scikit-learn
Pass
Audited by Gen Agent Trust Hub on Mar 31, 2026
Risk Level: SAFEEXTERNAL_DOWNLOADSCOMMAND_EXECUTION
Full Analysis
- [SAFE]: The skill primarily serves as a documentation repository and tutorial for the scikit-learn library, following industry-standard machine learning workflows.
- [EXTERNAL_DOWNLOADS]: Installation instructions in
SKILL.mdandreferences/quick_reference.mdguide the user to install well-known data science packages (scikit-learn, pandas, numpy, etc.) from official registries using theuvpackage manager. - [COMMAND_EXECUTION]: The skill provides two Python scripts,
scripts/classification_pipeline.pyandscripts/clustering_analysis.py, which demonstrate standard model training and data visualization. These scripts use local datasets and do not perform any network operations. - [SAFE]: Reference documentation in
references/model_evaluation.mdmentions model persistence usingpickleandjoblib. While these methods can be unsafe for untrusted data, they are documented here as standard library features for educational purposes, and the skill's own code does not implement unsafe deserialization from external sources.
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