scikit-learn
Pass
Audited by Gen Agent Trust Hub on Apr 9, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides high-quality, comprehensive documentation for the scikit-learn machine learning library, covering classification, regression, clustering, and preprocessing.
- [EXTERNAL_DOWNLOADS]: The skill instructions suggest installing well-known and trusted Python packages such as scikit-learn, pandas, numpy, and matplotlib via the 'uv' package manager.
- [COMMAND_EXECUTION]: Provided scripts (classification_pipeline.py and clustering_analysis.py) perform standard local machine learning workflows using publicly available datasets (e.g., scikit-learn's breast cancer and iris datasets). No dangerous shell commands or network exfiltration patterns were identified.
- [DATA_EXFILTRATION]: No instances of sensitive data harvesting or unauthorized network transmissions were found. The skill focuses on local data processing.
- [PROMPT_INJECTION]: The instructions are strictly focused on technical guidance for scikit-learn and do not contain any patterns attempting to override agent behavior or safety filters.
- [REMOTE_CODE_EXECUTION]: There are no patterns involving the download and immediate execution of scripts from remote servers.
- [SAFE]: Documentation of model persistence using 'joblib' and 'pickle' follows standard data science practices for saving and loading locally trained models.
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