Skill audit report
Codex Autoresearch audit report.
A codex plugin for running optimization loops inside a codebase. It is useful when you have a measurable target and many possible changes to try: test runtime, build speed, bundle size, model loss, Lighthouse scores, memory use, query latency, or any other metric you can print from a script.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
669 GitHub stars
Recent maintenance
PASS100
2d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add TheGreenCedar/codex-autoresearch
Repository evidence
PASS86
https://github.com/TheGreenCedar/codex-autoresearch
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add TheGreenCedar/codex-autoresearch
Repository
88
https://github.com/TheGreenCedar/codex-autoresearch
License
86
Apache-2.0
Maintenance
100
2d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
669 GitHub stars
Warnings
- Quality score needs review
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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