python-testing-patterns

Pass

Audited by Gen Agent Trust Hub on Sep 4, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill provides standard documentation and code examples for Python testing using pytest, unittest.mock, hypothesis, and sqlalchemy. All practices shown—such as using tmp_path for temporary files, monkeypatch for environment variables, and fixtures for resource isolation—are industry-standard best practices for secure and reliable testing. No suspicious behavior, obfuscation, or data exfiltration patterns were detected. References to external tools (pytest, hypothesis, codecov) target well-known and trusted services in the developer community.
Audit Metadata
Risk Level
SAFE
Analyzed
Sep 4, 2026, 03:05 PM
Security Audit — agent-trust-hub — python-testing-patterns