python-testing
Python testing patterns with pytest, fixtures, TDD, mocking, async and integration tests. Use when writing or auditing a Python test suite.
Works with
---
name: python-testing
description: Python testing patterns with pytest, fixtures, TDD, mocking, async and integration tests. Use when writing or auditing a Python test suite.
license: MIT
---
# Python Testing Hub
Testing standards for pytest configuration, fixture management, and TDD implementation.
## Table of Contents
1. [Quick Start](#quick-start)
2. [When to Use](#when-to-use)
3. [Modules](#modules)
## Quick Start
1. **Dependencies**: `pip install pytest pytest-cov pytest-asyncio pytest-mock`
2. **Configuration**: Add the following to `pyproject.toml`:
```toml
[tool.pytest.ini_options]
testpaths = ["tests"]
addopts = "--cov=src"
```
3. **Verification**: Run `pytest` to confirm discovery of files matching `test_*.py`.
## When To Use
- Constructing unit and integration tests for Python 3.9+ projects.
- Isolating external dependencies using `pytest-mock` or custom monkeypatching.
- Validating asynchronous logic with `pytest-asyncio` markers and event loop management.
- Configuring project-wide coverage thresholds and reporting.
## When NOT To Use
- Evaluating test
quality - use pensive:test-review instead
- Infrastructure test
config - use leyline:pytest-config
## Modules
This skill uses modular loading to manage the system prompt budget.
### Core Implementation
- See `modules/unit-testing.md` - AAA (Arrange-Act-Assert) pattern, basic test structure, and exception validation.
- See `modules/fixtures-and-mocking.md` - Request-scoped fixtures, parameterization, and boundary mocking.
- See `modules/async-testing.md` - Coroutine testing, async fixtures, and concurrency validation.
### Infrastructure & Workflow
- See `modules/test-infrastructure.md` - Directory standards, `conftest.py` management, and coverage tools.
- See `modules/testing-workflows.md` - Local execution patterns and GitHub Actions integration.
### Standards
- See `modules/test-quality.md` - Identification of common anti-patterns like broad exception catching or shared state between tests.
## Exit Criteria
- Tests implement the AAA pattern.
- Coverage reaches the 80% project minimum.
- Individual tests are independent and do not rely on execution order.
- Fixtures are scoped appropriately (function, class, or session) to prevent side effects.
- Mocking is restricted to external system boundaries.
## Troubleshooting
- **Test Discovery**: Verify filenames match the `test_*.py` pattern. Use `pytest --collect-only` to debug discovery paths.
- **Import Errors**: Ensure the local source directory is in the path, typically by installing in editable mode with `pip install -e .`.
- **Async Failures**: Confirm that `pytest-asyncio` is installed and that async tests use the `@pytest.mark.asyncio` decorator or corresponding auto-mode configuration.More Testing skills
tdd
mattpocock/skills
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests.
setup-pre-commit
mattpocock/skills
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
agent-browser
vercel-labs/agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

