sklearn-explainability

Pass

Audited by Gen Agent Trust Hub on Sep 16, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides documentation on standard, well-known machine learning interpretability tools including SHAP, Permutation Importance, and Partial Dependence Plots (PDP).
  • [SAFE]: All code snippets use standard data science libraries for their intended purposes without any malicious patterns or hidden logic.
  • [SAFE]: No network access, sensitive file system operations, or external code downloads are requested or performed.
  • [INDIRECT_PROMPT_INJECTION]: As the skill involves interpreting data models, it inherently processes external datasets (e.g., X_test), but serves as a documentation guide rather than an automated tool executor, making the risk negligible.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 16, 2026, 04:41 PM