scikit-learn
Pass
Audited by Gen Agent Trust Hub on Sep 19, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a reference and utility set for the scikit-learn library. All code samples follow industry-standard practices (e.g., using Pipelines to prevent data leakage, stratified splitting for classification, and proper hyperparameter tuning).
- [EXTERNAL_DOWNLOADS]: The skill references standard Python packages (scikit-learn, numpy, pandas, matplotlib, seaborn) from the official PyPI registry via the
uvpackage manager. These are well-known, trusted libraries in the data science ecosystem. - [COMMAND_EXECUTION]: The skill provides standard shell commands for package installation and running local example scripts. These commands are transparent and restricted to the intended purpose of the skill.
- [DYNAMIC_EXECUTION]: While the skill mentions model persistence using
jobliborpickle, it provides standard warnings and examples for saving/loading local models. No untrusted data is processed through these methods in the provided examples.
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