lgpd-anonymization

Pass

Audited by Gen Agent Trust Hub on Jun 21, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides legitimate instructions and code recipes for data privacy transformations. No malicious patterns or bypass attempts were detected.
  • [SAFE]: Secret management practices are secure; the code snippets correctly instruct users to retrieve sensitive cryptographic keys from environment variables (e.g., os.environ["PSEUDONYM_HMAC_KEY"]) rather than hardcoding them.
  • [SAFE]: All library dependencies mentioned (e.g., numpy, scikit-learn, pyffx) are standard packages for data science and encryption tasks and are used according to their intended functionality.
  • [SAFE]: The skill includes mandatory re-identification tests (Singling out, Linkage, and Inference attacks), demonstrating a high standard for data safety and security auditing.
Audit Metadata
Risk Level
SAFE
Analyzed
Jun 21, 2026, 07:24 PM
Security Audit — agent-trust-hub — lgpd-anonymization