Skill audit report
AI Tutorial audit report.
大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录
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
PASS86
3.7K GitHub stars
Recent maintenance
PASS100
6d since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
WARN50
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add cbamls/AI_Tutorial
Repository evidence
PASS86
https://github.com/cbamls/AI_Tutorial
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add cbamls/AI_Tutorial
Repository
88
https://github.com/cbamls/AI_Tutorial
License
45
Unknown
Maintenance
100
6d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
3.7K GitHub stars
Warnings
- License is unclear
- Documentation summary is thin
- License clarity: Unknown
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
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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