Skip to content
Back to skills

Pytest Mastery

ASecurity

Structure pytest suites with fixtures, parametrize, and markers so tests stay fast, isolated, and readable. Use when writing Python tests or untangling a slow, fixture-heavy suite.

  • 7 stars
  • 0 votes
  • 0 copies
  • 1 view
  • Added September 5, 2026
ai-agentspythondebugging

Security analysis

A100/100

Scanned September 5, 2026

npx -y skills add Amey-Thakur/AI-SKILLS --skill pytest-mastery --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Pytest Mastery?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Pytest Mastery
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/amey-thakur-pytest-mastery/badge)](https://www.skillsdirectory.com/skills/amey-thakur-pytest-mastery)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: pytest-mastery
description: Structure pytest suites with fixtures, parametrize, and markers so tests stay fast, isolated, and readable. Use when writing Python tests or untangling a slow, fixture-heavy suite.
---

# Pytest mastery

Fixtures are dependency injection for tests: each test states what it needs,
pytest builds it, and scope controls how much is shared.

## Method

1. **Scope fixtures by cost, not convenience.** Default `function` scope for
   anything mutable; `session` scope only for expensive immutable resources
   (a container, a compiled artifact). A session-scoped mutable fixture is
   the classic source of order-dependent flakiness.
2. **Layer conftest.py by directory.** Repo-root conftest holds universal
   fixtures; each package's tests get their own conftest for local ones.
   Never import fixtures across test files; discovery through conftest is
   the mechanism.
3. **Parametrize instead of copy-pasting.**
   `@pytest.mark.parametrize("raw,expected", CASES, ids=str)` turns a table
   of cases into individual test items with readable names. Stack two
   parametrize decorators to get the cross product.
4. **Use markers as a vocabulary, registered in pyproject.** `slow`,
   `integration`, `requires_gpu`; select with `-m "not slow"` locally and
   run everything in CI. Unregistered markers are typos waiting to pass
   silently; set `--strict-markers`.
5. **Prefer tmp_path, monkeypatch, and capsys over hand-rolled setup.**
   `tmp_path` gives an isolated directory per test; `monkeypatch.setenv`
   and `.setattr` undo themselves; `capsys` asserts on output without
   redirecting streams manually.
6. **Assert one behavior per test, plainly.** Bare `assert` with pytest's
   rewriting gives rich diffs; `pytest.raises(ValueError, match="port")`
   pins the error and its message. If a test needs a comment to explain
   what it checks, its name is wrong.
7. **Keep the suite fast enough to run on every save.** Measure with
   `--durations=10`; push anything over a second behind a `slow` marker.
   `pytest -x --ff` (fail fast, failed first) is the debugging loop.

## Boundaries

- Do not mock what you own; restructure so the seam is a real interface.
  Mock only true externals (network, clock, randomness).
- Fixture chains deeper than three levels hide the arrange step; inline the
  setup or build an explicit builder function.

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…