python-testing-patterns

Pass

Audited by Gen Agent Trust Hub on Mar 15, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill is an educational resource providing best practices and examples for Python testing. No malicious instructions, obfuscation, or unauthorized data access patterns were detected.\n- [EXTERNAL_DOWNLOADS]: The documentation references standard, well-known Python testing libraries including pytest, pytest-asyncio, pytest-cov, pytest-mock, hypothesis, and testcontainers. These are legitimate tools from trusted community sources.\n- [COMMAND_EXECUTION]: The skill explains how to use the pytest command-line interface for running tests and measuring code coverage, which is the standard and expected behavior for a testing-focused skill.
Audit Metadata
Risk Level
SAFE
Analyzed
Mar 15, 2026, 11:32 AM