Codex Hydraflow Quality Checks for Python Types and Test Coverage
Use Hydraflow's quality workflow to review formatting, types, coverage, and duplicated logic. Record which checks apply and what they found.
中文Install in Codex
Codex with a Hydraflow checkout and the project's Ruff, Pyright, pytest, and local quality dependencies.
- Copy the entire pinned `.codex/skills/hf.code-quality-enforcer/` directory to `.agents/skills/code-quality-enforcer/` in the target checkout.
- Open Codex in that checkout and invoke `$code-quality-enforcer` with the example task and desired output.
Example task
Invoke `$code-quality-enforcer` for a practice Python helper that adds a default-value branch. Use existing fixtures to check empty and ordinary input.What to check
The report maps the new branch to tests, records the type and test results, and identifies remaining checks.
Original SKILL.md on GitHub · Updated
Frequently asked question
Is a coverage percentage enough?
The upstream workflow also records concrete coverage gaps, test-to-function mapping, check status, and actionable fixes.