validating-ai-ethics-and-fairness

Pass

Audited by Gen Agent Trust Hub on Mar 24, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: No malicious patterns, such as prompt injection, obfuscation, or unauthorized data exfiltration, were detected during the analysis. The skill's functionality aligns with its stated purpose of AI ethics validation.
  • [EXTERNAL_DOWNLOADS]: The skill instructions reference standard Python libraries (fairlearn, aif360, pandas, numpy, scikit-learn) and official resources from well-known trusted organizations including Google, IBM, IEEE, and the European Commission. These references are used legitimately for fairness analysis and regulatory compliance mapping.
  • [COMMAND_EXECUTION]: The provided Python scripts perform expected file processing and basic network connectivity checks. For example, validate_model.py uses standard HTTP HEAD requests to verify the accessibility of user-provided model endpoints. No dangerous or hidden command execution patterns were identified.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 24, 2026, 03:57 PM