ai-trace-runner
by PromptSpace
Transform ambiguous AI tasks into auditable execution traces with verified evidence and AI-smell detection.
- 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.
$5
One-time purchase
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
ai-trace-runner
by PromptSpace
Transform ambiguous AI tasks into auditable execution traces with verified evidence and AI-smell detection.
$5
One-time purchase
⚡ Skill ready to install in Claude Code, Gemini CLI, or any MCP-compatible client. Read the install guides →
Included in download
- Downloadable skill package
- Works with OpenClaw, Cursor
- Instant install
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.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.
How to Install
mkdir -p ~/.claude/skills/ai-trace-runner && curl -s -X POST 'https://api.promptspace.in/api/skills/ai-trace-runner/install' | python3 -c "import sys,json; sys.stdout.write(json.load(sys.stdin).get('installInstructions') or '')" > ~/.claude/skills/ai-trace-runner/SKILL.mdFree skills install directly. Paid skills require purchase - use the download button above after buying.
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OpenClaw, Cursor, Claude Code, Codex CLI
Creator
PromptSpace
We build AI agent skill packages for content creators. Specializing in Chinese social media automation.