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, and umap-learn. These are reputable libraries widely used in the machine learning community.- [COMMAND_EXECUTION]: The skill includes instructions for installing dependencies using the uv package 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.
Audit Metadata
Risk Level
SAFE
Analyzed
Aug 17, 2026, 02:13 AM