Does this skill work with existing test frameworks?

Yes, it provides conceptual and implementation guidance that can be applied to any testing framework like Jest, Vitest, Pytest, or Mocha.

How does this skill handle mocking?

It treats mocking as a last resort, encouraging the use of in-memory fakes or network recording tools to ensure tests more accurately reflect real-world behavior.

What is the primary benefit of the Testing Guidelines skill?

It ensures that Claude follows high-quality testing patterns, such as using deep equality checks and avoiding fragile mocks, leading to more robust software.

Why are strict assertions important in this skill?

Strict assertions, like deep equality checks, ensure that the entire data structure is correct rather than just checking for the existence of a single value, preventing hidden bugs.

Testing Guidelines

Name: Testing Guidelines
Author: motlin

bymotlin

Security & Testing

Enforces rigorous testing standards including strict assertions, minimal mocking, and clear naming conventions for high-quality test suites.

About

The Testing Guidelines skill provides a framework for Claude to write, edit, and review tests with a focus on reliability and maintainability. It establishes strict rules for assertions by favoring deep equality checks, discourages the overuse of mocks in favor of fakes or record/replay frameworks, and standardizes naming conventions to improve clarity. This skill is ideal for teams looking to eliminate brittle tests and ensure that their AI-generated test suites reflect industry-best practices for integration and unit testing.

Key Features

Strategic guidance on using fakes and examples instead of mocks
Standardized test naming conventions for better readability
Strict architectural constraints for test implementation and review
Support for record/replay network traffic patterns
Promotion of strict deep equality assertions over loose inclusions
0 GitHub stars

Use Cases

Automating code reviews to ensure test quality and assertion depth
Standardizing testing patterns across a new project or organization
Refactoring brittle test suites that rely too heavily on function mocking

About

Key Features

Strategic guidance on using fakes and examples instead of mocks
Standardized test naming conventions for better readability
Strict architectural constraints for test implementation and review
Support for record/replay network traffic patterns
Promotion of strict deep equality assertions over loose inclusions
0 GitHub stars

Use Cases

Automating code reviews to ensure test quality and assertion depth
Standardizing testing patterns across a new project or organization
Refactoring brittle test suites that rely too heavily on function mocking