faker-synthetic-data
Pass
Audited by Gen Agent Trust Hub on Aug 12, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides instructions and a code example for using the standard
fakerlibrary to substitute sensitive data with synthetic values. The analysis of the provided Python code and markdown content shows no malicious patterns, prompt injections, or unauthorized data access. It correctly identifies and warns against common pitfalls in data masking, such as using deterministic seeds for security purposes or failing to account for quasi-identifiers. The dependencies and external links point to official documentation for standard tools (Python Faker, Microsoft Presidio, NIST, GDPR) and are used appropriately for educational reference.
Audit Metadata