Skill audit report
CVPR2024 Papers With Code Demo audit report.
收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!
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
1.4K GitHub stars
Recent maintenance
FAIL22
2y 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 DWCTOD/CVPR2024-Papers-with-Code-Demo
Repository evidence
PASS86
https://github.com/DWCTOD/CVPR2024-Papers-with-Code-Demo
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add DWCTOD/CVPR2024-Papers-with-Code-Demo
Repository
88
https://github.com/DWCTOD/CVPR2024-Papers-with-Code-Demo
License
86
Apache-2.0
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
1.4K GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
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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