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unit-test

Design and implement comprehensive unit tests for Python code using pytest.

1|2|Updated Jan 15, 2026
Search Tags:#code quality#testing#software development#pytest#unit test#test strategy
One-click install
npx skills add https://github.com/ihmorol/unsw-nb15-handling-binary-multiclass-ids --skill unit-test-ihmorol
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: unit-test
Source: https://github.com/ihmorol/unsw-nb15-handling-binary-multiclass-ids/tree/main/.opencode/skills/unit-test
Command: npx skills add https://github.com/ihmorol/unsw-nb15-handling-binary-multiclass-ids --skill unit-test-ihmorol

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you design robust test strategies and implement comprehensive, maintainable unit tests for your code, ensuring quality and reliability.

Core Features & Use Cases

  • Test Design Protocol: Guides you through identifying testable behaviors, planning test groups, writing clear cases, and achieving coverage targets.
  • Standard Test Structure: Provides a clear Arrange-Act-Assert pattern for writing effective tests.
  • Test Categories: Covers unit, integration, edge, error, and performance testing.
  • Quality Checklist: Ensures tests are independent, descriptive, maintainable, and fast.
  • Use Case: When developing a new Python function, use this Skill to generate a complete suite of unit tests that cover valid inputs, edge cases, and error conditions.

Quick Start

Use the unit-test skill to write a pytest test for the calculate_average function that handles an empty list by raising a ValueError.

Frequently Asked Questions about unit-test

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

FAQPage Schema
How do I structure pytest unit tests for Python components?▼

Structure pytest unit tests using the Arrange-Act-Assert pattern to separate test setup, execution, and verification. This ensures maintainability and thoroughness by keeping test cases clear and independent.

What test categories should I cover when designing a test strategy?▼

A comprehensive test strategy should cover unit, integration, edge, error, and performance testing categories. This ensures thorough validation of valid inputs, edge cases, and error conditions across software components.

How do I write pytest tests that handle edge cases and error conditions?▼

Write pytest tests handling edge cases and error conditions by identifying testable behaviors and planning test groups. Use assertions to verify that functions raise expected exceptions, like ValueError for invalid or empty inputs.

Does this unit testing approach work for evaluating code quality in Python?▼

Yes, this approach improves code quality by enforcing a quality checklist ensuring tests are independent, descriptive, maintainable, and fast. It helps generate complete test suites covering valid inputs and error conditions.

What's the best way to achieve test coverage targets for Python software development?▼

Achieve test coverage targets by following a test design protocol that guides you through identifying testable behaviors, planning test groups, writing clear cases, and validating adherence to best practices for Python code.

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