Can this skill handle testing for different architectural layers?

Yes, it includes specialized strategies for the Domain layer (minimal mocking), Service layer (mocking infrastructure), and CLI layer (mocking services and orchestration).

How does the AAA pattern improve my Python tests?

The Arrange-Act-Assert pattern provides a clean, readable structure by separating test data setup, the execution of the operation, and the verification of outcomes into distinct sections.

Does this skill support the pytest framework?

Yes, it is fully optimized for pytest, providing specific commands for execution, pattern matching, and detailed coverage reporting in both terminal and HTML formats.

What is the 'Mock at Boundaries' rule used by this skill?

It is a strategy where you mock only external systems—such as APIs, databases, and file I/O—while testing internal business logic and domain models directly to ensure tests are reliable and not brittle.

Python Service Testing

Name: Python Service Testing
Author: gestrich

bygestrich

0•

安全与测试

Generates robust Python unit tests for service classes using the Arrange-Act-Assert pattern and boundary-based mocking.

This skill automates the creation of high-quality unit and integration tests for Python applications following a layered architecture. It implements best practices like the Arrange-Act-Assert (AAA) pattern and the 'Mock at Boundaries' rule, ensuring that external systems like APIs and databases are mocked while internal business logic and domain models are tested directly. By focusing on behavior rather than implementation details, it helps developers build maintainable test suites, improve coverage targets, and ensure test isolation across Domain, Service, Infrastructure, and CLI layers.

主要功能

01Best-practice guidance for maintaining test independence and avoiding shared state

02Automated test generation using the standardized Arrange-Act-Assert (AAA) pattern

03Smart mocking strategy that isolates external dependencies while testing internal logic

04Layer-specific testing templates for Domain, Service, Infrastructure, and CLI components

050 GitHub stars

06Integrated pytest support for running tests and generating coverage reports

使用场景

01Writing comprehensive unit tests for new Python service classes with complex dependencies

02Improving test coverage and identifying edge cases in existing service-layer logic

03Refactoring brittle test suites to focus on behavioral outcomes rather than implementation details

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add gestrich/python-architecture testing-services

For use in Claude.ai and ChatGPT

主要功能

01Best-practice guidance for maintaining test independence and avoiding shared state

02Automated test generation using the standardized Arrange-Act-Assert (AAA) pattern

03Smart mocking strategy that isolates external dependencies while testing internal logic

04Layer-specific testing templates for Domain, Service, Infrastructure, and CLI components

050 GitHub stars

06Integrated pytest support for running tests and generating coverage reports

使用场景

01Writing comprehensive unit tests for new Python service classes with complex dependencies

02Improving test coverage and identifying edge cases in existing service-layer logic

03Refactoring brittle test suites to focus on behavioral outcomes rather than implementation details