Skill audit report
TensorFlow 2.X Tutorials audit report.
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
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
PASS94
6.4K GitHub stars
Recent maintenance
FAIL22
6y since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS100
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add dragen1860/TensorFlow-2.x-Tutorials
Repository evidence
PASS86
https://github.com/dragen1860/TensorFlow-2.x-Tutorials
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add dragen1860/TensorFlow-2.x-Tutorials
Repository
88
https://github.com/dragen1860/TensorFlow-2.x-Tutorials
License
45
Unknown
Maintenance
20
6y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
100
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
6.4K GitHub stars
Warnings
- License is unclear
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 6y 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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