privacy-engineering

Pass

Audited by Gen Agent Trust Hub on Apr 7, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill contains technical documentation and code examples focused on privacy protection and regulatory compliance.
  • [EXTERNAL_DOWNLOADS]: The skill references standard, well-known Python libraries such as Microsoft Presidio, pandas, SDV, and cryptography for data processing and protection tasks. These are legitimate dependencies for the provided functionality.
  • [CREDENTIALS_UNSAFE]: The skill correctly demonstrates secure credential management by using environment variables and secret management functions rather than hardcoding sensitive keys.
Audit Metadata
Risk Level
SAFE
Analyzed
Apr 7, 2026, 10:28 AM
Security Audit — agent-trust-hub — privacy-engineering