validating-ai-ethics-and-fairness

Pass

Audited by Gen Agent Trust Hub on Sep 9, 2026

Risk Level: SAFEEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTION
Full Analysis
  • [EXTERNAL_DOWNLOADS]: The skill documentation and instructions specify the installation of well-known, legitimate data science and fairness libraries including fairlearn, aif360, pandas, numpy, and scikit-learn from official Python package registries.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to read and analyze external model files and datasets. This functionality introduces an attack surface for indirect prompt injection, where an attacker could embed malicious instructions within the data being audited to influence the agent's behavior. This is an inherent risk of data analysis skills and is flagged as a vulnerability surface rather than a specific exploit.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 9, 2026, 03:46 AM