ml-model-interpretability
Pass
Audited by Gen Agent Trust Hub on Jul 8, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides accurate instructions and code examples for interpreting machine learning models using well-known frameworks like SHAP, LIME, and fairlearn.
- [SAFE]: No prompt injection attempts, credential exposure, or data exfiltration patterns were detected in the instructions or reference files.
- [SAFE]: Eight reference files (including 'architecture-patterns.md', 'code-organization.md', and others) contain 150 sections each of repetitive engineering boilerplate. This 'documentation stuffing' significantly increases the volume of the skill but does not contain executable malicious code or hidden URLs.
- [SAFE]: All identified Python package dependencies are legitimate, well-known open-source libraries for data science and visualization.
Audit Metadata