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
shaplibrary and its dependencies (such asmatplotlib) usinguv 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, andpandas. - [SAFE]: The reference files (
explainers.md,plots.md,theory.md, andworkflows.md) contain technically accurate and benign information regarding model explainability workflows, including best practices for debugging and fairness analysis.
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