shap

Pass

Audited by Gen Agent Trust Hub on Jul 30, 2026

Risk Level: SAFE
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill provides instructions for installing the shap library and its dependencies (such as matplotlib) using uv pip. These are well-known and standard tools in the data science ecosystem.
  • [COMMAND_EXECUTION]: The documentation includes various Python code snippets for training models, computing Shapley values, and generating visualizations. These are intended as templates for the user's local development environment and involve standard libraries like xgboost, scikit-learn, and pandas.
  • [SAFE]: The reference files (explainers.md, plots.md, theory.md, and workflows.md) contain technically accurate and benign information regarding model explainability workflows, including best practices for debugging and fairness analysis.
Audit Metadata
Risk Level
SAFE
Analyzed
Jul 30, 2026, 03:10 AM