testing

Run and automate Python tests with pytest, fixtures, mocking, and coverage.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/theslashdojo/dojo --skill testing-theslashdojo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: testing
Source: https://github.com/theslashdojo/dojo/tree/main/nodes/python/testing
Command: npx skills add https://github.com/theslashdojo/dojo --skill testing-theslashdojo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, pytest-cov, and includes scripts (resource) components.

What problem does it solve?

Writing, organizing, and running Python tests can be error-prone and slow to iterate on; this skill provides clear patterns and guidance to author reliable unit, integration, and async tests so you catch regressions early and ship with confidence.

Core Features & Use Cases

  • Provides guidance on test discovery, naming conventions, and test structure for predictable test runs.
  • Explains fixtures, scopes, and conftest.py usage for reusable setup and teardown in unit and integration tests.
  • Covers async testing patterns, mocking strategies for synchronous and asynchronous code, parameterized tests for data-driven cases, and coverage reporting for CI pipelines.

Quick Start

Run the project's test suite with verbose output and coverage by invoking the provided run-tests script or running pytest -v --cov=src against the tests directory.

Frequently Asked Questions about testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run pytest with coverage reporting for my Python project?

Run pytest tests with coverage by executing pytest -v --cov=src against the tests directory to validate code behavior and generate coverage reports for CI pipelines.

How do I set up pytest fixtures and manage scopes for reusable test setup?

pytest fixtures and scopes are configured using conftest.py to provide reusable setup and teardown logic across unit and integration tests, ensuring predictable test runs and clean state management.

Does pytest support testing async Python code natively?

pytest supports async code testing through pytest-asyncio integration, allowing you to validate asynchronous Python behavior using standard fixture setup and mocking strategies within your test suite.

What is the best way to structure pytest parameterized tests for data-driven cases?

Parameterized pytest tests enable data-driven test execution by applying multiple input combinations to a single test function, reducing duplication while maintaining clear test discovery and naming conventions.

How do I use mocking strategies for synchronous and asynchronous Python tests?

Mocking in pytest isolates synchronous and asynchronous code dependencies during test execution, replacing external calls with controlled responses to validate specific code behavior without requiring live services.

Do I need pytest-cov installed to generate test coverage reports in CI?

pytest-cov is required as a dependency to generate coverage reports when running pytest, enabling CI pipelines to measure code validation completeness and identify untested paths in the src directory.