testing

Verify behavior through public APIs in unit and integration tests.

14|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/tae0y/python-project-template --skill testing-tae0y
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: testing
Source: https://github.com/tae0y/python-project-template/tree/main/.claude/skills.nouse/testing
Command: npx skills add https://github.com/tae0y/python-project-template --skill testing-tae0y

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tests that verify behavior instead of internal implementation details.

Core Features & Use Cases

  • Behavior-first testing: verify outcomes via public APIs rather than internal state.
  • Test Factory Pattern: create reusable data builders with sensible defaults.
  • Anti-pattern guidance: avoid testing private methods and brittle internal details.

Quick Start

Create a behavior-focused test using a factory to generate test data and assert outcomes via public APIs.

Frequently Asked Questions about testing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is behavior-driven testing and how does it differ from testing implementation details?

Behavior-driven testing verifies outcomes via public APIs rather than internal state. It focuses on asserting expected behavior through external interfaces, avoiding brittle tests tied to private methods or internal implementation details across your codebase.

How do I use the test factory pattern to generate test data?

The test factory pattern creates reusable data builders with sensible defaults for your tests. You use these factories to generate test data validated against real schemas, ensuring robust coverage in unit and integration tests without duplicating data setup logic.

Why should I avoid testing private methods in my unit tests?

Testing private methods creates brittle tests coupled to internal implementation details. Behavior-first testing enforces using public APIs to verify outcomes, ensuring your tests remain valid and maintainable even when internal code structures change or get refactored.

What's the best way to structure unit and integration tests for robust coverage?

The best way to structure tests for robust coverage is verifying behavior via public APIs and avoiding 1:1 mappings between tests and implementation files. Use test factories to build validated data and focus on edge cases across unit and integration tests.

When do I need behavior testing instead of standard implementation testing?

You need behavior testing when your tests break frequently due to internal code refactoring. By validating test data against real schemas and asserting outcomes through public APIs, behavior testing ensures quality assurance without relying on fragile internal state mappings.