scikit-learn
Pass
Audited by Gen Agent Trust Hub on Aug 17, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a legitimate technical resource for data science, offering clear documentation on supervised learning, unsupervised learning, model evaluation, and preprocessing techniques.- [EXTERNAL_DOWNLOADS]: The documentation references standard and well-known Python packages from the PyPI registry, including
scikit-learn,pandas,numpy,matplotlib,seaborn,category-encoders,imbalanced-learn, andumap-learn. These are reputable libraries widely used in the machine learning community.- [COMMAND_EXECUTION]: The skill includes instructions for installing dependencies using theuvpackage manager and running included example scripts. These operations are within the expected scope of a developer-oriented skill.- [DATA_EXPOSURE]: No hardcoded credentials, sensitive file paths, or unauthorized network operations were detected in the instructions or scripts.
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