Skill audit report
Nndl audit report.
邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版
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
PASS100
19K GitHub stars
Recent maintenance
PASS100
14d since push
License clarity
WARN42
Unknown
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 nndl/nndl
Repository evidence
PASS86
https://github.com/nndl/nndl
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add nndl/nndl
Repository
88
https://github.com/nndl/nndl
License
45
Unknown
Maintenance
100
14d 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
19K GitHub stars
Warnings
- License is unclear
- Documentation summary is thin
- 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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