scikit-learn-machine-learning
Pass
Audited by Gen Agent Trust Hub on Apr 28, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides educational content and functional code examples for classical machine learning using the standard scikit-learn library.
- [REMOTE_CODE_EXECUTION]: The skill demonstrates model persistence using
joblib.dump()andjoblib.load(). Whilejoblib(likepickle) involves deserialization which can be unsafe if used on untrusted data, the code examples follow standard library practices for local model management. - [COMMAND_EXECUTION]: The documentation includes a command for installing well-known, trusted data science libraries (
scikit-learn,numpy,pandas,matplotlib,seaborn) via the standard Python package manager.
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