Skill audit report
DeepLearningFromScratch audit report.
《深度学习入门：基于Python的理论与实现》电子版及配套代码。
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
PASS86
1.1K GitHub stars
Recent maintenance
INFO62
7mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
WARN50
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 qiaohaoforever/DeepLearningFromScratch
Repository evidence
PASS86
https://github.com/qiaohaoforever/DeepLearningFromScratch
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add qiaohaoforever/DeepLearningFromScratch
Repository
88
https://github.com/qiaohaoforever/DeepLearningFromScratch
License
86
MIT
Maintenance
62
7mo 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
1.1K GitHub stars
Warnings
- Quality score needs review
- Documentation summary is thin
- README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context
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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