shap
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill documentation and provided scripts follow security best practices, specifically highlighting the risks of deserializing untrusted model or explainer artifacts (pickle, joblib) in both SKILL.md and troubleshooting references.
- [SAFE]: The bundled report script (
tabular_report.py) is deterministic and self-contained, operating only on built-in scikit-learn datasets without external network requests or sensitive file access. - [SAFE]: All external references and dependencies (e.g., SHAP, scikit-learn, NumPy, pandas) are standard, well-known libraries in the machine learning ecosystem, and installation instructions use pinned versions for reproducibility.
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