Will it create new test files automatically?

The skill only creates new files if that is the established pattern in your project. If similar tests are grouped in shared files, the agent will follow that lead.

Can this skill handle custom internal testing frameworks?

Yes. Because it analyzes your existing files first, it learns your project's specific 'testing contract' regardless of which libraries or custom wrappers you use.

How does this skill differ from standard AI code generation?

Standard AI prompts often create 'idealized' test structures that may not fit your repo. This skill forces the agent to search for and mimic your specific project patterns before writing code.

Does it support mocking and dependency injection?

Yes, the skill specifically instructs the agent to match the project's existing mocking style, whether that involves heavy mocking or integration-style testing.

Project-Conformant Unit Testing

Name: Project-Conformant Unit Testing
Author: opendatahub-io

byopendatahub-io

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Seguridad y Pruebas

Ensures new unit tests strictly adhere to your project's established testing patterns, structures, and coding styles.

The Project-Conformant Unit Testing skill prevents AI agents from 'hallucinating' or inventing new testing structures by forcing a discovery phase before any code is written. By analyzing existing tests within the repository, the skill identifies local naming conventions, assertion styles, and mocking strategies to ensure that all generated tests are indistinguishable from those written by human contributors. This is essential for maintaining consistency in large codebases where following established 'testing contracts' is more important than implementing idealized patterns.

Características Principales

0118 GitHub stars

02Prevention of new testing dependencies or external frameworks

03Automatic reuse of existing test fixtures, utilities, and helpers

04Automated pattern discovery from 2-3 existing project tests

05Style matching for assertions, mocking, and level of coverage

06Strict adherence to local file and function naming conventions

Casos de Uso

01Adding test coverage for new functions in a mature codebase with strict styling

02Maintaining architectural consistency during large-scale refactoring projects

03Ensuring AI-generated tests integrate perfectly with custom internal testing frameworks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add opendatahub-io/ai-helpers unit-test-project-conformant

For use in Claude.ai and ChatGPT

Download Skill