Skill audit report
Book5 Essentials Of Probability And Statistics audit report.
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
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
3.7K GitHub stars
Recent maintenance
PASS88
2mo 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 Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Repository evidence
PASS86
https://github.com/Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Repository
88
https://github.com/Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
License
45
Unknown
Maintenance
88
2mo 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
3.7K 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.
Compare nearby options
Related skills to audit next
Tensorflow
An Open Source Machine Learning Framework for Everyone
196K stars · Audit report
Transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K stars · Audit report
Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
101K stars · Audit report