ai-ethics
Pass
Audited by Gen Agent Trust Hub on Oct 16, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill contains Python code for ethical AI frameworks such as fairness metrics (disparate impact, equalized odds), model explanation techniques (SHAP, LIME), and differential privacy.
- [SAFE]: Data processing is focused on auditing and mitigation within an ML context, utilizing standard libraries like numpy and pandas for numerical analysis.
- [SAFE]: The accountability logging mechanism follows best practices by hashing input data for integrity and logging metadata like model versions and timestamps for audit trails.
- [SAFE]: No evidence of prompt injection, unauthorized data exfiltration, or remote code execution was found.
Audit Metadata