Skill audit report
CVprojects audit report.
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++、embedded system）
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, 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
2.6K GitHub stars
Stars/forks activity
PASS83
2.6K stars, 693 forks; issue activity unavailable in current metadata
Recent maintenance
INFO76
6mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add enpeizhao/CVprojects
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/enpeizhao/CVprojects
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add enpeizhao/CVprojects
Repository
88
https://github.com/enpeizhao/CVprojects
License
45
Unknown
Maintenance
76
6mo 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
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
83
2.6K stars, 693 forks; issue activity unavailable in current metadata
Adoption
88
2.6K GitHub stars
Warnings
- License is unclear
- License clarity: Unknown
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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