python-ml-predictive
Pass
Audited by Gen Agent Trust Hub on May 14, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill demonstrates high security standards for machine learning integration, specifically advocating for strict input validation via Pydantic to prevent malformed data from reaching models.
- [SAFE]: Artifact management practices follow industry standards by recommending model storage in secure object stores (S3/GCS) rather than version control, and using environment variables for access.
- [SAFE]: The use of scikit-learn Pipelines ensures that data preprocessing is encapsulated and consistent between training and inference, which is a key defense against data leakage and logic errors.
- [SAFE]: Documentation includes considerations for data protection regulations (e.g., Uganda DPPA, Kenya DPA), highlighting privacy-conscious implementation.
Audit Metadata