model-explanation
Pass
Audited by Gen Agent Trust Hub on Jun 29, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill performs model interpretability analysis using standard libraries like SHAP and XGBoost to generate reports. It does not perform network operations or unauthorized file access.\n- [DYNAMIC_EXECUTION]: The script modifies
sys.pathto include the_vendordirectory for internal dependency resolution inexplainer.py. This is restricted to the skill's local directory structure.\n- [DYNAMIC_EXECUTION]: The skill usespandas.query()inexplainer.pyto filter datasets based on CLI arguments. This is standard functionality for data analysis and is scoped to the loaded data.\n- [INDIRECT_PROMPT_INJECTION]: The skill possesses an ingestion surface for untrusted data.\n - Ingestion points:
model_path,data_path(explainer.py)\n - Boundary markers: Absent\n
- Capability inventory: File read, Matplotlib image generation, Markdown/JSON file write (explainer.py)\n
- Sanitization: None (data loaded directly into Pandas and SHAP)
Audit Metadata