Skill audit report
MovieChat audit report.
[CVPR 2024] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding
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
702 GitHub stars
Recent maintenance
FAIL38
1y since push
License clarity
PASS86
BSD-3-Clause
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add wenhaochai/MovieChat
Repository evidence
PASS86
https://github.com/wenhaochai/MovieChat
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add wenhaochai/MovieChat
Repository
88
https://github.com/wenhaochai/MovieChat
License
86
BSD-3-Clause
Maintenance
38
1y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
credential or environment access
Adoption
88
702 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 1y 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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