shap
Pass
Audited by Gen Agent Trust Hub on Jun 13, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill serves as a technical guide for the SHAP library. All instructions and code snippets represent standard, documented usage of the library for explaining machine learning models.
- [EXTERNAL_DOWNLOADS]: Recommends the installation of well-known and trusted Python packages (such as shap, matplotlib, xgboost, and tensorflow) from official registries.
- [COMMAND_EXECUTION]: Provides standard Python commands for model training, data processing, and visualization within a data science context.
- [DYNAMIC_EXECUTION]: Mentions the use of
joblib.loadfor loading saved models and explainers; this is a standard practice for model persistence in machine learning and is appropriate for the skill's primary purpose.
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