Classroom index | Originals and full outcomes

R10 | ODSC Demo 06B | Agents / Owner and native validator | DeepSeek Flash | reserve

Read the full outcome matrix before this selected trace

Read-only historical evidence. Original commands are never executed by the archive. Original published teaching history, with additional privacy-only redactions of ambient context and device metadata. No new run.

Full child history 5bafc79ee351472ca28ad6c50ed6d8e3

ConversationStateUpdateEvent
{
  "id": "e02bc6e0-69d6-4729-b9af-020abf71d1f3",
  "timestamp": "2026-10-17T17:32:10.969945",
  "source": "environment",
  "key": "agent",
  "value": {
    "llm": {
      "model": "openhands/deepseek-v4-flash",
      "api_key": null,
      "auth_type": "api_key",
      "openrouter_site_url": "https://docs.all-hands.dev/",
      "openrouter_app_name": "OpenHands",
      "num_retries": 2,
      "retry_multiplier": 8.0,
      "retry_min_wait": 8,
      "retry_max_wait": 64,
      "timeout": 120,
      "stream_idle_timeout": 120.0,
      "max_message_chars": 30000,
      "max_output_tokens": 16384,
      "api_mode": "auto",
      "capability_overrides": {},
      "stream": true,
      "drop_params": true,
      "disable_stop_word": false,
      "caching_prompt": true,
      "log_completions": false,
      "log_completions_folder": "logs/completions",
      "native_tool_calling": true,
      "reasoning_effort": "none",
      "enable_encrypted_reasoning": true,
      "prompt_cache_retention": "24h",
      "extended_thinking_budget": 200000,
      "usage_id": "default",
      "litellm_extra_body": {},
      "is_subscription": false
    },
    "tools": [
      {
        "name": "terminal",
        "params": {}
      },
      {
        "name": "file_editor",
        "params": {}
      },
      {
        "name": "task_tool_set",
        "params": {
          "sub_agent_scope": {
            "tools": true,
            "mcp_servers": true
          }
        }
      }
    ],
    "mcp_config": {},
    "include_default_tools": [
      "FinishTool",
      "ThinkTool"
    ],
    "agent_context": {
      "skills": [
        {
          "name": "add-javadoc",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "javadoc",
              "java documentation",
              "document java"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/add-javadoc/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Add comprehensive JavaDoc documentation to Java classes and methods. Use when documenting Java code, adding API documentation, or improving code documentation.",
          "license": "MIT",
          "compatibility": "Requires Java source files",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/add-javadoc",
            "scripts": [],
            "references": [
              "example.md"
            ],
            "assets": []
          }
        },
        {
          "name": "add-skill",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/add-skill/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Import an existing skill from a GitHub repository URL into the current workspace. Use only when the user provides or references a GitHub URL/repo to fetch from (e.g., `/add-skill https://github.com/OpenHands/extensions/tree/main/skills/codereview` or \"add the codereview skill from https://github.com/OpenHands/extensions/\"). Handles fetching the skill files and placing them in .agents/skills/. This does not author new skills — to create a new skill from scratch (no source URL), use the skill-creator skill instead.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/add-skill",
            "scripts": [
              "fetch_skill.py"
            ],
            "references": [],
            "assets": []
          }
        },
        {
          "name": "agent-canvas-environment",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "agent canvas",
              "agent-canvas",
              "local conversation",
              "delegate local conversation",
              "session api key",
              "X-Session-API-Key",
              "localhost:8001"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/agent-canvas-environment/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Work effectively inside a local Agent Canvas environment, including local agent-server auth, frontend/backend port discovery, safe workspace hygiene, and delegating work to a new local conversation through POST /api/conversations.",
          "disable_model_invocation": false
        },
        {
          "name": "agent-creator",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/agent-creator"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/agent-creator/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create file-based sub-agents as Markdown files following the OpenHands SDK format. Guides the user through a structured interview to collect requirements, then generates a ready-to-deploy agent file. Use this skill when the user wants to create, design, or build a new sub-agent, even if they don't use the /agent-creator command.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/agent-creator",
            "scripts": [],
            "references": [
              "fallback.md"
            ],
            "assets": []
          }
        },
        {
          "name": "agent-sdk-builder",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "task",
            "triggers": [
              "/agent-builder",
              "/agent-sdk-builder"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/agent-sdk-builder/SKILL.md",
          "inputs": [
            {
              "name": "INITIAL_PROMPT",
              "description": "Initial SDK requirements"
            }
          ],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Guided workflow for building custom AI agents using the OpenHands Software Agent SDK. Use when you want to create a new agent through an interactive interview process that gathers requirements and generates implementation plans.",
          "disable_model_invocation": false
        },
        {
          "name": "azure-devops",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "azure_devops",
              "azure"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/azure-devops/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Interact with Azure DevOps repositories, pull requests, and APIs using the AZURE_DEVOPS_TOKEN environment variable. Use when working with code hosted on Azure DevOps or managing Azure DevOps resources.",
          "disable_model_invocation": false
        },
        {
          "name": "bitbucket",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "bitbucket"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/bitbucket/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Bitbucket integration hub. Detects whether the repository is on Bitbucket Cloud or Bitbucket Data Center and directs you to the matching detailed skill (bitbucket-cloud or bitbucket-data-center). Use for any Bitbucket repository or pull request task.",
          "disable_model_invocation": false
        },
        {
          "name": "bitbucket-cloud",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/bitbucket-cloud/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Bitbucket Cloud (bitbucket.org) specifics — authenticate with BITBUCKET_TOKEN, use the REST API v2, workspace/repo_slug repositories, and the create_bitbucket_pr tool. Loaded on demand by the bitbucket skill once a Cloud environment is detected.",
          "disable_model_invocation": false
        },
        {
          "name": "bitbucket-data-center",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/bitbucket-data-center/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Bitbucket Data Center (self-hosted Bitbucket Server) specifics — authenticate with BITBUCKET_DATA_CENTER_TOKEN, use the REST API 1.0, PROJECT/repo_slug repositories, scm/ git remotes, and the create_bitbucket_data_center_pr tool. Loaded on demand by the bitbucket skill once a Data Center environment is detected.",
          "disable_model_invocation": false
        },
        {
          "name": "canvas-extension-api",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/canvas-extension-api/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"create an OpenHands App\", \"scaffold a Canvas App\", \"build an app with the Canvas Extensions API\", \"build an Agent Canvas App\", \"bundle a single-file Canvas App\", \"build a Sidecar-backed Canvas App\", \"add onboarding for an App service\", \"add a custom interface to Agent Canvas\", \"validate an OpenHands App\", \"make a Canvas App look native\", \"match Agent Canvas styles\", \"style a canvas extension\", \"reuse OpenHands design tokens\", \"add native Tailwind classes to an app\", or mentions Canvas Apps, Agent Canvas extensions, Blob-importable app bundles, registerPage, app pages, Sidecars, or canvas extension packages.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/canvas-extension-api",
            "scripts": [
              "validate-extension.mjs",
              "validate-extension.test.mjs"
            ],
            "references": [
              "acceptance-checklist.md",
              "backend-safety.md",
              "connections.md",
              "native-design.md",
              "packaging-recipes.md",
              "sidecar-pattern.md",
              "testing-and-installation.md",
              "v1-contract.md"
            ],
            "assets": []
          }
        },
        {
          "name": "code-review",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/codereview",
              "/codereview-roasted"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/code-review/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Review code changes for material correctness, security, compatibility, and maintainability risks, grounded in the current repository and acceptance criteria.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/code-review",
            "scripts": [],
            "references": [
              "risk-evaluation.md",
              "supply-chain-security.md"
            ],
            "assets": []
          }
        },
        {
          "name": "code-simplifier",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/simplify"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/code-simplifier/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Analyzes recently modified code across three dimensions - code reuse, code quality, and efficiency - and provides actionable improvement suggestions. This skill should be used when the user asks to \"simplify code\", \"refine code\", \"clean up code\", \"improve code quality\", or requests a simplification review of recent changes.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/code-simplifier",
            "scripts": [],
            "references": [
              "code-quality-review.md",
              "code-reuse-review.md",
              "efficiency-review.md"
            ],
            "assets": []
          }
        },
        {
          "name": "datadog",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "datadog"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/datadog/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production issues, monitoring application performance, or investigating alerts.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/datadog",
            "scripts": [],
            "references": [
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "deno",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "deno",
              "deno.json",
              "deno.jsonc",
              "deno.lock"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/deno/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "If the project uses deno, use this skill. Use this skill to initialize and work with Deno projects, add/remove dependencies (JSR and npm), run tasks and scripts with appropriate permissions, and use built-in tooling (fmt/lint/test).",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/deno",
            "scripts": [],
            "references": [
              "README.md"
            ],
            "assets": []
          }
        },
        {
          "name": "discord",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "discord",
              "discord api",
              "discord bot",
              "discord webhook",
              "discord.js",
              "discord.py"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/discord/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Build and automate Discord integrations (bots, webhooks, slash commands, and REST API workflows). Use when the user mentions Discord, a Discord server/guild, channels, webhooks, bot tokens, slash commands/application commands, discord.js, or discord.py.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/discord",
            "scripts": [
              "__init__.py",
              "_http.py",
              "post_webhook.py",
              "send_message.py"
            ],
            "references": [
              "REFERENCE.md"
            ],
            "assets": []
          }
        },
        {
          "name": "docker",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "docker",
              "container"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/docker/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Run Docker commands within a container environment, including starting the Docker daemon and managing containers. Use when building, running, or managing Docker containers and images.",
          "disable_model_invocation": false
        },
        {
          "name": "evidence-based-citations",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "evidence-based",
              "cite source",
              "cite sources",
              "official source",
              "official link",
              "official links",
              "official docs",
              "official documentation",
              "verifiable source"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/evidence-based-citations/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Back factual claims and field values with official, verifiable sources. Use when the user asks to fill fields, answer questions, or make claims that must be supported by an exact quote and an official link.",
          "disable_model_invocation": false
        },
        {
          "name": "flarglebargle",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "flarglebargle"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/flarglebargle/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "A test skill that responds to the magic word \"flarglebargle\" with a compliment. Use for testing skill activation and trigger functionality.",
          "disable_model_invocation": false
        },
        {
          "name": "frontend-design",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/frontend-design/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.",
          "license": "Complete terms in LICENSE.txt",
          "disable_model_invocation": false
        },
        {
          "name": "github",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "github"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Interact with GitHub repositories, pull requests, issues, and workflows using the GITHUB_TOKEN environment variable and GitHub CLI. Use when working with code hosted on GitHub or managing GitHub resources.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github",
            "scripts": [
              "agent_conversation.py",
              "github_client.py"
            ],
            "references": [
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "github-actions",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "github actions",
              "github workflow",
              "actions workflow",
              "gh actions",
              ".github/workflows"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-actions/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create, debug, and test GitHub Actions workflows and custom actions. Use when building CI/CD pipelines, automating workflows, or troubleshooting GitHub Actions.",
          "disable_model_invocation": false
        },
        {
          "name": "github-agents-md-maintainer",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/agents-md:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-agents-md-maintainer/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that keeps AGENTS.md current in one or more GitHub repositories. On a schedule - weekly by default - it clones the default branch, starts an OpenHands conversation that reads the repository and creates or updates AGENTS.md, and opens a pull request with the result.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-agents-md-maintainer",
            "scripts": [
              "github_client.py",
              "main.py"
            ],
            "references": [
              "state-schema.md"
            ],
            "assets": []
          }
        },
        {
          "name": "github-delivery-watchdog",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/github-delivery-watchdog"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-delivery-watchdog/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Periodically check pull requests and merge only current heads with independent review, tests, and passing CI.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-delivery-watchdog",
            "scripts": [
              "github_client.py",
              "worker.py"
            ],
            "references": [],
            "assets": []
          }
        },
        {
          "name": "github-issue-to-pr",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/issue-to-pr:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-issue-to-pr/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that implements GitHub issues when a configurable trigger label is applied. Polls one or more repositories deterministically, clones the default branch, starts one OpenHands conversation per label event, then commits, pushes, and opens the pull request itself.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-issue-to-pr",
            "scripts": [
              "agent_conversation.py",
              "github_client.py",
              "main.py",
              "worker.py"
            ],
            "references": [
              "state-schema.md"
            ],
            "assets": []
          }
        },
        {
          "name": "github-issue-triage",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/github-issue-triage"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-issue-triage/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Prioritize open issues and establish acceptance criteria before marking them ready for development.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-issue-triage",
            "scripts": [
              "agent_conversation.py",
              "github_client.py",
              "triage_publication.py",
              "worker.py"
            ],
            "references": [],
            "assets": []
          }
        },
        {
          "name": "github-pr-review",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/github-pr-review"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-pr-review/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Post PR review comments using the GitHub API with inline comments, suggestions, and priority labels.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-pr-review",
            "scripts": [],
            "references": [
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "github-pr-reviewer",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/pr-reviewer:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-pr-reviewer/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that reviews GitHub pull requests when a configured reviewer is requested or a trigger label is applied. Starts one OpenHands review conversation per request with the pull request's exact head checked out, and publishes the review to GitHub.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-pr-reviewer",
            "scripts": [
              "agent_conversation.py",
              "github_client.py",
              "main.py",
              "maintainer_handoff.py",
              "publication.py",
              "worker.py"
            ],
            "references": [
              "state-schema.md",
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "github-repo-monitor",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/github-monitor:poll"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-repo-monitor/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"monitor a GitHub repository\", \"watch GitHub for issues or PRs\", \"respond to @OpenHands mentions on GitHub\", \"set up an OpenHands GitHub integration\", \"trigger OpenHands from a GitHub comment\", or \"poll a GitHub repo for a trigger phrase\". Guides the user through creating a cron automation that polls a single repository and starts an OpenHands conversation whenever a configurable trigger phrase is detected in an issue or PR comment.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-repo-monitor",
            "scripts": [
              "github_client.py",
              "main.py"
            ],
            "references": [
              "github-api.md",
              "state-schema.md",
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "github-stale-ci-pr-closer",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/github-stale-ci-pr-closer"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-stale-ci-pr-closer/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Warn and close abandoned pull requests whose required CI remains failing.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/github-stale-ci-pr-closer",
            "scripts": [
              "worker.py"
            ],
            "references": [],
            "assets": []
          }
        },
        {
          "name": "gitlab",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "gitlab"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/gitlab/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Interact with GitLab repositories, merge requests, and APIs using the GITLAB_TOKEN environment variable. Use when working with code hosted on GitLab or managing GitLab resources.",
          "disable_model_invocation": false
        },
        {
          "name": "gitlab-issue-to-mr",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/issue-to-mr:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/gitlab-issue-to-mr/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that implements GitLab issues when a configurable trigger label is applied. Polls one or more projects deterministically, clones the default branch, starts one OpenHands conversation per label event, then commits, pushes, and opens the merge request itself.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/gitlab-issue-to-mr",
            "scripts": [
              "main.py"
            ],
            "references": [
              "state-schema.md"
            ],
            "assets": []
          }
        },
        {
          "name": "incident-retrospective",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/incident-retro:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/incident-retrospective/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that drafts incident retrospectives. Gathers incident-channel messages from Slack, collects linked tickets and follow-ups from Linear, and publishes a retrospective draft to Notion with a timeline, impact summary, root-cause hypotheses, and action items.\n",
          "disable_model_invocation": false
        },
        {
          "name": "iterate",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/iterate",
              "/verify",
              "/babysit"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/iterate/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Iterate on a GitHub pull request — drive it through CI, code review, and QA until it is merge-ready. Poll verification layers with `gh` CLI, diagnose and fix CI failures, address review feedback, retry flaky checks, push fixes, and repeat. The agent is the orchestration loop.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/iterate",
            "scripts": [],
            "references": [
              "heuristics.md",
              "verification.md",
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "jira-issue-to-pr",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/jira-issue-to-pr/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"set up a Jira automation to create pull requests\", \"poll Jira for create-pr issues\", \"automatically create GitHub PRs from Jira tickets\", \"deploy a Jira issue-to-PR automation\", \"create a Jira to GitHub PR workflow\", \"set up the Jira issue to GitLab MR automation\", \"set up the Jira issue to Bitbucket PR automation\", \"open GitLab merge requests from Jira tickets\", \"open Bitbucket pull requests from Jira tickets\", or mentions automating pull request or merge request creation from a Jira label. Deploys a cron-based OpenHands automation that watches a Jira Cloud project for issues labeled with a configurable label (default: \"create-pr\") and spawns an agent conversation that opens a pull request on GitHub (the default), a merge request on GitLab, or a pull request on Bitbucket for each new issue found, chosen with git_provider. The target repository is read from the body of the Jira ticket - no repo parameter is required at deploy time.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/jira-issue-to-pr",
            "scripts": [
              "main.py",
              "setup_webhook.py"
            ],
            "references": [
              "setup.md"
            ],
            "assets": []
          }
        },
        {
          "name": "jupyter",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "ipynb",
              "jupyter"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/jupyter/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Read, modify, execute, and convert Jupyter notebooks programmatically. Use when working with .ipynb files for data science workflows, including editing cells, clearing outputs, or converting to other formats.",
          "disable_model_invocation": false
        },
        {
          "name": "kubernetes",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "kubernetes",
              "k8s",
              "kube"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/kubernetes/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Set up and manage local Kubernetes clusters using KIND (Kubernetes IN Docker). Use when testing Kubernetes applications locally or developing cloud-native workloads.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/kubernetes",
            "scripts": [],
            "references": [
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "learn-from-code-review",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/learn-from-reviews",
              "learn from code review",
              "distill reviews"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/learn-from-code-review/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Distill code review feedback from GitHub PRs into reusable skills and guidelines. This skill should be used when users ask to \"learn from code reviews\", \"distill PR feedback\", \"improve coding standards\", \"extract learnings from reviews\", or want to generate skills/guidelines from historical review comments.",
          "disable_model_invocation": false
        },
        {
          "name": "linear",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "linear",
              "ticket",
              "issue tracking"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/linear/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Interact with Linear project management - query issues, update status, create tickets, and manage workflows using the Linear GraphQL API. Use when working with Linear tickets, sprints, or project tracking.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/linear",
            "scripts": [],
            "references": [
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "linear-triage",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/linear-triage:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/linear-triage/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that triages new Linear issues. Inspects the issue title, description, team, customer, priority, and recent related issues via Linear MCP. Suggests labels, priority, likely owner, duplicates, and posts a clarifying comment.\n",
          "disable_model_invocation": false
        },
        {
          "name": "news-digest",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/news-digest:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/news-digest/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that reads a list of public RSS and Atom feeds on a schedule - daily by default - keeps what is new and matches the configured topics, and has an agent write a short digest of it. It needs no credentials: the feeds are public URLs and, on a local Agent Canvas, the conversation is started with no secrets and no MCP servers.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/news-digest",
            "scripts": [
              "main.py"
            ],
            "references": [
              "state-schema.md"
            ],
            "assets": []
          }
        },
        {
          "name": "notion",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "notion"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/notion/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create, search, and update Notion pages/databases using the Notion API. Use for documenting work, generating runbooks, and automating knowledge base updates.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/notion",
            "scripts": [],
            "references": [
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "npm",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "npm"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/npm/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Handle npm package installation in non-interactive environments by piping confirmations. Use when installing Node.js packages that require user confirmation prompts.",
          "disable_model_invocation": false
        },
        {
          "name": "openhands-api",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "openhands-api",
              "openhands-api-v1",
              "openhands-cloud",
              "openhands-cloud-api-v1",
              "oh-api-v1",
              "oh-cloud-api-v1"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/openhands-api/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Reference skill for the OpenHands Cloud REST API (V1) and agent-server APIs, including how to start additional cloud or local backend conversations for fresh-context or delegated work.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/openhands-api",
            "scripts": [
              "openhands_api.py",
              "openhands_api.ts"
            ],
            "references": [
              "README.md",
              "TROUBLESHOOTING.md",
              "example_prompt.md",
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "openhands-automation",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "automation",
              "automations",
              "scheduled task",
              "cron job",
              "cron schedule",
              "webhook",
              "webhooks",
              "event trigger",
              "github event",
              "pull request automation",
              "issue automation",
              "/automation:create"
            ]
          },
          "source": "/Users/instructor/.agents/skills/openhands-automation/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"create an automation\", \"schedule a task\", \"set up a cron job\", \"webhook integration\", \"event-triggered automation\", or mentions automations, scheduled tasks, cron scheduling, or webhook events in OpenHands Cloud.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/openhands-automation",
            "scripts": [],
            "references": [
              "ab-testing.md",
              "custom-automation.md",
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "openhands-enterprise-troubleshooting",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "openhands enterprise",
              "OHE troubleshooting",
              "openhands not working",
              "sandbox failed",
              "replicated admin console",
              "keycloak login",
              "certificate error",
              "LLM connectivity",
              "upgrade failed",
              "support bundle",
              "openhands install"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/openhands-enterprise-troubleshooting/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when a user reports an issue with OpenHands Enterprise (OHE) on a self-hosted (Replicated VM-based) installation. Use for diagnosing sandbox startup failures, auth issues, certificate errors, LLM connectivity problems, Keycloak login issues, Replicated Admin Console access, upgrade failures, or resource exhaustion. Helps triage symptoms, run diagnostic commands, guide through recovery steps, generate and analyze Replicated support bundles offline, and produce escalation handoffs.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/openhands-enterprise-troubleshooting",
            "scripts": [
              "bundle_triage.py"
            ],
            "references": [
              "diagnostics.md",
              "support-bundle-analysis.md"
            ],
            "assets": []
          }
        },
        {
          "name": "openhands-sdk",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "openhands-sdk",
              "openhands sdk",
              "software-agent-sdk",
              "agent-sdk",
              "/sdk"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/openhands-sdk/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Reference skill for the OpenHands Software Agent SDK - the Python framework for building AI agents that write software. Use when you need to build agents with the SDK, create custom tools, configure LLMs, manage conversations, delegate to sub-agents, or deploy agents locally or remotely.",
          "disable_model_invocation": false
        },
        {
          "name": "pdflatex",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "pdflatex"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/pdflatex/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Install and use pdflatex to compile LaTeX documents into PDFs on Linux. Use when generating academic papers, research publications, or any documents written in LaTeX.",
          "disable_model_invocation": false
        },
        {
          "name": "plain-english-content",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "plain English"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/plain-english-content/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"write in plain English\", \"make this easier to read\", \"rewrite guidance\", \"improve report clarity\", or produce accessible public-facing prose. It applies plain English content design principles: active voice, front-loaded content, sentence case, and no bold or italics for emphasis.\n",
          "license": "MIT",
          "disable_model_invocation": false
        },
        {
          "name": "prd",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "create a prd",
              "write prd",
              "plan this feature",
              "requirements for",
              "spec out",
              "/prd"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/prd/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD.",
          "disable_model_invocation": false
        },
        {
          "name": "qa-changes",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/qa-changes"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/qa-changes/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"QA a pull request\", \"test PR changes\", \"verify a PR works\", \"functionally test changes\", or when an automated workflow triggers QA validation of code changes. Provides a structured methodology for setting up the environment, exercising changed behavior, and reporting results.",
          "disable_model_invocation": false
        },
        {
          "name": "release-notes",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/release-notes"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/release-notes/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Generate formatted changelogs from git history since the last release tag. Use when preparing release notes that categorize changes into breaking changes, features, fixes, and other sections.",
          "disable_model_invocation": false
        },
        {
          "name": "research-brief",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/research-brief:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/research-brief/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that writes a recurring research brief. Uses Tavily MCP for web research and Notion MCP to publish the final brief with executive summary, implications, and source citations.\n",
          "disable_model_invocation": false
        },
        {
          "name": "security",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "security",
              "vulnerability",
              "authentication",
              "authorization",
              "permissions"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/security/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Security best practices for secure coding, authentication, authorization, and data protection. Use when developing features that handle sensitive data, user authentication, or require security review.",
          "disable_model_invocation": false
        },
        {
          "name": "simplified-technical-english",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "simplified technical english",
              "STE",
              "ASD-STE100"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/simplified-technical-english/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Write explanations and chat in the style of ASD-STE100 Simplified Technical English: short active sentences, one idea each, plain approved words. Use this when the reader benefits from maximum clarity: summaries, PR descriptions, safety- or ops-critical instructions, or any comment or reply that should be easy  to read the first time. Applies to PROSE ONLY; it must never change code, identifiers, APIs, or commit messages.\n",
          "license": "MIT",
          "disable_model_invocation": false
        },
        {
          "name": "skill-creator",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/skill-creator/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user wants to \"add a skill\", \"create a skill\", \"make a new skill\", \"write a new skill\", \"improve skill description\", \"organize skill content\", or needs guidance on skill structure, progressive disclosure, or skill development best practices. Use this (not add-skill) when authoring a new skill from scratch rather than importing one from a GitHub URL.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/skill-creator",
            "scripts": [
              "init_skill.py",
              "quick_validate.py"
            ],
            "references": [
              "output-patterns.md",
              "windows.md",
              "workflows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "slack-channel-monitor",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/slack-monitor:poll"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/slack-channel-monitor/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"monitor a Slack channel\", \"watch Slack for messages\", \"create a Slack bot that responds to mentions\", \"set up an OpenHands Slack integration\", \"trigger OpenHands from Slack\", \"respond to @openhands in Slack\", or \"poll Slack channels for a trigger phrase\". Guides the user through creating a cron automation that watches up to 10 Slack channels and starts an OpenHands conversation whenever a configurable trigger phrase is detected.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/slack-channel-monitor",
            "scripts": [
              "main.py"
            ],
            "references": [
              "slack-api.md",
              "state-schema.md",
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "slack-standup-digest",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/standup-digest:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/slack-standup-digest/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create an automation that generates an async standup digest from Slack. Searches selected channels for messages since the previous workday, groups updates by project, highlights blockers and decisions, and posts a summary to a target channel.\n",
          "disable_model_invocation": false
        },
        {
          "name": "spark-version-upgrade",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "spark upgrade",
              "spark migration",
              "spark version",
              "upgrade spark",
              "spark 3",
              "spark 4",
              "pyspark upgrade"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/spark-version-upgrade/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Upgrade Apache Spark applications between major versions (2.x→3.x, 3.x→4.x). Covers build files, deprecated APIs, configuration changes, SQL/DataFrame updates, and test validation.",
          "license": "MIT",
          "compatibility": "Requires Java 8+/11+/17+, Scala 2.12/2.13, Maven/Gradle/SBT, Apache Spark",
          "disable_model_invocation": false
        },
        {
          "name": "ssh",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "ssh",
              "remote server",
              "remote machine",
              "remote host",
              "remote connection",
              "secure shell",
              "ssh keys"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/ssh/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Establish and manage SSH connections to remote machines, including key generation, configuration, and file transfers. Use when connecting to remote servers, executing remote commands, or transferring files via SCP.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/ssh",
            "scripts": [],
            "references": [
              "windows.md"
            ],
            "assets": []
          }
        },
        {
          "name": "swift-linux",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "swift-linux",
              "swift-debian",
              "swift-installation"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/swift-linux/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Install and configure Swift programming language on Debian Linux for server-side development. Use when building Swift applications on Linux or setting up a Swift development environment.",
          "disable_model_invocation": false
        },
        {
          "name": "technical-writing",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/technical-writing/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Guides technical explanations toward flowing, direct, conversational prose. This skill should be used for engineering chat, design discussion, architecture analysis, code-review explanations, and technical recommendations that should be concise without becoming fragmented or vague.",
          "disable_model_invocation": false
        },
        {
          "name": "theme-factory",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/theme-factory/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.",
          "license": "Complete terms in LICENSE.txt",
          "disable_model_invocation": false
        },
        {
          "name": "ticket-to-code-change",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/ticket-to-code-change:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/ticket-to-code-change/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Set up a ticket-to-code-change automation using Linear as the issue tracker and GitHub, GitLab, or Bitbucket as the source-control provider. The Jira templates are served by the jira-issue-to-pr skill instead. Watches for implementation-ready tickets, starts an OpenHands conversation to implement and test the request, opens a pull or merge request, and links the result back to the ticket.\n",
          "disable_model_invocation": false
        },
        {
          "name": "upstream-fork-sync",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/upstream-fork-sync:setup"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/upstream-fork-sync/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"keep a fork in sync\", \"rebase local changes on upstream\", \"sync my fork nightly\", \"long-lived fork\", or \"automate upstream rebases\". Guides the user through creating a cron automation that fetches upstream changes, rebases local customizations on top, verifies the software works, and replaces the running version when the rebase is clean.\n",
          "disable_model_invocation": false
        },
        {
          "name": "use-jev",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "jev"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/use-jev/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Use Jev, a general classifier, for typed choices, scores, and yes/no probabilities in software.",
          "disable_model_invocation": false
        },
        {
          "name": "uv",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "uv",
              "uv.lock"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/uv/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "If the project uses uv, use this skill. Use this skill to create/manage Python projects and environments with `uv`, add/remove dependencies, sync a project from `uv.lock`, and run commands in the project environment.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/cache/skills/public-skills/skills/uv",
            "scripts": [],
            "references": [
              "README.md"
            ],
            "assets": []
          }
        },
        {
          "name": "vercel",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "vercel",
              "preview deployment"
            ]
          },
          "source": "/Users/instructor/.openhands/cache/skills/public-skills/skills/vercel/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Deploy and manage applications on Vercel, including preview deployments and deployment protection. Use when working with Vercel-hosted projects or configuring Vercel deployments.",
          "disable_model_invocation": false
        },
        {
          "name": "templates/design-document-template",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/templates/design-document-template.md",
          "inputs": [],
          "is_agentskills_format": false,
          "version": "1.0.0",
          "disable_model_invocation": false
        },
        {
          "name": "design-doc",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "design document",
              "design doc",
              "technical design",
              "design template",
              "write design",
              "create design document"
            ]
          },
          "source": "/Users/instructor/.agents/skills/design-doc/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Provides guidance and templates for writing comprehensive technical design documents. Use when creating design docs, technical specifications, or architecture documents.",
          "disable_model_invocation": false
        },
        {
          "name": "faceless-explainer",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/faceless-explainer/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Turn arbitrary text — an article, notes, a topic, a brief — into a faceless explainer video: there is no site or footage to capture, so the visuals are invented per scene (typography, abstract graphics, diagrams, data-viz). Use for topic explainers, concept breakdowns, how-tos, listicles. Not a video built from a website (/product-launch-video — promo or tour). Unclear → /hyperframes.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/faceless-explainer",
            "scripts": [
              "assemble-index.mjs",
              "assemble-index.test.mjs",
              "audio.mjs",
              "audio.test.mjs",
              "build-frame.mjs",
              "captions.mjs",
              "captions.test.mjs",
              "frame-packets.mjs",
              "frame-packets.test.mjs",
              "lib/assets.mjs",
              "lib/bgm-volume.mjs",
              "lib/captured-fonts.mjs",
              "lib/dimensions.mjs",
              "lib/frame-packets-core.mjs",
              "lib/host-audio.mjs",
              "lib/pad-frame-duration.mjs",
              "lib/storyboard.mjs",
              "lib/tokens.mjs",
              "lib/transition-registry.mjs",
              "lib/transitions.json",
              "transitions.mjs",
              "transitions.test.mjs"
            ],
            "references": [
              "cut-catalog.md",
              "motion-language.md",
              "story-design.md",
              "visual-design.md"
            ],
            "assets": []
          }
        },
        {
          "name": "find-skills",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/find-skills/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Helps users discover and install agent skills when they ask questions like \"how do I do X\", \"find a skill for X\", \"is there a skill that can...\", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.",
          "disable_model_invocation": false
        },
        {
          "name": "general-video",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/general-video/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated motion-first unit, including an animated title. Route fresh creation through hyperframes before using this skill.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/general-video",
            "scripts": [
              "frame-packets.mjs",
              "frame-packets.test.mjs",
              "lib/frame-packets-core.mjs"
            ],
            "references": [],
            "assets": []
          }
        },
        {
          "name": "hyperframes",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Mandatory entry point: read this first for any request to make, create, edit, animate, or render a video, animation, or motion graphic, including a promo, explainer, captioned clip, title card, overlay, slideshow or interactive deck, Remotion port, or any HyperFrames HTML composition. Also use it to inspect, diagnose, validate, preview, publish, or batch-render an existing HyperFrames project. Inputs may be a website URL, GitHub PR, Figma design or URL, text or brief, existing footage, or music. It resumes project state, captures intent when applicable, selects and installs the owning workflow, and routes domain capabilities. HyperFrames is the default output framework unless the user explicitly chooses another framework for the deliverable or asks only to record a browser session.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes",
            "scripts": [
              "lib/frame-packets-core.mjs",
              "plugin-cli.mjs",
              "plugin-cli.test.mjs"
            ],
            "references": [
              "brief-contract.md",
              "brief-format.md",
              "capability-menu.md",
              "frame-worker-core.md",
              "intent-interview.md",
              "pitch-round.md",
              "plugin-installation.md",
              "production-loop.md",
              "review-loop.md",
              "route-briefs.md",
              "routes/embedded-captions.md",
              "routes/faceless-explainer.md",
              "routes/general-video.md",
              "routes/motion-graphics.md",
              "routes/music-to-video.md",
              "routes/pr-to-video.md",
              "routes/product-launch-video.md",
              "routes/remotion-to-hyperframes.md",
              "routes/slideshow.md",
              "routes/talking-head-recut.md",
              "script-format.md",
              "skill-lifecycle.md",
              "storyboard-format.md",
              "subagent-dispatch.md",
              "workflow-catalog.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-animation",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-animation/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "All animation knowledge for HyperFrames — atomic motion rules, multi-phase scene blueprints, scene transitions, broader motion-design techniques, AND the seven runtime adapters (GSAP default, plus Lottie, Three.js, Anime.js, CSS keyframes, Web Animations API, TypeGPU). Use for any motion or animation task: pick 2-4 rules and compose, or load a blueprint, or look up runtime-specific API (e.g. GSAP eases / Lottie player / Three.js mixer). Also covers auditing an existing composition's choreography (animation map) and 24 named text-animation effects. HyperFrames-native: single paused timeline, seek-safe, deterministic.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes-animation",
            "scripts": [
              "animation-map-sampling.mjs",
              "animation-map-sampling.test.mjs",
              "animation-map.mjs",
              "animation-map.test.mjs",
              "package-loader.mjs",
              "package-loader.test.mjs"
            ],
            "references": [
              "motion-blur.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-audio",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-audio/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Use when audio already placed in a HyperFrames composition needs to be mixed: fade-in/fade-out, crossfade, track gain or volume, volume automation, ducking, a music bed that fights a voiceover (voiceover carve), effects on a track (EQ, compressor, limiter, gate, saturation, delay, reverb, chorus, phaser, bitcrush), automation envelopes drawn on a track's volume or any effect parameter, or one submix bus carrying a chain, a fader and an automation clock for several tracks at once (`<hf-audio-group>`). Don't use for sourcing or generating audio — finding BGM, SFX, or making a voiceover is `/media-use`. Don't use for clip timing or track layout, which is `/hyperframes-core`.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes-audio",
            "scripts": [
              "carve.mjs",
              "carve.test.mjs"
            ],
            "references": [
              "attributes.md",
              "diagnosis.md",
              "fx-registry.md",
              "presets.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-cli",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-cli/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Use the HyperFrames CLI development loop: init, add, catalog, capture, lint, check, snapshot, compare, grade-compare, preview, play, present, beats, keyframes, single or batch render, publish, cloud, cloudrun, feedback, lambda, doctor, browser, info, upgrade, skills, compositions, timeline, history, clean, docs, benchmark, telemetry, transcribe, auth, tts, and remove-background. Also use when diagnosing build or render failures. validate, inspect, and layout are deprecated aliases; use check. Covers local, HeyGen-hosted cloud, AWS Lambda, and Google Cloud Run rendering.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes-cli",
            "scripts": [],
            "references": [
              "beats.md",
              "cloud.md",
              "cloudrun.md",
              "compare-and-batch.md",
              "doctor-browser.md",
              "init-and-scaffold.md",
              "lambda.md",
              "lint-validate-inspect.md",
              "preview-render.md",
              "upgrade-info-misc.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-core",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-core/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "The HyperFrames composition contract — build one renderable project. Use for composition structure, the `data-*` timing attributes, `class=\"clip\"`, tracks, sub-compositions, variables, framework-owned media playback, deterministic-render rules, and validation. Read before writing composition HTML.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes-core",
            "scripts": [],
            "references": [
              "composition-patterns.md",
              "creator-editing-recipes.md",
              "data-attributes.md",
              "determinism-rules.md",
              "full-screen-motion.md",
              "minimal-composition.md",
              "sub-compositions.md",
              "tailwind.md",
              "tracks-and-clips.md",
              "variables-and-media.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-creative",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-creative/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Non-animation creative direction for HyperFrames videos. Use for design spec (frame.md / design.md) handling, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand / style decisions. For atomic motion patterns and scene blueprints, use `hyperframes-animation`.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes-creative",
            "scripts": [
              "contrast-report.mjs",
              "extract-audio-data.py",
              "package-loader.mjs",
              "package-loader.test.mjs"
            ],
            "references": [
              "audio-reactive.md",
              "beat-direction.md",
              "composition-patterns.md",
              "data-in-motion.md",
              "design-adherence.md",
              "design-picker.md",
              "design-spec.md",
              "house-style.md",
              "motion-principles.md",
              "narration.md",
              "prompt-expansion.md",
              "story-spine.md",
              "storyboard-recipe.md",
              "typography.md",
              "video-composition.md",
              "visual-styles.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-keyframes",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-keyframes/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Use when a HyperFrames composition needs a punch-in, punch-out, zoom, reframe, Ken Burns treatment, camera move, visual match/whip handoff, or other seek-safe 2D/3D keyframes; also for GSAP, CSS keyframes, Anime.js, WAAPI, FLIP, paths, masks, SVG morph/draw, text trails, 3D depth, or `hyperframes keyframes` diagnostics. Don't use for broad scene strategy, brand design, media sourcing, captions, or general video planning.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes-keyframes",
            "scripts": [],
            "references": [
              "keyframe-patterns.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-registry",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-registry/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Search, install, and wire registry blocks and components into HyperFrames compositions. Use BEFORE hand-building any named visual — whenever a brief, a user, or a storyboard names a look, effect, treatment, or transition such as CRT scanlines, glitch, chromatic aberration, film grain, a shimmer sweep, a chart, a code or terminal window, a map, or a confetti burst — because roughly 400 hosted items already cover many of them and the search ranks all of them with nothing installed, no project, and no account. Also use when running hyperframes add or hyperframes catalog, installing one item or every block matching a tag, wiring an installed item into index.html, or working with hyperframes.json. Covers discovery, install locations, block sub-composition wiring, component snippet merging, and authoring a new block or component to contribute upstream (idea → scaffold → validate → PR).",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/hyperframes-registry",
            "scripts": [],
            "references": [
              "component-quality-bar.md",
              "contributing.md",
              "demo-html-pattern.md",
              "discovery.md",
              "install-locations.md",
              "placeholder-material.md",
              "templates.md",
              "wiring-blocks.md",
              "wiring-components.md"
            ],
            "assets": []
          }
        },
        {
          "name": "hyperframes-studio",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/hyperframes-studio/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Use when working with a person on a HyperFrames project in Studio: first, whether their message asks for a change at all (questions, loose ideas and \"don't change anything\" get an answer and a plan, not an edit); for a new film, the plan, storyboard and build order that the HyperFrames launch films follow; and how the timeline should be laid out so it reads well (one caption track, one element kind per track, every scene a sub-composition) and where captions and key content may sit (safe zones). Don't use for how to perform an individual edit (split, trim, retime, volume, copy, swap): that is `creator-editing-recipes.md` in `/hyperframes-core`.\n",
          "disable_model_invocation": false
        },
        {
          "name": "media-use",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/media-use/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Agent Media OS for a HyperFrames project. Resolve BGM, SFX, image, icon, brand logo, voice, color grade, or LUT into a frozen local file or paste-ready block + ledger record (one verb, `resolve`); generate via TTS / music / image models when the catalog misses; produce voiceover, transcription, captions, and background removal through one shared audio engine; operate on media (cut / reframe / transform); and reuse assets across projects. Also use for vague feedback that real footage looks dark, flat, boring, should feel retro/camcorder/print/ASCII, needs privacy, or needs a media reveal. When the host app provides its own music or sound-effect tools, use those for music and sound effects; `resolve --type bgm|sfx` needs the heygen CLI. When `HEYGEN_API_BASE` is set, HeyGen calls go through that host with no CLI sign-in.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/media-use",
            "scripts": [
              "audio-duck.mjs",
              "compatibility.test.mjs",
              "dither.mjs",
              "dither.test.mjs",
              "eval.mjs",
              "lib/config-lock.mjs",
              "lib/cutlist.mjs",
              "lib/duck.mjs",
              "lib/error-diffusion.mjs",
              "lib/index-gen.mjs",
              "lib/manifest.mjs",
              "lib/media-fetch.mjs",
              "lib/media-home.mjs",
              "lib/npx-sync.mjs",
              "lib/parakeet-words.mjs",
              "lib/prefs-store.mjs",
              "lib/recipe-store.mjs",
              "lib/telemetry.mjs",
              "lib/transcriptCutFade.mjs",
              "lib/words.mjs",
              "prefs.mjs",
              "recipe.mjs",
              "resolve-plugin.test.mjs",
              "resolve.mjs",
              "transcribe.mjs",
              "transcribe.test.mjs",
              "transcript-cut.mjs",
              "transcript-cut.test.mjs"
            ],
            "references": [
              "audio.md",
              "grading.md",
              "media-treatment-recipes.md",
              "media-treatments.md",
              "memory.md",
              "meta.md",
              "operations.md",
              "resolve.md",
              "setup-providers.md",
              "telemetry-dashboard.md"
            ],
            "assets": []
          }
        },
        {
          "name": "motion-graphics",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/motion-graphics/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "A short, design-led motion graphic where motion is the message — kinetic typography, stat count-up, chart/data-viz hit, logo sting / brand lockup, lower-third / callout / social overlay, animated map (highlight regions, connect places, zoom to a location), animated tweet / news-article / headline, webpage / UI animation (scroll, cursor, callouts), or fusing a real image's geometry into a chart. Usually under 10s (up to ~30s), no narration or live-action subject; renders to MP4 or transparent overlay. Longer / narrated / multi-scene → /general-video. Unclear → /hyperframes.\n",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/motion-graphics",
            "scripts": [],
            "references": [
              "builder-contract.md",
              "motion-vocabulary.md",
              "shot-plan-ir.md"
            ],
            "assets": []
          }
        },
        {
          "name": "openhands-cloud-api",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "openhands api",
              "openhands cloud api",
              "conversation events",
              "v1 api",
              "OH_API_KEY",
              "debug conversation",
              "conversation history",
              "inspect conversation"
            ]
          },
          "source": "/Users/instructor/.agents/skills/openhands-cloud-api/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Query and debug OpenHands Cloud conversations using the V1 API. Use when investigating conversation events, debugging agent issues, or accessing conversation history on app.all-hands.dev.",
          "disable_model_invocation": false
        },
        {
          "name": "openhands-conversations-api",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/openhands-conversations-api/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Use OpenHands Cloud V1 app conversations through the API. Use this when you need to create conversations, poll start tasks, inspect conversation records, and read event streams from the app server.",
          "disable_model_invocation": false
        },
        {
          "name": "openhands-current-guidance",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/openhands-current-guidance/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Use whenever working with OpenHands, OpenHands Enterprise or Replicated, automations, agent conversations, skills, plugins, runtime images, or integrations. Establish the deployed version and consult repo-local guidance, the current official OpenHands extensions skills, and tested local Enterprise overlays before making changes.",
          "disable_model_invocation": false
        },
        {
          "name": "orchestrate-multi-agent-conversations",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/orchestrate-multi-agent-conversations/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Design, implement, debug, and validate reliable OpenHands parent-child or multi-agent conversation workflows. Use for Conversation V1 orchestration, delegated work cells, parent factories, child startup and polling, Enterprise Replicated conversation state, runtime secret handoff, output contracts, timeout recovery, human approval gates, or failures where child conversations finish, pause, lose status, omit final responses, or start in the wrong repository.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/orchestrate-multi-agent-conversations",
            "scripts": [
              "validate_child_contract.py"
            ],
            "references": [
              "enterprise-openhands.md",
              "prompt-contracts.md"
            ],
            "assets": []
          }
        },
        {
          "name": "product-launch-video",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/product-launch-video/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Turn a product or marketing URL, pasted script, or brief into a product launch / promo video — SaaS promos, feature reveals, product demos, app and company launches. Use when the user wants to market, launch, promote, or reveal a product; the default for any commercial URL. Site tours / showcases of a website route here too — the brief carries the show-it-as-is intent. Unclear → /hyperframes.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/product-launch-video",
            "scripts": [
              "assemble-index.mjs",
              "assemble-index.test.mjs",
              "audio.mjs",
              "audio.test.mjs",
              "build-frame-colors.test.mjs",
              "build-frame-subsets.test.mjs",
              "build-frame.mjs",
              "captions.mjs",
              "captions.test.mjs",
              "capture-skill-guardrails.test.mjs",
              "frame-packets.mjs",
              "frame-packets.test.mjs",
              "lib/assets.mjs",
              "lib/bgm-volume.mjs",
              "lib/captured-fonts.mjs",
              "lib/dimensions.mjs",
              "lib/frame-packets-core.mjs",
              "lib/host-audio.mjs",
              "lib/pad-frame-duration.mjs",
              "lib/pad-frame-duration.test.mjs",
              "lib/storyboard.mjs",
              "lib/tokens.mjs",
              "lib/tokens.test.mjs",
              "lib/transition-registry.mjs",
              "lib/transitions.json",
              "media-contract.test.mjs",
              "stage-assets.mjs",
              "stage-assets.test.mjs",
              "transitions.mjs",
              "transitions.test.mjs"
            ],
            "references": [
              "cut-catalog.md",
              "motion-language.md",
              "story-design.md",
              "visual-design.md"
            ],
            "assets": []
          }
        },
        {
          "name": "typefully",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "source": "/Users/instructor/.agents/skills/typefully/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Create, schedule, and manage social media posts via Typefully. ALWAYS use this skill when asked to draft, schedule, post, or check tweets, posts, threads, or social media content for Twitter/X, LinkedIn, Threads, Bluesky, or Mastodon, or when the user drops a Typefully draft URL such as https://typefully.com/?a=<social_set_id>&d=<draft_id>.\n",
          "allowed_tools": [
            "Bash(./scripts/typefully.js:*)"
          ],
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.agents/skills/typefully",
            "scripts": [
              "typefully.js"
            ],
            "references": [
              "comments.md",
              "local-development.md",
              "platforms/linkedin.md",
              "platforms/x-articles.md",
              "platforms/x.md",
              "setup.md"
            ],
            "assets": []
          }
        },
        {
          "name": "conversation-history-search",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "search past conversations",
              "previous conversation",
              "conversation history",
              "earlier agent work",
              "what we did before"
            ]
          },
          "source": "/Users/instructor/.openhands/skills/installed/conversation-history-search/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "This skill should be used when the user asks to \"search past conversations\", \"find a previous conversation\", \"look through conversation history\", \"recall earlier agent work\", \"find what we did before\", or locate decisions, commands, errors, and solutions from prior Agent Canvas conversations.",
          "disable_model_invocation": false,
          "resources": {
            "skill_root": "/Users/instructor/.openhands/skills/installed/conversation-history-search",
            "scripts": [
              "__pycache__/search_history.cpython-312.pyc",
              "search_history.py"
            ],
            "references": [],
            "assets": []
          }
        },
        {
          "name": "autodocs",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "autodocs",
              "openwiki",
              "repo docs",
              "documentation automation",
              "generate wiki",
              "update wiki",
              "gitnexus docs",
              "agent docs"
            ]
          },
          "source": "/Users/instructor/.openhands/plugins/installed/autodocs/skills/autodocs/SKILL.md",
          "inputs": [],
          "is_agentskills_format": true,
          "version": "1.0.0",
          "description": "Generate and maintain durable repository documentation for humans and future coding agents. Use when asked to plan, initialize, update, repair, or automate repo docs, including OpenWiki-style docs and optional GitNexus-enriched docs.",
          "disable_model_invocation": false
        },
        {
          "name": "autodocs:init",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/autodocs:init"
            ]
          },
          "source": "/Users/instructor/.openhands/plugins/installed/autodocs/commands/init.md",
          "inputs": [],
          "is_agentskills_format": false,
          "version": "1.0.0",
          "description": "Initialize durable repository documentation for the current repository",
          "disable_model_invocation": false
        },
        {
          "name": "autodocs:plan",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/autodocs:plan"
            ]
          },
          "source": "/Users/instructor/.openhands/plugins/installed/autodocs/commands/plan.md",
          "inputs": [],
          "is_agentskills_format": false,
          "version": "1.0.0",
          "description": "Plan durable repository documentation without editing files",
          "disable_model_invocation": false
        },
        {
          "name": "autodocs:update",
          "content": "[REDACTED: unrelated ambient skill definition]",
          "trigger": {
            "type": "keyword",
            "keywords": [
              "/autodocs:update"
            ]
          },
          "source": "/Users/instructor/.openhands/plugins/installed/autodocs/commands/update.md",
          "inputs": [],
          "is_agentskills_format": false,
          "version": "1.0.0",
          "description": "Update existing durable repository documentation from recent repository changes",
          "disable_model_invocation": false
        }
      ],
      "system_message_suffix": "\nWorkshop isolation: Work only inside the current exercise repository. Do not read or write personal memory, user memory logs, or any files outside that repository. Do not record this exercise in memory. These workshop instructions override memory-keeping habits. Pass the same isolation boundary to delegated validators.",
      "load_user_skills": false,
      "load_public_skills": false,
      "marketplace_path": "marketplaces/default.json",
      "registered_marketplaces": [],
      "load_project_skills": true,
      "load_memory": true,
      "disabled_skills": [
        "agent-memory"
      ],
      "current_datetime": "2026-10-17T17:32:10.928060-05:00"
    },
    "system_prompt_filename": "system_prompt.j2",
    "security_policy_filename": "security_policy.j2",
    "system_prompt_kwargs": {
      "llm_security_analyzer": true
    },
    "condenser": {
      "llm": {
        "model": "openhands/deepseek-v4-flash",
        "api_key": null,
        "auth_type": "api_key",
        "openrouter_site_url": "https://docs.all-hands.dev/",
        "openrouter_app_name": "OpenHands",
        "num_retries": 2,
        "retry_multiplier": 8.0,
        "retry_min_wait": 8,
        "retry_max_wait": 64,
        "timeout": 120,
        "stream_idle_timeout": 120.0,
        "max_message_chars": 30000,
        "max_output_tokens": 16384,
        "api_mode": "auto",
        "capability_overrides": {},
        "stream": false,
        "drop_params": true,
        "disable_stop_word": false,
        "caching_prompt": true,
        "log_completions": false,
        "log_completions_folder": "logs/completions",
        "native_tool_calling": true,
        "reasoning_effort": "none",
        "enable_encrypted_reasoning": true,
        "prompt_cache_retention": "24h",
        "extended_thinking_budget": 200000,
        "usage_id": "condenser",
        "litellm_extra_body": {},
        "is_subscription": false
      },
      "max_size": 240,
      "keep_first": 2,
      "minimum_progress": 0.1,
      "hard_context_reset_max_retries": 5,
      "hard_context_reset_context_scaling": 0.8,
      "kind": "LLMSummarizingCondenser"
    },
    "tool_concurrency_limit": 1,
    "kind": "Agent"
  },
  "kind": "ConversationStateUpdateEvent"
}
SystemPromptEvent
{
  "id": "5e2ae089-cde7-4326-bf4a-425313a48c4d",
  "timestamp": "2026-10-17T17:32:11.499541",
  "source": "agent",
  "parent_id": "__root__",
  "system_prompt": {
    "cache_prompt": false,
    "type": "text",
    "text": "[REDACTED: ambient system/context, private source hash retained by instructor]"
  },
  "tools": [
    {
      "description": "Execute a shell command in the terminal within a persistent shell session.\n\n\n### Command Execution\n* One command at a time: You can only execute one shell command at a time.\n  If you need to run multiple commands sequentially, use `&&` or `;`.\n* Persistent session: Environment variables, virtual environments, and\n  working directory changes persist across commands.\n* Soft timeout: Commands pause for confirmation after 10 seconds without\n  new output unless you provide a longer `timeout`.\n* Shell options: Do NOT use `set -e`, `set -eu`, or `set -euo pipefail`.\n  The runtime may not support them reliably.\n\n### Long-running Commands\n* For commands that may run indefinitely, run them in the background and\n  redirect output to a file, e.g. `python3 app.py > server.log 2>&1 &`.\n* For long-running commands, set the `timeout` parameter accordingly.\n* If a command returns exit code `-1`, it hit the soft timeout and is\n  still running. With `is_input=true`, you can:\n  - Send empty `command` to retrieve additional logs\n  - Send text to STDIN of the running process\n  - Send control commands like `C-c`, `C-d`, or `C-z`\n  - Send navigation keys like `UP`, `DOWN`, `LEFT`, `RIGHT`, `TAB`,\n    `ESC`, `BS`, `HOME`, `END`, `PGUP`, and `PGDN`\n  - Send any `C-<letter>` Ctrl sequence such as `C-a`, `C-e`, or `C-l`\n\n### Best Practices\n* Verify a parent directory exists before creating files or directories.\n* Prefer absolute paths and avoid excessive use of `cd`.\n\n### Output Handling\n* Large output may be truncated before being returned.\n\n### Terminal Reset\n* Set `reset=true` to create a fresh terminal session if the current one\n  becomes unresponsive.\n* Resetting the terminal clears environment variables, working directory\n  changes, and running processes.",
      "action_type": "TerminalAction",
      "observation_type": "TerminalObservation",
      "annotations": {
        "title": "terminal",
        "readOnlyHint": false,
        "destructiveHint": true,
        "idempotentHint": false,
        "openWorldHint": true
      },
      "kind": "TerminalTool",
      "title": "terminal"
    },
    {
      "description": "Custom editing tool for viewing, creating and editing files in plain-text format\n* State is persistent across command calls and discussions with the user\n* If `path` is a text file, `view` displays the result of applying `cat -n`. If `path` is a directory, `view` lists non-hidden files and directories up to 2 levels deep\n* The `create` command cannot be used if the specified `path` already exists as a file\n* If a `command` generates a long output, it will be truncated and marked with `<response clipped>`\n* The `undo_edit` command will revert the last edit made to the file at `path`\n* This tool can be used for creating and editing files in plain-text format.\n\n\nBefore using this tool:\n1. Use the view tool to understand the file's contents and context\n2. Verify the directory path is correct (only applicable when creating new files):\n   - Use the view tool to verify the parent directory exists and is the correct location\n\nWhen making edits:\n   - Ensure the edit results in idiomatic, correct code\n   - Do not leave the code in a broken state\n   - Always use absolute file paths (starting with /)\n\nCRITICAL REQUIREMENTS FOR USING THIS TOOL:\n\n1. EXACT MATCHING: The `old_str` parameter must match EXACTLY one or more consecutive lines from the file, including all whitespace and indentation. The tool will fail if `old_str` matches multiple locations or doesn't match exactly with the file content.\n\n2. UNIQUENESS: The `old_str` must uniquely identify a single instance in the file:\n   - Include sufficient context before and after the change point (3-5 lines recommended)\n   - If not unique, the replacement will not be performed\n\n3. REPLACEMENT: The `new_str` parameter should contain the edited lines that replace the `old_str`. Both strings must be different.\n\nRemember: when making multiple file edits in a row to the same file, you should prefer to send all edits in a single message with multiple calls to this tool, rather than multiple messages with a single call each.\n\n\nYour current working directory is: /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean\nWhen exploring project structure, start with this directory instead of the root filesystem.",
      "action_type": "FileEditorAction",
      "observation_type": "FileEditorObservation",
      "annotations": {
        "title": "file_editor",
        "readOnlyHint": false,
        "destructiveHint": true,
        "idempotentHint": false,
        "openWorldHint": false
      },
      "kind": "FileEditorTool",
      "title": "file_editor"
    },
    {
      "description": "Launch a subagent to handle complex, multi-step tasks autonomously.\n\nSubagents are autonomous agents that work independently and return results to you. They are your primary tool for understanding codebases and running\ntests, but each delegation has overhead — use them when the task genuinely benefits from a separate agent, not for simple lookups.\n\nAvailable agent types and the tools they have access to:\n- **bash-runner**: USE THIS to execute shell commands and get a concise report of the results. Runs tests, builds, linters, git operations, system inspection, dependency installation, or any other CLI task. Returns only what matters: pass/fail counts, specific failures with reasons, and actionable errors — never raw output. (tools: terminal)\n- **code-explorer**: USE THIS when you need to understand unfamiliar code before making changes. Returns a structured summary with file paths, line numbers, and code snippets. (tools: terminal)\n- **workshop-validator**: Independent read-only concurrency validator (tools: terminal, file_editor)\n\nWhen NOT to use the task tool:\n- A single grep, find, or cat command would answer your question — just run it yourself\n- You are making a file edit (use file_editor directly)\n- You already have the context needed\n\nWhen using the task tool:\n- Write a detailed prompt describing exactly what you need\n- Include specific file paths, class names, or error messages from the issue\n- Tell the agent what to report back (file paths, line numbers, code snippets)\n- The agent's results are authoritative — verify subagent results only when the task involves judgment or\n  interpretation.\n  \n\nExample — Multi-step exploration (good use of code-explorer):\n    subagent_type=\"code-explorer\"\n    prompt=\"Trace how the DateFormat.y() method is called through Django's\n    template system. Find: (1) the method definition, (2) where it's\n    registered as a format character, (3) all test cases. Include code\n    snippets and file paths.\"\n\n\nExample — Running tests (good use of bash-runner):\n    subagent_type=\"bash-runner\"\n    prompt=\"Run: cd /workspace/django && python tests/runtests.py\n    utils_tests.test_dateformat -v 2. Provide a summary including\n    the total tests run, the final status, and a list of any\n    failing test names. For each failure, include the specific\n    cause or assertion error, but do not include the full stack\n    trace or the verbose setup/teardown output.\"\n\n",
      "action_type": "TaskAction",
      "observation_type": "TaskObservation",
      "annotations": {
        "title": "task",
        "readOnlyHint": false,
        "destructiveHint": true,
        "idempotentHint": false,
        "openWorldHint": true
      },
      "kind": "TaskTool",
      "title": "task"
    },
    {
      "description": "Signals the completion of the current task or conversation.\n\nUse this tool when:\n- You have successfully completed the user's requested task\n- You cannot proceed further due to technical limitations or missing information\n\nThe message should include:\n- A clear summary of actions taken and their results\n- Any next steps for the user\n- Explanation if you're unable to complete the task\n- Any follow-up questions if more information is needed\n",
      "action_type": "FinishAction",
      "observation_type": "FinishObservation",
      "annotations": {
        "title": "finish",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      },
      "kind": "FinishTool",
      "title": "finish"
    },
    {
      "description": "Use the tool to think about something. It will not obtain new information or make any changes to the repository, but just log the thought. Use it when complex reasoning or brainstorming is needed.\n\nCommon use cases:\n1. When exploring a repository and discovering the source of a bug, call this tool to brainstorm several unique ways of fixing the bug, and assess which change(s) are likely to be simplest and most effective.\n2. After receiving test results, use this tool to brainstorm ways to fix failing tests.\n3. When planning a complex refactoring, use this tool to outline different approaches and their tradeoffs.\n4. When designing a new feature, use this tool to think through architecture decisions and implementation details.\n5. When debugging a complex issue, use this tool to organize your thoughts and hypotheses.\n\nThe tool simply logs your thought process for better transparency and does not execute any code or make changes.",
      "action_type": "ThinkAction",
      "observation_type": "ThinkObservation",
      "annotations": {
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      },
      "kind": "ThinkTool",
      "title": "think"
    },
    {
      "description": "Invoke a skill by name.\n\nThis is the only supported way to invoke a skill listed in\n`<available_skills>`. Call it with the `<name>` shown in that block; the\nskill's full content is rendered (including any dynamic context) and\nreturned as the tool result.\n",
      "action_type": "InvokeSkillAction",
      "observation_type": "InvokeSkillObservation",
      "annotations": {
        "title": "invoke_skill",
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": false
      },
      "kind": "InvokeSkillTool",
      "title": "invoke_skill"
    },
    {
      "description": "Ask a saved vision-capable LLM profile to inspect an image from the latest user message and return a text answer.\n\nUse this when the current model cannot understand images, the latest user message includes an image, and visual details are needed to answer. The current model should pass the image_index shown in the user message and a specific question for the vision model. The cost of this vision model call is tracked in the same conversation stats.\n\nAvailable vision-capable profiles:\n- Claude-Opus-5.5\n- Cliff-Flash-Test\n- GPT5-6\n- KimiK3\n- OH-Opus-5\n- OH-Sonnet\n- Sonnnet\n- Workshop-DeepSeek\n- claude-fable-5\n- claude-opus-4-6\n- claude-opus-4-7\n- claude-opus-4-8\n- claude-sonnet-4-5\n- claude-sonnet-4-6\n- deepseek-v4-flash\n- gpt-5.4\n- gpt-5.5\n- gpt-5.6\n- gpt-5.6-sol\n- p02-cheap\n- p02-cheap-copy\n- p02-frontier\n- p02-mid",
      "action_type": "VisionInspectAction",
      "observation_type": "VisionInspectObservation",
      "annotations": {
        "readOnlyHint": true,
        "destructiveHint": false,
        "idempotentHint": true,
        "openWorldHint": true
      },
      "kind": "VisionInspectTool",
      "title": "inspect_image_with_vision"
    }
  ],
  "dynamic_context": {
    "cache_prompt": false,
    "type": "text",
    "text": "[REDACTED: ambient system/context, private source hash retained by instructor]"
  },
  "kind": "SystemPromptEvent"
}

You

Debug the async race in toyapp/async_jobs.py. Fifty concurrent jobs must reliably produce 50. Simulated async work must remain concurrent rather than being serialized behind one long lock.

Do not modify tests. Work only inside the current repository. Before finishing, run /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q, inspect the final git status and diff, and report files changed, checks run, and remaining uncertainty. Do not install dependencies or make git commits.

First repair and check the task yourself. Then invoke your harness's native task/delegation tool exactly once for a fresh independent validator of the current result. Do not delegate implementation. If no native delegation tool is available, report that limitation and stop this comparison lane.
The validator must inspect and test only. Pass these requirements explicitly to it: do not edit source or tests, create output files, revert source, or redirect shell output. Run Python with PYTHONDONTWRITEBYTECODE=1 and pytest -p no:cacheprovider. Use subprocess.run with capture_output=True for repeated checks and print results. Return at most 250 words containing commands/results, uncertainty, and PASS/REJECT. Count words before returning.
Do not modify files while the validator runs. After its return, address rejected requirements and report initial and final verdicts. The parent owns the final synthesis.
Full event evidence
{
  "id": "abd45342-6927-4fc0-abf0-80155330f91d",
  "timestamp": "2026-10-17T17:32:11.510023",
  "source": "user",
  "parent_id": "5e2ae089-cde7-4326-bf4a-425313a48c4d",
  "llm_message": {
    "role": "user",
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "Debug the async race in toyapp/async_jobs.py. Fifty concurrent jobs must reliably produce 50. Simulated async work must remain concurrent rather than being serialized behind one long lock.\n\nDo not modify tests. Work only inside the current repository. Before finishing, run /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q, inspect the final git status and diff, and report files changed, checks run, and remaining uncertainty. Do not install dependencies or make git commits.\n\nFirst repair and check the task yourself. Then invoke your harness's native task/delegation tool exactly once for a fresh independent validator of the current result. Do not delegate implementation. If no native delegation tool is available, report that limitation and stop this comparison lane.\nThe validator must inspect and test only. Pass these requirements explicitly to it: do not edit source or tests, create output files, revert source, or redirect shell output. Run Python with PYTHONDONTWRITEBYTECODE=1 and pytest -p no:cacheprovider. Use subprocess.run with capture_output=True for repeated checks and print results. Return at most 250 words containing commands/results, uncertainty, and PASS/REJECT. Count words before returning.\nDo not modify files while the validator runs. After its return, address rejected requirements and report initial and final verdicts. The parent owns the final synthesis.\n"
      }
    ],
    "thinking_blocks": []
  },
  "activated_skills": [],
  "extended_content": [],
  "kind": "MessageEvent"
}
ConversationStateUpdateEvent
{
  "id": "d49cf6ac-01bb-45a5-b7dc-89bf77ceabf9",
  "timestamp": "2026-10-17T17:32:11.512317",
  "source": "environment",
  "parent_id": "abd45342-6927-4fc0-abf0-80155330f91d",
  "key": "last_user_message_id",
  "value": "abd45342-6927-4fc0-abf0-80155330f91d",
  "kind": "ConversationStateUpdateEvent"
}
ConversationStateUpdateEvent
{
  "id": "189d306c-a2fc-4b97-bb39-1eff009cea77",
  "timestamp": "2026-10-17T17:32:11.520315",
  "source": "environment",
  "parent_id": "abd45342-6927-4fc0-abf0-80155330f91d",
  "key": "execution_status",
  "value": "running",
  "kind": "ConversationStateUpdateEvent"
}

Tool request: terminal

{
  "command": "pwd && ls -la",
  "is_input": false,
  "reset": false,
  "kind": "TerminalAction"
}
Full event evidence
{
  "id": "c2180abd-9153-411a-b01b-03be6f3ec760",
  "timestamp": "2026-10-17T17:32:14.269800",
  "source": "agent",
  "parent_id": "abd45342-6927-4fc0-abf0-80155330f91d",
  "thought": [],
  "reasoning_content": null,
  "thinking_blocks": [],
  "action": {
    "command": "pwd && ls -la",
    "is_input": false,
    "reset": false,
    "kind": "TerminalAction"
  },
  "tool_name": "terminal",
  "tool_call_id": "call_8ae4dd0970924668860adbeb",
  "tool_call": {
    "id": "call_8ae4dd0970924668860adbeb",
    "name": "terminal",
    "arguments": "{\"command\": \"pwd && ls -la\", \"summary\": \"Show current directory and contents\", \"security_risk\": \"LOW\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276331-YcNtVLNdAqBdD6xi4SYw",
  "security_risk": "UNKNOWN",
  "summary": "Show current directory and contents",
  "kind": "ActionEvent"
}

Tool request: file_editor

{
  "command": "view",
  "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
  "kind": "FileEditorAction"
}
Full event evidence
{
  "id": "da9bb474-49c3-49f3-9987-fa0adfa1ab22",
  "timestamp": "2026-10-17T17:32:14.273729",
  "source": "agent",
  "parent_id": "c2180abd-9153-411a-b01b-03be6f3ec760",
  "thought": [],
  "thinking_blocks": [],
  "action": {
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
    "kind": "FileEditorAction"
  },
  "tool_name": "file_editor",
  "tool_call_id": "call_54184ee838294ea9a6d811f8",
  "tool_call": {
    "id": "call_54184ee838294ea9a6d811f8",
    "name": "file_editor",
    "arguments": "{\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276331-YcNtVLNdAqBdD6xi4SYw",
  "security_risk": "UNKNOWN",
  "summary": "file_editor: {\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean\"}",
  "kind": "ActionEvent"
}

Tool result: terminal

/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean
total 16
drwxr-xr-x@  7 instructor  staff  224 Oct 17 17:32 .
drwxr-xr-x@ 13 instructor  staff  416 Oct 17 17:32 ..
drwxr-xr-x@ 12 instructor  staff  384 Oct 17 17:32 .git
-rw-r--r--@  1 instructor  staff   41 Oct 17 17:32 .gitignore
-rw-r--r--@  1 instructor  staff  195 Oct 17 14:50 README.md
drwxr-xr-x@  3 instructor  staff   96 Oct 17 14:50 tests
drwxr-xr-x@  4 instructor  staff  128 Oct 17 14:50 toyapp
Full event evidence
{
  "id": "ee6b6f58-c9ab-41e8-802b-6989a810dfa3",
  "timestamp": "2026-10-17T17:32:15.426441",
  "source": "environment",
  "parent_id": "da9bb474-49c3-49f3-9987-fa0adfa1ab22",
  "tool_name": "terminal",
  "tool_call_id": "call_8ae4dd0970924668860adbeb",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean\ntotal 16\ndrwxr-xr-x@  7 instructor  staff  224 Oct 17 17:32 .\ndrwxr-xr-x@ 13 instructor  staff  416 Oct 17 17:32 ..\ndrwxr-xr-x@ 12 instructor  staff  384 Oct 17 17:32 .git\n-rw-r--r--@  1 instructor  staff   41 Oct 17 17:32 .gitignore\n-rw-r--r--@  1 instructor  staff  195 Oct 17 14:50 README.md\ndrwxr-xr-x@  3 instructor  staff   96 Oct 17 14:50 tests\ndrwxr-xr-x@  4 instructor  staff  128 Oct 17 14:50 toyapp"
      }
    ],
    "is_error": false,
    "command": "pwd && ls -la",
    "exit_code": 0,
    "timeout": false,
    "metadata": {
      "exit_code": 0,
      "pid": -1,
      "username": "instructor",
      "hostname": "workshop-host",
      "working_dir": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
      "py_interpreter_path": "/Users/instructor/.cache/uv/archive-v0/cZpGatmgSZEYIeuAv16p4/bin/python",
      "prefix": "",
      "suffix": "\n[The command completed with exit code 0.]"
    },
    "full_output_save_dir": "/Users/instructor/.openhands/agent-canvas/dev_conversations/886eb75f5a3c4d2db7bd9abd8177dd3c/observations",
    "kind": "TerminalObservation"
  },
  "action_id": "c2180abd-9153-411a-b01b-03be6f3ec760",
  "extended_content": [],
  "kind": "ObservationEvent"
}

Tool result: file_editor

Here's the files and directories up to 2 levels deep in /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean, excluding hidden items:
/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/
/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md
/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/
/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py
/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/
/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/__init__.py
/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py

2 hidden files/directories in this directory are excluded. You can use 'ls -la /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean' to see them.
Full event evidence
{
  "id": "1d89dd11-b2af-4c65-9d77-b212df40e127",
  "timestamp": "2026-10-17T17:32:15.428025",
  "source": "environment",
  "parent_id": "ee6b6f58-c9ab-41e8-802b-6989a810dfa3",
  "tool_name": "file_editor",
  "tool_call_id": "call_54184ee838294ea9a6d811f8",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "Here's the files and directories up to 2 levels deep in /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean, excluding hidden items:\n/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/\n/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md\n/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/\n/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py\n/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/\n/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/__init__.py\n/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py\n\n2 hidden files/directories in this directory are excluded. You can use 'ls -la /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean' to see them."
      }
    ],
    "is_error": false,
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
    "prev_exist": true,
    "kind": "FileEditorObservation"
  },
  "action_id": "da9bb474-49c3-49f3-9987-fa0adfa1ab22",
  "extended_content": [],
  "kind": "ObservationEvent"
}
ConversationStateUpdateEvent
{
  "id": "abf94589-4312-446d-9a4d-ef0b7e080c14",
  "timestamp": "2026-10-17T17:32:14.268875",
  "source": "environment",
  "parent_id": "1d89dd11-b2af-4c65-9d77-b212df40e127",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0021249,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 19482,
          "completion_tokens": 239,
          "cache_read_tokens": 6400,
          "cache_write_tokens": 0,
          "reasoning_tokens": 84,
          "context_window": 1000000,
          "per_turn_token": 19721,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}

Tool request: file_editor

{
  "command": "view",
  "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py",
  "kind": "FileEditorAction"
}
Full event evidence
{
  "id": "ec6096ee-1832-4bc8-af38-ea74e94c8191",
  "timestamp": "2026-10-17T17:32:17.129749",
  "source": "agent",
  "parent_id": "1d89dd11-b2af-4c65-9d77-b212df40e127",
  "thought": [],
  "reasoning_content": null,
  "thinking_blocks": [],
  "action": {
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py",
    "kind": "FileEditorAction"
  },
  "tool_name": "file_editor",
  "tool_call_id": "call_5d65b65f0d2047ae8bb517b8",
  "tool_call": {
    "id": "call_5d65b65f0d2047ae8bb517b8",
    "name": "file_editor",
    "arguments": "{\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276335-mqWMTiCBVs9JuQsfovao",
  "security_risk": "UNKNOWN",
  "summary": "file_editor: {\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py\"}",
  "kind": "ActionEvent"
}

Tool request: file_editor

{
  "command": "view",
  "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py",
  "kind": "FileEditorAction"
}
Full event evidence
{
  "id": "73be2ae5-2740-4a08-b7b3-aa23c1ae565a",
  "timestamp": "2026-10-17T17:32:17.134088",
  "source": "agent",
  "parent_id": "ec6096ee-1832-4bc8-af38-ea74e94c8191",
  "thought": [],
  "thinking_blocks": [],
  "action": {
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py",
    "kind": "FileEditorAction"
  },
  "tool_name": "file_editor",
  "tool_call_id": "call_4367a95d7c664e56842c5abc",
  "tool_call": {
    "id": "call_4367a95d7c664e56842c5abc",
    "name": "file_editor",
    "arguments": "{\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276335-mqWMTiCBVs9JuQsfovao",
  "security_risk": "UNKNOWN",
  "summary": "file_editor: {\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py\"}",
  "kind": "ActionEvent"
}

Tool request: file_editor

{
  "command": "view",
  "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md",
  "kind": "FileEditorAction"
}
Full event evidence
{
  "id": "c4f05ef3-eaf1-4cda-96e0-ad4b3a8208e1",
  "timestamp": "2026-10-17T17:32:17.136802",
  "source": "agent",
  "parent_id": "73be2ae5-2740-4a08-b7b3-aa23c1ae565a",
  "thought": [],
  "thinking_blocks": [],
  "action": {
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md",
    "kind": "FileEditorAction"
  },
  "tool_name": "file_editor",
  "tool_call_id": "call_c83480d7d80d424cb5fd2dbf",
  "tool_call": {
    "id": "call_c83480d7d80d424cb5fd2dbf",
    "name": "file_editor",
    "arguments": "{\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276335-mqWMTiCBVs9JuQsfovao",
  "security_risk": "UNKNOWN",
  "summary": "file_editor: {\"command\": \"view\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md\"}",
  "kind": "ActionEvent"
}

Tool result: file_editor

Here's the result of running `cat -n` on /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py:
     1	from __future__ import annotations
     2	
     3	import asyncio
     4	
     5	WORK_DELAY_SECONDS = 0.005
     6	
     7	
     8	class AsyncCounter:
     9	    def __init__(self) -> None:
    10	        self.value = 0
    11	
    12	    async def increment(self) -> None:
    13	        await asyncio.sleep(WORK_DELAY_SECONDS)
    14	        current = self.value
    15	        await asyncio.sleep(0)
    16	        self.value = current + 1
    17	
    18	
    19	async def run_batch(size: int) -> int:
    20	    counter = AsyncCounter()
    21	    await asyncio.gather(*(counter.increment() for _ in range(size)))
    22	    return counter.value
    23	
    24	
    25	def run_batch_sync(size: int) -> int:
    26	    return asyncio.run(run_batch(size))
    27
Full event evidence
{
  "id": "a589a11d-1ed9-48d9-851a-206d1aea374d",
  "timestamp": "2026-10-17T17:32:17.145088",
  "source": "environment",
  "parent_id": "c4f05ef3-eaf1-4cda-96e0-ad4b3a8208e1",
  "tool_name": "file_editor",
  "tool_call_id": "call_5d65b65f0d2047ae8bb517b8",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "Here's the result of running `cat -n` on /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py:\n     1\tfrom __future__ import annotations\n     2\t\n     3\timport asyncio\n     4\t\n     5\tWORK_DELAY_SECONDS = 0.005\n     6\t\n     7\t\n     8\tclass AsyncCounter:\n     9\t    def __init__(self) -> None:\n    10\t        self.value = 0\n    11\t\n    12\t    async def increment(self) -> None:\n    13\t        await asyncio.sleep(WORK_DELAY_SECONDS)\n    14\t        current = self.value\n    15\t        await asyncio.sleep(0)\n    16\t        self.value = current + 1\n    17\t\n    18\t\n    19\tasync def run_batch(size: int) -> int:\n    20\t    counter = AsyncCounter()\n    21\t    await asyncio.gather(*(counter.increment() for _ in range(size)))\n    22\t    return counter.value\n    23\t\n    24\t\n    25\tdef run_batch_sync(size: int) -> int:\n    26\t    return asyncio.run(run_batch(size))\n    27\t\n"
      }
    ],
    "is_error": false,
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py",
    "prev_exist": true,
    "kind": "FileEditorObservation"
  },
  "action_id": "ec6096ee-1832-4bc8-af38-ea74e94c8191",
  "extended_content": [],
  "kind": "ObservationEvent"
}

Tool result: file_editor

Here's the result of running `cat -n` on /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py:
     1	import asyncio
     2	import time
     3	
     4	from toyapp.async_jobs import run_batch
     5	
     6	
     7	async def _run_batch_with_elapsed(size: int) -> tuple[int, float]:
     8	    started = time.perf_counter()
     9	    result = await run_batch(size)
    10	    return result, time.perf_counter() - started
    11	
    12	
    13	def test_run_batch_counts_every_increment() -> None:
    14	    assert asyncio.run(run_batch(50)) == 50
    15	
    16	
    17	def test_run_batch_keeps_work_concurrent() -> None:
    18	    result, elapsed = asyncio.run(_run_batch_with_elapsed(30))
    19	    assert result == 30
    20	    assert elapsed < 0.08
    21
Full event evidence
{
  "id": "acdf76ea-8e55-4ddf-b8c8-4c80b7ff2042",
  "timestamp": "2026-10-17T17:32:17.147215",
  "source": "environment",
  "parent_id": "a589a11d-1ed9-48d9-851a-206d1aea374d",
  "tool_name": "file_editor",
  "tool_call_id": "call_4367a95d7c664e56842c5abc",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "Here's the result of running `cat -n` on /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py:\n     1\timport asyncio\n     2\timport time\n     3\t\n     4\tfrom toyapp.async_jobs import run_batch\n     5\t\n     6\t\n     7\tasync def _run_batch_with_elapsed(size: int) -> tuple[int, float]:\n     8\t    started = time.perf_counter()\n     9\t    result = await run_batch(size)\n    10\t    return result, time.perf_counter() - started\n    11\t\n    12\t\n    13\tdef test_run_batch_counts_every_increment() -> None:\n    14\t    assert asyncio.run(run_batch(50)) == 50\n    15\t\n    16\t\n    17\tdef test_run_batch_keeps_work_concurrent() -> None:\n    18\t    result, elapsed = asyncio.run(_run_batch_with_elapsed(30))\n    19\t    assert result == 30\n    20\t    assert elapsed < 0.08\n    21\t\n"
      }
    ],
    "is_error": false,
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/tests/test_async_jobs.py",
    "prev_exist": true,
    "kind": "FileEditorObservation"
  },
  "action_id": "73be2ae5-2740-4a08-b7b3-aa23c1ae565a",
  "extended_content": [],
  "kind": "ObservationEvent"
}

Tool result: file_editor

Here's the result of running `cat -n` on /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md:
     1	# Workshop async fixture
     2	
     3	This small package contains one intentional defect. Inspect the source and tests.
     4	Run `python -m pytest -q` from this directory using the prepared workshop interpreter.
     5
Full event evidence
{
  "id": "358a22e3-bf7f-42e8-b034-c7cc371c48f9",
  "timestamp": "2026-10-17T17:32:17.149583",
  "source": "environment",
  "parent_id": "acdf76ea-8e55-4ddf-b8c8-4c80b7ff2042",
  "tool_name": "file_editor",
  "tool_call_id": "call_c83480d7d80d424cb5fd2dbf",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "Here's the result of running `cat -n` on /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md:\n     1\t# Workshop async fixture\n     2\t\n     3\tThis small package contains one intentional defect. Inspect the source and tests.\n     4\tRun `python -m pytest -q` from this directory using the prepared workshop interpreter.\n     5\t\n"
      }
    ],
    "is_error": false,
    "command": "view",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/README.md",
    "prev_exist": true,
    "kind": "FileEditorObservation"
  },
  "action_id": "c4f05ef3-eaf1-4cda-96e0-ad4b3a8208e1",
  "extended_content": [],
  "kind": "ObservationEvent"
}
ConversationStateUpdateEvent
{
  "id": "201812d1-6510-48c4-9f71-e93554417c23",
  "timestamp": "2026-10-17T17:32:17.128428",
  "source": "environment",
  "parent_id": "358a22e3-bf7f-42e8-b034-c7cc371c48f9",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.00254565,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 39903,
          "completion_tokens": 539,
          "cache_read_tokens": 25600,
          "cache_write_tokens": 0,
          "reasoning_tokens": 100,
          "context_window": 1000000,
          "per_turn_token": 20721,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}

Tool request: file_editor

{
  "command": "str_replace",
  "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py",
  "old_str": "async def increment(self) -> None:\n        await asyncio.sleep(WORK_DELAY_SECONDS)\n        current = self.value\n        await asyncio.sleep(0)\n        self.value = current + 1",
  "new_str": "async def increment(self) -> None:\n        await asyncio.sleep(WORK_DELAY_SECONDS)\n        self.value += 1",
  "kind": "FileEditorAction"
}
Full event evidence
{
  "id": "e880481b-08a1-4798-95b1-b23421c47038",
  "timestamp": "2026-10-17T17:32:25.303402",
  "source": "agent",
  "parent_id": "358a22e3-bf7f-42e8-b034-c7cc371c48f9",
  "thought": [],
  "reasoning_content": null,
  "thinking_blocks": [],
  "action": {
    "command": "str_replace",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py",
    "old_str": "async def increment(self) -> None:\n        await asyncio.sleep(WORK_DELAY_SECONDS)\n        current = self.value\n        await asyncio.sleep(0)\n        self.value = current + 1",
    "new_str": "async def increment(self) -> None:\n        await asyncio.sleep(WORK_DELAY_SECONDS)\n        self.value += 1",
    "kind": "FileEditorAction"
  },
  "tool_name": "file_editor",
  "tool_call_id": "call_1baf392d369643d9aa648ce3",
  "tool_call": {
    "id": "call_1baf392d369643d9aa648ce3",
    "name": "file_editor",
    "arguments": "{\"command\": \"str_replace\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py\", \"old_str\": \"async def increment(self) -> None:\\n        await asyncio.sleep(WORK_DELAY_SECONDS)\\n        current = self.value\\n        await asyncio.sleep(0)\\n        self.value = current + 1\", \"new_str\": \"async def increment(self) -> None:\\n        await asyncio.sleep(WORK_DELAY_SECONDS)\\n        self.value += 1\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276337-o2bOdjgS8C6dWQ1Efx8V",
  "security_risk": "UNKNOWN",
  "summary": "file_editor: {\"command\": \"str_replace\", \"path\": \"/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py\", \"old_str\": \"async def increment(self) -> None:\\n        await asyncio.sleep(WORK_DELAY_SECONDS)\\n        current = self.value\\n        await asyncio.sleep(0)\\n        self.value = current + 1\", \"new_str\": \"async def increment(self) -> None:\\n        await asyncio.sleep(WORK_DELAY_SECONDS)\\n        self.value += 1\"}",
  "kind": "ActionEvent"
}

Tool result: file_editor

The file /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py has been edited. Here's the result of running `cat -n` on a snippet of /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py:
     9	    def __init__(self) -> None:
    10	        self.value = 0
    11	
    12	    async def increment(self) -> None:
    13	        await asyncio.sleep(WORK_DELAY_SECONDS)
    14	        self.value += 1
    15	
    16	
    17	async def run_batch(size: int) -> int:
    18	    counter = AsyncCounter()
    19	
Review the changes and make sure they are as expected. Edit the file again if necessary.
Full event evidence
{
  "id": "9b1cb716-bac0-4dae-8799-2477469cc982",
  "timestamp": "2026-10-17T17:32:25.311633",
  "source": "environment",
  "parent_id": "e880481b-08a1-4798-95b1-b23421c47038",
  "tool_name": "file_editor",
  "tool_call_id": "call_1baf392d369643d9aa648ce3",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "The file /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py has been edited. Here's the result of running `cat -n` on a snippet of /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py:\n     9\t    def __init__(self) -> None:\n    10\t        self.value = 0\n    11\t\n    12\t    async def increment(self) -> None:\n    13\t        await asyncio.sleep(WORK_DELAY_SECONDS)\n    14\t        self.value += 1\n    15\t\n    16\t\n    17\tasync def run_batch(size: int) -> int:\n    18\t    counter = AsyncCounter()\n    19\t\nReview the changes and make sure they are as expected. Edit the file again if necessary."
      }
    ],
    "is_error": false,
    "command": "str_replace",
    "path": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean/toyapp/async_jobs.py",
    "prev_exist": true,
    "old_content": "from __future__ import annotations\n\nimport asyncio\n\nWORK_DELAY_SECONDS = 0.005\n\n\nclass AsyncCounter:\n    def __init__(self) -> None:\n        self.value = 0\n\n    async def increment(self) -> None:\n        await asyncio.sleep(WORK_DELAY_SECONDS)\n        current = self.value\n        await asyncio.sleep(0)\n        self.value = current + 1\n\n\nasync def run_batch(size: int) -> int:\n    counter = AsyncCounter()\n    await asyncio.gather(*(counter.increment() for _ in range(size)))\n    return counter.value\n\n\ndef run_batch_sync(size: int) -> int:\n    return asyncio.run(run_batch(size))\n",
    "new_content": "from __future__ import annotations\n\nimport asyncio\n\nWORK_DELAY_SECONDS = 0.005\n\n\nclass AsyncCounter:\n    def __init__(self) -> None:\n        self.value = 0\n\n    async def increment(self) -> None:\n        await asyncio.sleep(WORK_DELAY_SECONDS)\n        self.value += 1\n\n\nasync def run_batch(size: int) -> int:\n    counter = AsyncCounter()\n    await asyncio.gather(*(counter.increment() for _ in range(size)))\n    return counter.value\n\n\ndef run_batch_sync(size: int) -> int:\n    return asyncio.run(run_batch(size))\n",
    "kind": "FileEditorObservation"
  },
  "action_id": "e880481b-08a1-4798-95b1-b23421c47038",
  "extended_content": [],
  "kind": "ObservationEvent"
}
ConversationStateUpdateEvent
{
  "id": "790aee01-b365-427a-9eef-80746712786a",
  "timestamp": "2026-10-17T17:32:25.302659",
  "source": "environment",
  "parent_id": "9b1cb716-bac0-4dae-8799-2477469cc982",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.003489672,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 61296,
          "completion_tokens": 1719,
          "cache_read_tokens": 45824,
          "cache_write_tokens": 0,
          "reasoning_tokens": 1040,
          "context_window": 1000000,
          "per_turn_token": 22573,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}

Tool request: terminal

{
  "command": "/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q",
  "is_input": false,
  "reset": false,
  "kind": "TerminalAction"
}
Full event evidence
{
  "id": "08c6f423-80c5-48d5-a9fc-cbc9b051e0ea",
  "timestamp": "2026-10-17T17:32:26.953449",
  "source": "agent",
  "parent_id": "9b1cb716-bac0-4dae-8799-2477469cc982",
  "thought": [],
  "reasoning_content": null,
  "thinking_blocks": [],
  "action": {
    "command": "/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q",
    "is_input": false,
    "reset": false,
    "kind": "TerminalAction"
  },
  "tool_name": "terminal",
  "tool_call_id": "call_49c28412c378459f8c363b88",
  "tool_call": {
    "id": "call_49c28412c378459f8c363b88",
    "name": "terminal",
    "arguments": "{\"command\": \"/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q\", \"summary\": \"Run pytest test suite\", \"security_risk\": \"MEDIUM\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276345-vjn0eMUFzqHKmHpq3Kq7",
  "security_risk": "UNKNOWN",
  "summary": "Run pytest test suite",
  "kind": "ActionEvent"
}

Tool result: terminal

..                                                                                                                                                                                                                                                       [100%]
2 passed in 0.02s
Full event evidence
{
  "id": "9d0ca645-91d2-4760-b5ad-e4ed1ba6c300",
  "timestamp": "2026-10-17T17:32:27.756299",
  "source": "environment",
  "parent_id": "08c6f423-80c5-48d5-a9fc-cbc9b051e0ea",
  "tool_name": "terminal",
  "tool_call_id": "call_49c28412c378459f8c363b88",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "..                                                                                                                                                                                                                                                       [100%]\n2 passed in 0.02s"
      }
    ],
    "is_error": false,
    "command": "/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q",
    "exit_code": 0,
    "timeout": false,
    "metadata": {
      "exit_code": 0,
      "pid": -1,
      "username": "instructor",
      "hostname": "workshop-host",
      "working_dir": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
      "py_interpreter_path": "/Users/instructor/.cache/uv/archive-v0/cZpGatmgSZEYIeuAv16p4/bin/python",
      "prefix": "",
      "suffix": "\n[The command completed with exit code 0.]"
    },
    "full_output_save_dir": "/Users/instructor/.openhands/agent-canvas/dev_conversations/886eb75f5a3c4d2db7bd9abd8177dd3c/observations",
    "kind": "TerminalObservation"
  },
  "action_id": "08c6f423-80c5-48d5-a9fc-cbc9b051e0ea",
  "extended_content": [],
  "kind": "ObservationEvent"
}
ConversationStateUpdateEvent
{
  "id": "96f2be02-506b-4ec2-9095-019fc97ba940",
  "timestamp": "2026-10-17T17:32:26.952382",
  "source": "environment",
  "parent_id": "9d0ca645-91d2-4760-b5ad-e4ed1ba6c300",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.003776016,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 83212,
          "completion_tokens": 1923,
          "cache_read_tokens": 67072,
          "cache_write_tokens": 0,
          "reasoning_tokens": 1129,
          "context_window": 1000000,
          "per_turn_token": 22120,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}

Tool request: terminal

{
  "command": "/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \"---RUN2---\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \"---RUN3---\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1",
  "is_input": false,
  "reset": false,
  "kind": "TerminalAction"
}
Full event evidence
{
  "id": "8b269cbd-4365-4d6c-bfd4-4a37cbd1733b",
  "timestamp": "2026-10-17T17:32:29.846554",
  "source": "agent",
  "parent_id": "9d0ca645-91d2-4760-b5ad-e4ed1ba6c300",
  "thought": [],
  "reasoning_content": null,
  "thinking_blocks": [],
  "action": {
    "command": "/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \"---RUN2---\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \"---RUN3---\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1",
    "is_input": false,
    "reset": false,
    "kind": "TerminalAction"
  },
  "tool_name": "terminal",
  "tool_call_id": "call_1c7c3cca2ff14deb9cf80224",
  "tool_call": {
    "id": "call_1c7c3cca2ff14deb9cf80224",
    "name": "terminal",
    "arguments": "{\"command\": \"/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \\\"---RUN2---\\\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \\\"---RUN3---\\\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1\", \"summary\": \"Run pytest multiple times for reliability\", \"security_risk\": \"MEDIUM\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276347-2UgejG3KwLi4AqD4xDND",
  "security_risk": "UNKNOWN",
  "summary": "Run pytest multiple times for reliability",
  "kind": "ActionEvent"
}

Tool request: terminal

{
  "command": "git status --short && echo \"---DIFF---\" && git --no-pager diff",
  "is_input": false,
  "reset": false,
  "kind": "TerminalAction"
}
Full event evidence
{
  "id": "3de6e9a6-107f-4954-82d5-3968935bdd80",
  "timestamp": "2026-10-17T17:32:29.850609",
  "source": "agent",
  "parent_id": "8b269cbd-4365-4d6c-bfd4-4a37cbd1733b",
  "thought": [],
  "thinking_blocks": [],
  "action": {
    "command": "git status --short && echo \"---DIFF---\" && git --no-pager diff",
    "is_input": false,
    "reset": false,
    "kind": "TerminalAction"
  },
  "tool_name": "terminal",
  "tool_call_id": "call_f0a5ec5f6c96497f828a1f0f",
  "tool_call": {
    "id": "call_f0a5ec5f6c96497f828a1f0f",
    "name": "terminal",
    "arguments": "{\"command\": \"git status --short && echo \\\"---DIFF---\\\" && git --no-pager diff\", \"summary\": \"Show git status and diff\", \"security_risk\": \"LOW\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276347-2UgejG3KwLi4AqD4xDND",
  "security_risk": "UNKNOWN",
  "summary": "Show git status and diff",
  "kind": "ActionEvent"
}

Tool result: terminal

..                                                                                                                                                                                                                                                       [100%]
2 passed in 0.02s
---RUN2---
..                                                                                                                                                                                                                                                       [100%]
2 passed in 0.02s
---RUN3---
..                                                                                                                                                                                                                                                       [100%]
2 passed in 0.02s
Full event evidence
{
  "id": "60e1f1d8-cbb5-4ab0-af9b-4ff5f71fc860",
  "timestamp": "2026-10-17T17:32:30.585505",
  "source": "environment",
  "parent_id": "3de6e9a6-107f-4954-82d5-3968935bdd80",
  "tool_name": "terminal",
  "tool_call_id": "call_1c7c3cca2ff14deb9cf80224",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "..                                                                                                                                                                                                                                                       [100%]\n2 passed in 0.02s\n---RUN2---\n..                                                                                                                                                                                                                                                       [100%]\n2 passed in 0.02s\n---RUN3---\n..                                                                                                                                                                                                                                                       [100%]\n2 passed in 0.02s"
      }
    ],
    "is_error": false,
    "command": "/Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \"---RUN2---\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && echo \"---RUN3---\" && /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1",
    "exit_code": 0,
    "timeout": false,
    "metadata": {
      "exit_code": 0,
      "pid": -1,
      "username": "instructor",
      "hostname": "workshop-host",
      "working_dir": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
      "py_interpreter_path": "/Users/instructor/.cache/uv/archive-v0/cZpGatmgSZEYIeuAv16p4/bin/python",
      "prefix": "",
      "suffix": "\n[The command completed with exit code 0.]"
    },
    "full_output_save_dir": "/Users/instructor/.openhands/agent-canvas/dev_conversations/886eb75f5a3c4d2db7bd9abd8177dd3c/observations",
    "kind": "TerminalObservation"
  },
  "action_id": "8b269cbd-4365-4d6c-bfd4-4a37cbd1733b",
  "extended_content": [],
  "kind": "ObservationEvent"
}

Tool result: terminal

M toyapp/async_jobs.py
---DIFF---
diff --git a/toyapp/async_jobs.py b/toyapp/async_jobs.py
index 6aebafa..71baacc 100644
--- a/toyapp/async_jobs.py
+++ b/toyapp/async_jobs.py
@@ -11,9 +11,7 @@ class AsyncCounter:

     async def increment(self) -> None:
         await asyncio.sleep(WORK_DELAY_SECONDS)
-        current = self.value
-        await asyncio.sleep(0)
-        self.value = current + 1
+        self.value += 1


 async def run_batch(size: int) -> int:
Full event evidence
{
  "id": "06195af6-b9e1-40b3-8ab0-980f549d4985",
  "timestamp": "2026-10-17T17:32:31.344596",
  "source": "environment",
  "parent_id": "60e1f1d8-cbb5-4ab0-af9b-4ff5f71fc860",
  "tool_name": "terminal",
  "tool_call_id": "call_f0a5ec5f6c96497f828a1f0f",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "M toyapp/async_jobs.py\n---DIFF---\ndiff --git a/toyapp/async_jobs.py b/toyapp/async_jobs.py\nindex 6aebafa..71baacc 100644\n--- a/toyapp/async_jobs.py\n+++ b/toyapp/async_jobs.py\n@@ -11,9 +11,7 @@ class AsyncCounter:\n\n     async def increment(self) -> None:\n         await asyncio.sleep(WORK_DELAY_SECONDS)\n-        current = self.value\n-        await asyncio.sleep(0)\n-        self.value = current + 1\n+        self.value += 1\n\n\n async def run_batch(size: int) -> int:"
      }
    ],
    "is_error": false,
    "command": "git status --short && echo \"---DIFF---\" && git --no-pager diff",
    "exit_code": 0,
    "timeout": false,
    "metadata": {
      "exit_code": 0,
      "pid": -1,
      "username": "instructor",
      "hostname": "workshop-host",
      "working_dir": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
      "py_interpreter_path": "/Users/instructor/.cache/uv/archive-v0/cZpGatmgSZEYIeuAv16p4/bin/python",
      "prefix": "",
      "suffix": "\n[The command completed with exit code 0.]"
    },
    "full_output_save_dir": "/Users/instructor/.openhands/agent-canvas/dev_conversations/886eb75f5a3c4d2db7bd9abd8177dd3c/observations",
    "kind": "TerminalObservation"
  },
  "action_id": "3de6e9a6-107f-4954-82d5-3968935bdd80",
  "extended_content": [],
  "kind": "ObservationEvent"
}
ConversationStateUpdateEvent
{
  "id": "0f2b2aa7-a09e-4dcb-827d-39cfc275838d",
  "timestamp": "2026-10-17T17:32:29.845238",
  "source": "environment",
  "parent_id": "06195af6-b9e1-40b3-8ab0-980f549d4985",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.004113846,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 105373,
          "completion_tokens": 2277,
          "cache_read_tokens": 88832,
          "cache_write_tokens": 0,
          "reasoning_tokens": 1162,
          "context_window": 1000000,
          "per_turn_token": 22515,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}

Tool request: task

{
  "description": "Verify async race fix",
  "prompt": "You are an independent validator (READ-ONLY). Work only inside the repository /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean. Do NOT read or write personal memory, user memory logs, or files outside this repo.\n\nConstraints (must follow strictly):\n- Inspect and test only. Do NOT edit source or tests, do NOT create output files, do NOT revert source, do NOT redirect shell output.\n- Run Python with PYTHONDONTWRITEBYTECODE=1 and pytest with -p no:cacheprovider, e.g.:\n  PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider\n- For repeated checks, use subprocess.run with capture_output=True from a Python script and print the results (do not redirect shell output).\n- Inspect git diff/status with git commands to confirm only toyapp/async_jobs.py is modified and tests are untouched.\n\nContext: toyapp/async_jobs.py had an async race — increment() did `current = self.value; await asyncio.sleep(0); self.value = current + 1`, letting concurrent readers in run_batch(50) lose updates (producing < 50). A fix was applied so the read-modify-write is atomic (no await between read and write) while the simulated work stays concurrent.\n\nRepeat the pytest run at least 5 times (up to ~10 times if desired) to check reliability (50 concurrent jobs must produce 50; simulated work must stay concurrent — the concurrency test asserts 30 jobs finish in < 0.08s).\n\nThen return at most 250 words containing: commands run and their results (pass/fail counts), your judgment on PASS or REJECT, and remaining uncertainty. Count your words before returning and keep it under 250.",
  "subagent_type": "workshop-validator",
  "kind": "TaskAction"
}
Full event evidence
{
  "id": "be931f51-bd51-4554-a07d-d0ca2c13be66",
  "timestamp": "2026-10-17T17:32:37.756149",
  "source": "agent",
  "parent_id": "06195af6-b9e1-40b3-8ab0-980f549d4985",
  "thought": [],
  "reasoning_content": null,
  "thinking_blocks": [],
  "action": {
    "description": "Verify async race fix",
    "prompt": "You are an independent validator (READ-ONLY). Work only inside the repository /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean. Do NOT read or write personal memory, user memory logs, or files outside this repo.\n\nConstraints (must follow strictly):\n- Inspect and test only. Do NOT edit source or tests, do NOT create output files, do NOT revert source, do NOT redirect shell output.\n- Run Python with PYTHONDONTWRITEBYTECODE=1 and pytest with -p no:cacheprovider, e.g.:\n  PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider\n- For repeated checks, use subprocess.run with capture_output=True from a Python script and print the results (do not redirect shell output).\n- Inspect git diff/status with git commands to confirm only toyapp/async_jobs.py is modified and tests are untouched.\n\nContext: toyapp/async_jobs.py had an async race — increment() did `current = self.value; await asyncio.sleep(0); self.value = current + 1`, letting concurrent readers in run_batch(50) lose updates (producing < 50). A fix was applied so the read-modify-write is atomic (no await between read and write) while the simulated work stays concurrent.\n\nRepeat the pytest run at least 5 times (up to ~10 times if desired) to check reliability (50 concurrent jobs must produce 50; simulated work must stay concurrent — the concurrency test asserts 30 jobs finish in < 0.08s).\n\nThen return at most 250 words containing: commands run and their results (pass/fail counts), your judgment on PASS or REJECT, and remaining uncertainty. Count your words before returning and keep it under 250.",
    "subagent_type": "workshop-validator",
    "kind": "TaskAction"
  },
  "tool_name": "task",
  "tool_call_id": "call_02a6b765c84a4d89bf29b258",
  "tool_call": {
    "id": "call_02a6b765c84a4d89bf29b258",
    "name": "task",
    "arguments": "{\"description\": \"Verify async race fix\", \"prompt\": \"You are an independent validator (READ-ONLY). Work only inside the repository /Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean. Do NOT read or write personal memory, user memory logs, or files outside this repo.\\n\\nConstraints (must follow strictly):\\n- Inspect and test only. Do NOT edit source or tests, do NOT create output files, do NOT revert source, do NOT redirect shell output.\\n- Run Python with PYTHONDONTWRITEBYTECODE=1 and pytest with -p no:cacheprovider, e.g.:\\n  PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider\\n- For repeated checks, use subprocess.run with capture_output=True from a Python script and print the results (do not redirect shell output).\\n- Inspect git diff/status with git commands to confirm only toyapp/async_jobs.py is modified and tests are untouched.\\n\\nContext: toyapp/async_jobs.py had an async race \\u2014 increment() did `current = self.value; await asyncio.sleep(0); self.value = current + 1`, letting concurrent readers in run_batch(50) lose updates (producing < 50). A fix was applied so the read-modify-write is atomic (no await between read and write) while the simulated work stays concurrent.\\n\\nRepeat the pytest run at least 5 times (up to ~10 times if desired) to check reliability (50 concurrent jobs must produce 50; simulated work must stay concurrent \\u2014 the concurrency test asserts 30 jobs finish in < 0.08s).\\n\\nThen return at most 250 words containing: commands run and their results (pass/fail counts), your judgment on PASS or REJECT, and remaining uncertainty. Count your words before returning and keep it under 250.\", \"security_risk\": \"LOW\", \"subagent_type\": \"workshop-validator\", \"summary\": \"Independent read-only concurrency validator\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276351-plSz02PZUUhG6OfUz2xU",
  "security_risk": "UNKNOWN",
  "summary": "Independent read-only concurrency validator",
  "kind": "ActionEvent"
}

Tool result: task

**Verdict: PASS**

**Checks performed** (all read-only, nothing edited/created):

1. `git status` / `git diff`: only `toyapp/async_jobs.py` modified (1 insertion, 3 deletions). `tests/` untouched. Diff confirms the exact fix: removed `current = self.value; await asyncio.sleep(0); self.value = current + 1` → now `await asyncio.sleep(WORK_DELAY_SECONDS)` then `self.value += 1` (no await between read-write; simulated work still concurrent).

2. Pytest via subprocess capture, as required: `PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider`, run 8×:

```
run 1: rc=0 :: 2 passed in 0.02s
run 2: rc=0 :: 2 passed in 0.01s
run 3: rc=0 :: 2 passed in 0.02s
run 4: rc=0 :: 2 passed in 0.02s
run 5: rc=0 :: 2 passed in 0.02s
run 6: rc=0 :: 2 passed in 0.02s
run 7: rc=0 :: 2 passed in 0.02s
run 8: rc=0 :: 2 passed in 0.02s
```

All 8 runs passed both tests (`test_run_batch_counts_every_increment`: 50/50; `test_run_batch_keeps_work_concurrent`: 30 jobs < 0.08s), implying the exercise passes as well (2 passed each run, 16/16 total).

3. Post-run `git status --porcelain` → still only `M toyapp/async_jobs.py`; no pycache/output artifacts.

**Uncertainty:** Low. `increment()` is atomic only within a single event-loop thread (monotonic sync `+=`); async-gather interleaving still can't read mid-RMW. Concurrency is preserved since the sleep remains. No remaining concerns.

Final judgment: **PASS.**
Full event evidence
{
  "id": "ee9609e9-40b6-4e79-a07c-bc62bf5197ff",
  "timestamp": "2026-10-17T17:33:15.024094",
  "source": "environment",
  "parent_id": "be931f51-bd51-4554-a07d-d0ca2c13be66",
  "tool_name": "task",
  "tool_call_id": "call_02a6b765c84a4d89bf29b258",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "**Verdict: PASS**\n\n**Checks performed** (all read-only, nothing edited/created):\n\n1. `git status` / `git diff`: only `toyapp/async_jobs.py` modified (1 insertion, 3 deletions). `tests/` untouched. Diff confirms the exact fix: removed `current = self.value; await asyncio.sleep(0); self.value = current + 1` → now `await asyncio.sleep(WORK_DELAY_SECONDS)` then `self.value += 1` (no await between read-write; simulated work still concurrent).\n\n2. Pytest via subprocess capture, as required: `PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider`, run 8×:\n\n```\nrun 1: rc=0 :: 2 passed in 0.02s\nrun 2: rc=0 :: 2 passed in 0.01s\nrun 3: rc=0 :: 2 passed in 0.02s\nrun 4: rc=0 :: 2 passed in 0.02s\nrun 5: rc=0 :: 2 passed in 0.02s\nrun 6: rc=0 :: 2 passed in 0.02s\nrun 7: rc=0 :: 2 passed in 0.02s\nrun 8: rc=0 :: 2 passed in 0.02s\n```\n\nAll 8 runs passed both tests (`test_run_batch_counts_every_increment`: 50/50; `test_run_batch_keeps_work_concurrent`: 30 jobs < 0.08s), implying the exercise passes as well (2 passed each run, 16/16 total).\n\n3. Post-run `git status --porcelain` → still only `M toyapp/async_jobs.py`; no pycache/output artifacts.\n\n**Uncertainty:** Low. `increment()` is atomic only within a single event-loop thread (monotonic sync `+=`); async-gather interleaving still can't read mid-RMW. Concurrency is preserved since the sleep remains. No remaining concerns.\n\nFinal judgment: **PASS.**"
      }
    ],
    "is_error": false,
    "task_id": "task_00000001",
    "subagent": "workshop-validator",
    "status": "completed",
    "kind": "TaskObservation"
  },
  "action_id": "be931f51-bd51-4554-a07d-d0ca2c13be66",
  "extended_content": [],
  "kind": "ObservationEvent"
}
ConversationStateUpdateEvent
{
  "id": "5cfdd65a-09d8-431b-b525-77aecec16bf9",
  "timestamp": "2026-10-17T17:32:37.755265",
  "source": "environment",
  "parent_id": "ee9609e9-40b6-4e79-a07c-bc62bf5197ff",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.004858194,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 128291,
          "completion_tokens": 3182,
          "cache_read_tokens": 110848,
          "cache_write_tokens": 0,
          "reasoning_tokens": 1513,
          "context_window": 1000000,
          "per_turn_token": 23823,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}

Tool request: terminal

{
  "command": "git status --short && echo \"---DIFF---\" && git --no-pager diff && echo \"---FINAL TEST---\" && PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && git status --porcelain",
  "is_input": false,
  "reset": false,
  "kind": "TerminalAction"
}
Full event evidence
{
  "id": "6ec76e4a-5290-4077-86c0-f9b1140eef26",
  "timestamp": "2026-10-17T17:33:17.430410",
  "source": "agent",
  "parent_id": "ee9609e9-40b6-4e79-a07c-bc62bf5197ff",
  "thought": [],
  "reasoning_content": null,
  "thinking_blocks": [],
  "action": {
    "command": "git status --short && echo \"---DIFF---\" && git --no-pager diff && echo \"---FINAL TEST---\" && PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && git status --porcelain",
    "is_input": false,
    "reset": false,
    "kind": "TerminalAction"
  },
  "tool_name": "terminal",
  "tool_call_id": "call_4a8396bb2b0c4eb69646e60e",
  "tool_call": {
    "id": "call_4a8396bb2b0c4eb69646e60e",
    "name": "terminal",
    "arguments": "{\"command\": \"git status --short && echo \\\"---DIFF---\\\" && git --no-pager diff && echo \\\"---FINAL TEST---\\\" && PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && git status --porcelain\", \"summary\": \"Final git status, diff, and test run\", \"security_risk\": \"MEDIUM\"}",
    "origin": "completion"
  },
  "llm_response_id": "gen-1792276395-gl7FuYfBVMgMDRbWl9iE",
  "security_risk": "UNKNOWN",
  "summary": "Final git status, diff, and test run",
  "kind": "ActionEvent"
}

Tool result: terminal

M toyapp/async_jobs.py
---DIFF---
diff --git a/toyapp/async_jobs.py b/toyapp/async_jobs.py
index 6aebafa..71baacc 100644
--- a/toyapp/async_jobs.py
+++ b/toyapp/async_jobs.py
@@ -11,9 +11,7 @@ class AsyncCounter:

     async def increment(self) -> None:
         await asyncio.sleep(WORK_DELAY_SECONDS)
-        current = self.value
-        await asyncio.sleep(0)
-        self.value = current + 1
+        self.value += 1


 async def run_batch(size: int) -> int:
---FINAL TEST---
..                                                                                                                                                                                                                                                       [100%]
2 passed in 0.02s
 M toyapp/async_jobs.py
Full event evidence
{
  "id": "67c2cd4c-0dd8-4973-b843-77a6787251a1",
  "timestamp": "2026-10-17T17:33:18.249655",
  "source": "environment",
  "parent_id": "6ec76e4a-5290-4077-86c0-f9b1140eef26",
  "tool_name": "terminal",
  "tool_call_id": "call_4a8396bb2b0c4eb69646e60e",
  "observation": {
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "M toyapp/async_jobs.py\n---DIFF---\ndiff --git a/toyapp/async_jobs.py b/toyapp/async_jobs.py\nindex 6aebafa..71baacc 100644\n--- a/toyapp/async_jobs.py\n+++ b/toyapp/async_jobs.py\n@@ -11,9 +11,7 @@ class AsyncCounter:\n\n     async def increment(self) -> None:\n         await asyncio.sleep(WORK_DELAY_SECONDS)\n-        current = self.value\n-        await asyncio.sleep(0)\n-        self.value = current + 1\n+        self.value += 1\n\n\n async def run_batch(size: int) -> int:\n---FINAL TEST---\n..                                                                                                                                                                                                                                                       [100%]\n2 passed in 0.02s\n M toyapp/async_jobs.py"
      }
    ],
    "is_error": false,
    "command": "git status --short && echo \"---DIFF---\" && git --no-pager diff && echo \"---FINAL TEST---\" && PYTHONDONTWRITEBYTECODE=1 /Users/instructor/Code/odsc-workshop/.workshop-venv/bin/python -m pytest -q -p no:cacheprovider 2>&1 && git status --porcelain",
    "exit_code": 0,
    "timeout": false,
    "metadata": {
      "exit_code": 0,
      "pid": -1,
      "username": "instructor",
      "hostname": "workshop-host",
      "working_dir": "/Users/instructor/Code/harness-engineering/outputs/odsc-canned-20261017/profile-exercise6-173006/w6-validator-clean",
      "py_interpreter_path": "/Users/instructor/.cache/uv/archive-v0/cZpGatmgSZEYIeuAv16p4/bin/python",
      "prefix": "",
      "suffix": "\n[The command completed with exit code 0.]"
    },
    "full_output_save_dir": "/Users/instructor/.openhands/agent-canvas/dev_conversations/886eb75f5a3c4d2db7bd9abd8177dd3c/observations",
    "kind": "TerminalObservation"
  },
  "action_id": "6ec76e4a-5290-4077-86c0-f9b1140eef26",
  "extended_content": [],
  "kind": "ObservationEvent"
}
ConversationStateUpdateEvent
{
  "id": "4b84b455-a09d-461e-ba52-dd91e71c797f",
  "timestamp": "2026-10-17T17:33:17.428599",
  "source": "environment",
  "parent_id": "67c2cd4c-0dd8-4973-b843-77a6787251a1",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0053369459999999995,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 152327,
          "completion_tokens": 3553,
          "cache_read_tokens": 133632,
          "cache_write_tokens": 0,
          "reasoning_tokens": 1734,
          "context_window": 1000000,
          "per_turn_token": 24407,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      },
      "task:task_00000001": {
        "model_name": "default",
        "accumulated_cost": 0.00565479,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "default",
          "prompt_tokens": 56831,
          "completion_tokens": 2587,
          "cache_read_tokens": 40960,
          "cache_write_tokens": 0,
          "reasoning_tokens": 835,
          "context_window": 1000000,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}
ConversationStateUpdateEvent
{
  "id": "bf2f1f71-dd2d-4d56-81a9-5caa77ed5cde",
  "timestamp": "2026-10-17T17:33:22.195674",
  "source": "environment",
  "parent_id": "67c2cd4c-0dd8-4973-b843-77a6787251a1",
  "key": "stats",
  "value": {
    "usage_to_metrics": {
      "default": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0058498199999999995,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 176858,
          "completion_tokens": 4108,
          "cache_read_tokens": 157440,
          "cache_write_tokens": 0,
          "reasoning_tokens": 1734,
          "context_window": 1000000,
          "per_turn_token": 25086,
          "response_id": ""
        }
      },
      "condenser": {
        "model_name": "openhands/deepseek-v4-flash",
        "accumulated_cost": 0.0,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "openhands/deepseek-v4-flash",
          "prompt_tokens": 0,
          "completion_tokens": 0,
          "cache_read_tokens": 0,
          "cache_write_tokens": 0,
          "reasoning_tokens": 0,
          "context_window": 0,
          "per_turn_token": 0,
          "response_id": ""
        }
      },
      "task:task_00000001": {
        "model_name": "default",
        "accumulated_cost": 0.00565479,
        "max_budget_per_task": null,
        "accumulated_token_usage": {
          "model": "default",
          "prompt_tokens": 56831,
          "completion_tokens": 2587,
          "cache_read_tokens": 40960,
          "cache_write_tokens": 0,
          "reasoning_tokens": 835,
          "context_window": 1000000,
          "per_turn_token": 0,
          "response_id": ""
        }
      }
    }
  },
  "kind": "ConversationStateUpdateEvent"
}

Agent

## Summary

**Root cause:** `AsyncCounter.increment()` had a torn read-modify-write: `current = self.value; await asyncio.sleep(0); self.value = current + 1`. The `await asyncio.sleep(0)` yielded to the event loop between the read and the write, letting multiple concurrent `gather`-ed jobs read the same `value` and overwrite each other's increments — so 50 concurrent jobs could produce fewer than 50.

**Fix** (`toyapp/async_jobs.py`, only file changed): removed the mid-read-modify-write `await`, so the increment is a single atomic statement `self.value += 1` executed within one synchronous block. The simulated async work (`await asyncio.sleep(WORK_DELAY_SECONDS)`) still runs concurrently for all jobs before the atomic increment, so work is not serialized behind a locked increment.

```diff
     async def increment(self) -> None:
         await asyncio.sleep(WORK_DELAY_SECONDS)
-        current = self.value
-        await asyncio.sleep(0)
-        self.value = current + 1
+        self.value += 1
```

**Checks run (no installs, no commits):**
- `pytest -q` (workshop interpreter): 2 passed, ~0.02s — repeated 3× before delegation + 8× by validator + 1× final (16/16 total passes across all runs); both the 50-count test and the <0.08s concurrency test pass reliably.
- Validator (workshop-validator, invoked exactly once via delegation): **PASS**, ran with `PYTHONDONTWRITEBYTECODE=1` and `-p no:cacheprovider`, used `subprocess.run(capture_output=True)`, confirmed only `toyapp/async_jobs.py` modified and no artifacts left behind.
- Final `git status --porcelain`: only `M toyapp/async_jobs.py` — tests untouched, no pycache/output files.

**Verdicts:** Initial (self-check) PASS; independent validator PASS — same after its return. **No rejected requirements.**

**Remaining uncertainty:** Low. The read-modify-write is atomic only within a single-threaded event loop; if `increment()` were ever driven from multiple OS threads sharing the counter, a lock would be needed. Within the task's async/gather semantics, concurrency is preserved and counting is correct.

**Files changed:** `toyapp/async_jobs.py` (1 insertion, 3 deletions).
Full event evidence
{
  "id": "c051c86f-281a-4863-8412-c14e52b94314",
  "timestamp": "2026-10-17T17:33:22.203545",
  "source": "agent",
  "parent_id": "67c2cd4c-0dd8-4973-b843-77a6787251a1",
  "llm_message": {
    "role": "assistant",
    "content": [
      {
        "cache_prompt": false,
        "type": "text",
        "text": "## Summary\n\n**Root cause:** `AsyncCounter.increment()` had a torn read-modify-write: `current = self.value; await asyncio.sleep(0); self.value = current + 1`. The `await asyncio.sleep(0)` yielded to the event loop between the read and the write, letting multiple concurrent `gather`-ed jobs read the same `value` and overwrite each other's increments — so 50 concurrent jobs could produce fewer than 50.\n\n**Fix** (`toyapp/async_jobs.py`, only file changed): removed the mid-read-modify-write `await`, so the increment is a single atomic statement `self.value += 1` executed within one synchronous block. The simulated async work (`await asyncio.sleep(WORK_DELAY_SECONDS)`) still runs concurrently for all jobs before the atomic increment, so work is not serialized behind a locked increment.\n\n```diff\n     async def increment(self) -> None:\n         await asyncio.sleep(WORK_DELAY_SECONDS)\n-        current = self.value\n-        await asyncio.sleep(0)\n-        self.value = current + 1\n+        self.value += 1\n```\n\n**Checks run (no installs, no commits):**\n- `pytest -q` (workshop interpreter): 2 passed, ~0.02s — repeated 3× before delegation + 8× by validator + 1× final (16/16 total passes across all runs); both the 50-count test and the <0.08s concurrency test pass reliably.\n- Validator (workshop-validator, invoked exactly once via delegation): **PASS**, ran with `PYTHONDONTWRITEBYTECODE=1` and `-p no:cacheprovider`, used `subprocess.run(capture_output=True)`, confirmed only `toyapp/async_jobs.py` modified and no artifacts left behind.\n- Final `git status --porcelain`: only `M toyapp/async_jobs.py` — tests untouched, no pycache/output files.\n\n**Verdicts:** Initial (self-check) PASS; independent validator PASS — same after its return. **No rejected requirements.**\n\n**Remaining uncertainty:** Low. The read-modify-write is atomic only within a single-threaded event loop; if `increment()` were ever driven from multiple OS threads sharing the counter, a lock would be needed. Within the task's async/gather semantics, concurrency is preserved and counting is correct.\n\n**Files changed:** `toyapp/async_jobs.py` (1 insertion, 3 deletions)."
      }
    ],
    "thinking_blocks": []
  },
  "llm_response_id": "gen-1792276398-lLqKAbkNwCaWveC96tpL",
  "activated_skills": [],
  "extended_content": [],
  "kind": "MessageEvent"
}
ConversationStateUpdateEvent
{
  "id": "c1770857-eb9a-4851-b864-cdd92bd9337a",
  "timestamp": "2026-10-17T17:33:22.205895",
  "source": "environment",
  "parent_id": "c051c86f-281a-4863-8412-c14e52b94314",
  "key": "execution_status",
  "value": "finished",
  "kind": "ConversationStateUpdateEvent"
}