python-testing

Enforce phased gates for Python test design, mocking, and advanced strategies.

Updated Feb 24, 2026
One-click install
npx skills add https://github.com/AymanKastali/pydentity --skill python-testing-aymankastali
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-testing
Source: https://github.com/AymanKastali/pydentity/tree/main/.claude/skills/python-testing
Command: npx skills add https://github.com/AymanKastali/pydentity --skill python-testing-aymankastali

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the enforcement of high-quality Python tests by codifying phased gates, ensuring tests meet design, mastery, and rigor standards before implementation proceeds.

Core Features & Use Cases

  • Phase-driven gates enforce structured test development, review, and integration with pytest, fixtures, and mocks.
  • Guided testing discipline covers design, mastery, mocking, and advanced strategies like property-based testing and async tests.
  • Use case: A team on an enterprise Python project uses this skill to prevent anti-patterns during test writing and ensure reusable, independent tests with clear naming.

Quick Start

Draft tests that adhere to the phased gates and review them for independence, clear naming, and boundary mocking.

Frequently Asked Questions about python-testing

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

FAQPage Schema
How do I enforce rigorous Python testing standards across my pytest suite?

To enforce rigorous Python testing, you apply phased gates covering design, mastery, mocking, and advanced strategies. This ensures tests meet independence and descriptive naming standards before implementation proceeds using pytest conventions.

What are phased gates in Python test development?

Phased gates are structured checkpoints that govern Python test development and review. They mandate checks for test independence, clear descriptive naming, and proper boundary mocking before a test suite advances through implementation phases.

Does this testing approach support async tests and property-based testing with Hypothesis?

Yes, the approach supports advanced techniques including async tests using asyncio and property-based testing with Hypothesis. It integrates these strategies within pytest conventions to maintain rigor across unit and integration tests.

What's the best way to structure pytest fixtures and mocks for enterprise Python projects?

The best way to structure pytest fixtures and mocks is through guided testing discipline that enforces reusability and independence. Phased gates review proper patching and boundary mocking to prevent anti-patterns in enterprise projects.

When should I not use phased gates for Python test review?

You should avoid phased gates for rapid prototyping where immediate functionality outweighs strict test independence and descriptive naming. The gate-based enforcement is designed for projects requiring reusable, maintainable test suites rather than throwaway scripts.