Pytest Code Review
SkillFiles & storageReviews 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.
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What this skill tells your AI
The instructions your AI receives, as published by existential-birds/beagle in plugins/beagle-python/skills/pytest-code-review/SKILL.md and read by ahel’s review.
Quick Reference
| Issue Type | Reference |
|---|---|
| async def test_*, AsyncMock, await patterns | references/async-testing.md |
| conftest.py, factory fixtures, scope, cleanup | references/fixtures.md |
| @pytest.mark.parametrize, DRY patterns | references/parametrize.md |
| AsyncMock tracking, patch patterns, when to mock | references/mocking.md |
Review gates
Work in order. Do not assert pytest-specific problems until each applicable gate passes.
- Scoped files — Pass when: You list every
test_*.pyand anyconftest.pyyou will cite; no findings for files outside that list. - 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. - Fixtures — Pass when: If shared setup matters, you name the
conftest.pypath(s) or state none; for yield fixtures, confirm cleanup exists before claiming resource leaks. - patch / mocks — Pass when: For any
patchor 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. - 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
- Are all async functions tested with async def test_*?
- Are fixtures properly scoped with appropriate cleanup?
- Can similar test cases be parametrized to reduce duplication?
- Are mocks tracking calls and used at the right locations?
Signals
- GitHub stars
- 81
- Forks
- 8
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
pytest-code-review- Source
- github.com/existential-birds/beagle