Skill audit report
Mit Deep Learning Book Pdf audit report.
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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
14K GitHub stars
Recent maintenance
INFO76
4mo since push
License clarity
WARN42
Unknown
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS90
no major dependency risk hints in public metadata
Install availability
PASS92
npx skills add janishar/mit-deep-learning-book-pdf
Repository evidence
PASS86
https://github.com/janishar/mit-deep-learning-book-pdf
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add janishar/mit-deep-learning-book-pdf
Repository
88
https://github.com/janishar/mit-deep-learning-book-pdf
License
45
Unknown
Maintenance
76
4mo 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
Adoption
88
14K GitHub stars
Warnings
- License is unclear
- 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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