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pytest-code-review

pytest-code-review

github.com/existential-birdsTesting & quality85229 installsUpdated 11w ago
Repository

About pytest-code-review

pytest-code-review is a skill for reviewing pytest tests, aimed at reviewers checking async tests, fixtures, and mocks. Its gates require scoped files, applicable references, and specific locations before pytest-related issues are reported.

Key features

  1. 01List files in review scope
  2. 02Distinguish synchronous and async tests
  3. 03Check fixture scope and cleanup
  4. 04Verify mock and patch usage locations
  5. 05Require file paths or test node IDs for findings

Use cases

  1. 01Review async tests and AsyncMock usage
  2. 02Check conftest.py fixtures and resource cleanup
  3. 03Verify patch targets and mock call assertions
  4. 04Identify parameterizable or duplicated test logic

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/existential-birds/beagle --skill pytest-code-review

After installing, type/pytest-code-reviewin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
async-testing.md
fixtures.md
mocking.md
parametrize.md

Details

From the project README

Pytest Code Review

Quick Reference

Issue TypeReference
async def test_*, AsyncMock, await patternsreferences/async-testing.md
conftest.py, factory fixtures, scope, cleanupreferences/fixtures.md
@pytest.mark.parametrize, DRY patternsreferences/parametrize.md
AsyncMock tracking, patch patterns, when to mockreferences/mocking.md

Review gates

Work in order. Do not assert pytest-specific problems until each applicable gate passes.

  1. Scoped files — Pass when: You list every test_*.py and any conftest.py you will cite; no findings for files outside that list.
  2. Async vs sync — Pass when: Per scoped file, you note whether it uses async def test_* / await; if yes, open references/async-testing.md before criticizing async usage.
  3. Fixtures — Pass when: If shared setup matters, you name the conftest.py path(s) or state none; for yield fixtures, confirm cleanup exists before claiming resource leaks.
  4. patch / mocks — Pass when: For any patch or mock critique, you give the import path where the symbol is used (call site), or mark N/A; open references/mocking.md when mocking is central to the review.
  5. Findings — Pass when: Each finding includes a file path and line(s) or test node id, not a generic rule restatement.

Review Checklist

  • Test functions are async def test_* for async code under test
  • AsyncMock used for async dependencies, not Mock
  • All async mocks and coroutines are awaited
  • Fixtures in conftest.py for shared setup
  • Fixture scope appropriate (function, class, module, session)
  • Yield fixtures have proper cleanup in finally block
  • @pytest.mark.parametrize for similar test cases
  • No duplicated test logic across multiple test functions
  • Mocks track calls properly (assert_called_once_with)
  • patch() targets correct location (where used, not defined)
  • No mocking of internals that should be tested
  • Test isolation (no shared mutable state between tests)

When to Load References

  • Reviewing async test functions → async-testing.md
  • Reviewing fixtures or conftest.py → fixtures.md
  • Reviewing similar test cases → parametrize.md
  • Reviewing mocks and patches → mocking.md

Review Questions

  1. Are all async functions tested with async def test_*?
  2. Are fixtures properly scoped with appropriate cleanup?
  3. Can similar test cases be parametrized to reduce duplication?
  4. Are mocks tracking calls and used at the right locations?

Comments

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