ai-trace-runner
Transform ambiguous AI tasks into auditable execution traces with verified evidence and AI-smell detection.
skill install https://www.promptspace.in/skills/ai-trace-runnerWhat 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.yamlexecution topologies - Any file-system or API-based tool within the agent's scope
- Integrated human-in-the-loop gates for destructive actions
Use cases
- 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.
Example
Prompt
Sample output preview is available after purchase.