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Pytest code review

Skill existential-birds/beagle/plugins/beagle-python/skills/pytest-code-review

Reviews pytest test code for async patterns, fixtures, parametrize, and mocking. Use when reviewing test_*.py files, checking async test functions, fixture usage, or mock patterns.From its SKILL.md

Install
npx -y skills add existential-birds/beagle --skill pytest-code-review

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

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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 filesPass when: You list every test_*.py and any conftest.py you will cite; no findings for files outside that list.
  2. Async vs syncPass 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. FixturesPass 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 / mocksPass 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. FindingsPass 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?

What ships with it: 4 files

31.3 KB alongside SKILL.md

references/

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