Use when checking for data leaks, PII handling, and license risks in Python research code.
Use when documenting Python research code usage, setup, and experiment reproduction.
Use when adding lightweight data versioning and dataset reproducibility practices.
Use when organizing experiment logs, results, and metadata for Python research code.
Use when adding minimal CI automation for lint, tests, and type checks in Python research code.
Use when adding formatting, linting, and type checking to Python research code.
Use when improving run configuration, seeding, and reproducibility for Python research code.