Skill audit report
TF FLAME audit report.
Tensorflow framework for the FLAME 3D head model. The code demonstrates how to sample 3D heads from the model, fit the model to 2D or 3D keypoints, and how to generate textured head meshes from Images.
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
INFO62
479 GitHub stars
Stars/forks activity
INFO62
479 stars, 79 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL22
3y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add TimoBolkart/TF_FLAME
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/TimoBolkart/TF_FLAME
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add TimoBolkart/TF_FLAME
Repository
88
https://github.com/TimoBolkart/TF_FLAME
License
45
Unknown
Maintenance
20
3y 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
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
62
479 stars, 79 forks; issue activity unavailable in current metadata
Adoption
68
479 GitHub stars
Warnings
- License is unclear
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 3y 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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