pseudonymization-risk
Pass
Audited by Gen Agent Trust Hub on May 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill is a comprehensive educational and professional resource for privacy engineering. The content is coherent, well-documented, and aligns with recognized regulatory standards (GDPR, ENISA).
- [SAFE]: The Python implementation in
scripts/process.pyuses only standard library modules for cryptographic hashing (hmac,hashlib) and secure random generation (secrets). It does not perform any network operations, external downloads, or sensitive file system access. - [SAFE]: No instances of prompt injection, obfuscation, or metadata poisoning were found. The instructions focus on structured assessment frameworks rather than overriding AI behavior.
- [SAFE]: The skill processes user-supplied data (dataset records) solely for calculating risk metrics like k-anonymity and l-diversity. There is no risk of command injection or execution as the data is treated as static inputs for mathematical models.
- [SAFE]: No hardcoded credentials or secret tokens were found. The code uses secure practices for generating ephemeral keys for demonstration purposes.
Audit Metadata