Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    ai Trace Runner

    2

    Transform ambiguous AI tasks into auditable execution traces with verified evidence and AI-smell detection.

    $5

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    ai-trace-runner

    ai-trace-runner

    Example session with this skill installed

    Trace a run to update the API routes and verify test coverage. Stop if you hit blockers. Clean up the final summary for AI-smell.

    • Read your context and instructions
    • Compiled the ai-trace-runner

    [Verification Report]

    • Criterion: 'Update API routes' -> VERIFIED (See diff in Evidence Bundle)
    • Criterion: 'Test coverage > 80%' -> BLOCKED (Missing jest config)

    [AI-Smell Report]
    Score: 4/5 (Repetitive hedging detected)
    Cleanup: Removed "As an AI..." and "I have successfully..." phrases.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Generate auditable logs for compliance-sensitive code changes.Debug failed agent runs by comparing planned steps vs. actual execution logs.Verify AI claims against concrete evidence like diffs and command outputs.Standardize agent reporting using project.yaml execution topologies.Clean up 'robotic' AI summaries using built-in smell detection.

    About this skill

    What it does

    AI Trace Runner is a comprehensive execution wrapper for AI agents that turns ambiguous tasks into auditable, verifiable run records. It replaces basic prompting with a structured pipeline: creating a request contract, generating an execution plan, logging every material action, and assembling an evidence bundle. It ensures that every claim made by the AI is backed by a specific file path, command output, or observation.

    Why use this skill

    Standard AI agents often suffer from 'hallucinated confidence'—claiming a task is done when it actually failed or was bypassed. This skill solves the lack of transparency in agentic workflows by forcing explicit verification. It includes built-in "AI-smell" detection to strip away robotic fluff and project.yaml integration for rigorous dependency management. It is ideal for developers who need to debug complex agent behaviors or provide ironclad proof of work for code changes and system audits.

    Supported tools

    • Standard CLI and shell environments
    • Project management via project.yaml execution topologies
    • Any file-system or API-based tool within the agent's scope
    • Integrated human-in-the-loop gates for destructive actions

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 4 months ago

    • Passed all security checks, Safe to install

    Listed4 months ago

    What's inside

    Frequently Asked Questions