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