Skill audit report
ML NLP audit report.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
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
18K GitHub stars
Recent maintenance
INFO76
5mo 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 NLP-LOVE/ML-NLP
Repository evidence
PASS86
https://github.com/NLP-LOVE/ML-NLP
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add NLP-LOVE/ML-NLP
Repository
88
https://github.com/NLP-LOVE/ML-NLP
License
45
Unknown
Maintenance
76
5mo 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
18K 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