speckit-audit-deep

A comprehensive Python code audit integrates static analysis, security scanning, and testing using Ruff, mypy, pytest, and pip-audit, enhanced by LLM confirmation to correlate findings and ensure high-quality, maintainable code.

Yes, this static analysis workflow checks for Python security vulnerabilities by running pip-audit to scan dependencies, while Ruff, mypy, and pytest enforce code quality and test coverage.

Yes, you need ruff, mypy, pytest, and pip-audit installed, as the deep codebase audit relies on these dependencies to execute its comprehensive static analysis, testing, and security scanning functions.

The best way to automate Python security scanning and code quality checks before release is running a deep audit that combines regex analysis, Ruff, mypy, pytest, and pip-audit with LLM confirmation for enhanced accuracy.

Your Python code audit requires LLM confirmation to validate and correlate findings from Ruff, mypy, and pip-audit, improving the overall accuracy of the deep codebase analysis and reducing false positives.