writing-unit-test

Files (3)

• README.md
• SKILL.md
• openai.yaml · agents/

SKILL.md (first lines)

# Writing Unit Tests

## Philosophy

**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.

**Good tests** are integration-style: they exercise real code paths through public APIs. They describe _what_ the system does, not _how_ it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.

**Bad tests** are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.

## Rules

- One test at a time
- Don't anticipate future tests
- Keep tests focused on observable behavior
- When fixing a bug, write a test for the expected behavior before any code changes

> **Important**: For test-driven development, follow the `tdd` skill's guidance instead.

### Before writing any code

- [ ] Confirm with user which behaviors to test (prioritize)
- [ ] List the behaviors to test (not implementation steps)
- [ ] Get user approval on the plan

Ask: "What should the public interface look like? Which behaviors are most important to test?"

**You can't test everything.** Confirm with the user exactly which behaviors matter most. Focus testing effort on critical paths and complex logic, not every possible edge case.

From rakaadi/agent-kit, MIT.

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