Skill audit report
DeepLearning audit report.
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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
7.7K GitHub stars
Recent maintenance
FAIL22
6y since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO74
Public metadata needs stronger README/SKILL.md context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add MingchaoZhu/DeepLearning
Repository evidence
PASS86
https://github.com/MingchaoZhu/DeepLearning
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add MingchaoZhu/DeepLearning
Repository
88
https://github.com/MingchaoZhu/DeepLearning
License
86
MIT
Maintenance
20
6y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Usable description available
Dependency risk
90
no major dependency risk hints in public metadata
Adoption
88
7.7K GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Recent maintenance: 6y 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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