Skill audit report
Face Recognition audit report.
The world's simplest facial recognition api for Python and the command line
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
PASS100
57K GitHub stars
Stars/forks activity
PASS100
57K stars, 14K forks; issue activity unavailable in current metadata
Recent maintenance
FAIL38
2y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add ageitgey/face_recognition
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/ageitgey/face_recognition
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add ageitgey/face_recognition
Repository
88
https://github.com/ageitgey/face_recognition
License
86
MIT
Maintenance
38
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
100
57K stars, 14K forks; issue activity unavailable in current metadata
Adoption
88
57K GitHub stars
Warnings
- Permission surface may require sandboxing
- Repository appears stale
- Repository looks stale
- Permission surface needs review: shell or command execution, filesystem or document access
- Recent maintenance: 2y since push
- Permission surface: shell or command execution, filesystem or document access
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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