atft-code-quality

What problem does it solve?

Manual code review and quality assurance processes are slow, error-prone, and can lead to regressions, security vulnerabilities, and inconsistent code styles, especially in a complex ML codebase. This Skill automates these checks, ensuring high-quality code.

Core Features & Use Cases

• Automated Linting & Formatting: Enforce consistent code style and catch common errors using tools like Ruff, ensuring a clean and readable codebase.
• Comprehensive Testing: Execute unit, integration, and security tests to prevent regressions and identify vulnerabilities before deployment.
• Use Case: Before merging any new code, automatically run the full quality pipeline to check for formatting issues, type errors, failing tests, and potential security flaws, guaranteeing high-quality, production-ready code.

Quick Start

Example: Run full quality gate

pre-commit run --all-files ruff check src/ --fix mypy src/gogooku3 scripts/ pytest tests/unit -n auto -q