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Unit Test Generator

Community
JackyST0
unit-test-generator

Automatically generate unit tests based on source code, supporting multiple languages and testing frameworks.

Overview

PublisherJackyST0
Repositoryawesome-agent-skills
Skill nameunit-test-generator
Stars
651
Forks
145
Bundled files
1
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JackyST0 on GitHub. Read the source before you install it.

Installation

Install the Unit Test Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/JackyST0/awesome-agent-skills/tree/main/examples/unit-test-generator
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JackyST0/awesome-agent-skills.git /tmp/awesome-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-agent-skills/examples/unit-test-generator .claude/skills/unit-test-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Unit Test Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Unit Test Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Unit Test Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Unit Test Generator

根据源代码自动生成单元测试,支持多种语言和测试框架。

Automatically generate unit tests based on source code, supporting multiple languages and testing frameworks.

When to Use

当用户请求以下操作时使用此 skill:

  • 生成单元测试 / Generate unit tests
  • 为函数/类编写测试 / Write tests for functions/classes
  • 创建测试用例 / Create test cases
  • 提高代码覆盖率 / Improve code coverage

Instructions

分析步骤 / Analysis Steps

  1. 识别代码 - 确定编程语言和代码结构
  2. 分析功能 - 理解函数/方法的输入、输出和行为
  3. 确定边界 - 识别边界条件和边缘情况
  4. 选择框架 - 根据语言选择合适的测试框架
  5. 生成测试 - 编写全面的测试用例

支持的语言和框架 / Supported Languages

语言测试框架
Pythonpytest, unittest
JavaScript/TypeScriptJest, Mocha, Vitest
JavaJUnit, TestNG
Gotesting (built-in)
Rustcargo test (built-in)

测试类型 / Test Types

  • 正常路径测试 - 验证预期行为
  • 边界条件测试 - 测试边界值
  • 异常处理测试 - 验证错误处理
  • 空值/空输入测试 - 处理空值情况

输出格式 / Output Format

使用 templates/test-report.md 模板格式化输出。

Use the templates/test-report.md template to format output.

markdown
## 单元测试生成报告 / Unit Test Generation Report

### 分析概述 / Analysis Summary
[代码分析总结]

### 生成的测试 / Generated Tests
[测试代码]

### 测试覆盖说明 / Coverage Notes
- 覆盖的场景
- 建议补充的测试

Examples

输入 / Input

python
def divide(a: float, b: float) -> float:
    if b == 0:
        raise ValueError("Cannot divide by zero")
    return a / b

输出 / Output

单元测试生成报告

分析概述

divide 函数执行除法运算,包含除零检查。需要测试正常除法、除零异常、边界值等情况。

生成的测试

python
import pytest
from your_module import divide

class TestDivide:
    """Tests for the divide function."""

    def test_divide_positive_numbers(self):
        """Test division of positive numbers."""
        assert divide(10, 2) == 5.0
        assert divide(7, 2) == 3.5

    def test_divide_negative_numbers(self):
        """Test division with negative numbers."""
        assert divide(-10, 2) == -5.0
        assert divide(10, -2) == -5.0
        assert divide(-10, -2) == 5.0

    def test_divide_by_zero_raises_error(self):
        """Test that dividing by zero raises ValueError."""
        with pytest.raises(ValueError, match="Cannot divide by zero"):
            divide(10, 0)

    def test_divide_zero_numerator(self):
        """Test division when numerator is zero."""
        assert divide(0, 5) == 0.0

    def test_divide_float_precision(self):
        """Test division with floating point numbers."""
        assert divide(1, 3) == pytest.approx(0.333333, rel=1e-5)

测试覆盖说明

  • ✅ 正常正数除法
  • ✅ 负数除法
  • ✅ 除零异常
  • ✅ 分子为零
  • ✅ 浮点精度

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Unit Test Generator AI skill do?

Automatically generate unit tests based on source code, supporting multiple languages and testing frameworks.

Why use Unit Test Generator on TypingMind?

Because you install it once and use it with any model. Unit Test Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Unit Test Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JackyST0/awesome-agent-skills/tree/main/examples/unit-test-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Unit Test Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Unit Test Generator?

As many as you like. As long as a model supports skills, you can use Unit Test Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Unit Test Generator AI skill free?

Yes. It is published on GitHub by JackyST0 under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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