python-testing-patterns
Pass
Audited by Gen Agent Trust Hub on Apr 9, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides standard documentation and code examples for Python testing using established libraries like pytest, hypothesis, and sqlalchemy. All code samples follow industry best practices for unit, integration, and property-based testing.
- [SAFE]: No evidence of prompt injection, data exfiltration, or malicious commands was found. External URLs point to official documentation for reputable projects.
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