Skill audit report
Tpot audit report.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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
10K GitHub stars
Recent maintenance
INFO62
9mo since push
License clarity
PASS86
LGPL-3.0
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 EpistasisLab/tpot
Repository evidence
PASS86
https://github.com/EpistasisLab/tpot
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add EpistasisLab/tpot
Repository
88
https://github.com/EpistasisLab/tpot
License
86
LGPL-3.0
Maintenance
62
9mo 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
10K GitHub stars
Warnings
No major warnings detected from available metadata.
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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