What are testing anti-patterns?

Testing anti-patterns are common but sub-optimal approaches to writing tests that lead to flakiness, slow execution, and high maintenance costs over time.

Can it help speed up my CI/CD pipeline?

Yes, by detecting the 'Slow Poke' pattern and suggesting where to use mocks, patches, or more efficient setup logic to reduce test runtimes.

Does it work with specific languages or frameworks?

While the principles apply universally, the skill provides specific implementation patterns and examples for Python environments like FastAPI and pytest.

How does this skill help with flaky tests?

It identifies hidden dependencies, shared state, and secret execution order requirements that cause tests to pass or fail inconsistently.

Testing Anti-Pattern Detection

Name: Testing Anti-Pattern Detection
Author: ChunkyTortoise

byChunkyTortoise

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Security & Testing

Identifies and refactors common testing anti-patterns to ensure reliable, fast, and maintainable test suites.

This skill helps developers diagnose and resolve systemic issues in their test suites, such as flaky tests, slow execution times, and brittle assertions. By providing concrete detection strategies and refactoring patterns for common issues like the 'Mystery Guest' or 'Assertion Roulette,' it enables teams to transform high-maintenance test codebases into robust, readable, and efficient assets. It is particularly useful for teams working with complex backends like FastAPI or GoHighLevel integrations where test reliability is paramount.

Key Features

01Refactors 'Eager Tests' into focused, single-purpose unit tests

02Eliminates 'Assertion Roulette' with descriptive and clear validation logic

030 GitHub stars

04Detects 'Mystery Guest' patterns and explicit setup requirements

05Identifies 'Slow Poke' tests and suggests efficient mocking strategies

06Resolves 'Fragile Fixtures' by implementing isolated state patterns

Use Cases

01Optimizing slow test suites that hinder developer productivity

02Refactoring legacy test codebases to reduce maintenance overhead

03Debugging inconsistent 'flaky' test failures in CI/CD pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add chunkytortoise/enterprisehub testing

For use in Claude.ai and ChatGPT

Download Skill