pseudo-vs-anon-data
Pass
Audited by Gen Agent Trust Hub on May 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements logic for data privacy assessments using standard Python libraries. Analysis of all files, including instructions, code, and documentation, shows no evidence of malicious intent, prompt injection, data exfiltration, or obfuscation.
- [SAFE]: All external references are to official legal and regulatory bodies (GDPR, CJEU, ICO, CNIL, ENISA) and are used correctly within the context of privacy law education.
- [SAFE]: The script
scripts/process.pyperforms purely local data processing on provided data structures with no access to sensitive system resources, environment variables, or network endpoints. The code uses only standard library modules and follows secure coding practices for its intended purpose.
Audit Metadata