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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.

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$ npx -y skills add existential-birds/beagle --skill pytest-code-review --agent claude-code

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How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/pytest-code-review

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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.

SKILL.md

pytest-code-review.SKILL.md
name: pytest-code-review
description: 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.

Pytest Code Review

Quick Reference

| Issue Type | Reference | |------------|-----------| | async def test_*, AsyncMock, await patterns | [references/async-testing.md](references/async-testing.md) | | conftest.py, factory fixtures, scope, cleanup | [references/fixtures.md](references/fixtures.md) | | @pytest.mark.parametrize, DRY patterns | [references/parametrize.md](references/parametrize.md) | | AsyncMock tracking, patch patterns, when to mock | [references/mocking.md](references/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](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](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?

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