Skill audit report
CVPR2024 Paper Code Interpretation audit report.
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理
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
PASS100
12K GitHub stars
Recent maintenance
FAIL22
2y since push
License clarity
WARN42
Unknown
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 extreme-assistant/CVPR2024-Paper-Code-Interpretation
Repository evidence
PASS86
https://github.com/extreme-assistant/CVPR2024-Paper-Code-Interpretation
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add extreme-assistant/CVPR2024-Paper-Code-Interpretation
Repository
88
https://github.com/extreme-assistant/CVPR2024-Paper-Code-Interpretation
License
45
Unknown
Maintenance
20
2y 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
12K GitHub stars
Warnings
- License is unclear
- Repository appears stale
- Repository looks stale
- Recent maintenance: 2y since push
- 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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