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Test Generation

Community
agulli
test-generation

Generate comprehensive test suites for existing code. Use when asked to write tests, add test coverage, create unit tests, or build integration tests.

Overview

Publisheragulli
Repositoryatlas-agents
Skill nametest-generation
Stars
580
Forks
127
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Test Generation 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/agulli/atlas-agents/tree/main/ch09_agent_skills/skills/test-generation
  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/agulli/atlas-agents.git /tmp/atlas-agents
mkdir -p .claude/skills
cp -r /tmp/atlas-agents/ch09_agent_skills/skills/test-generation .claude/skills/test-generation
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Test Generation 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 Test Generation 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 Test Generation 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.

Process

  1. Read the source code. Load every function and class under test. Do not write tests from a summary or description — you must see the implementation.

  2. Identify the test framework. Check for:

    • conftest.py or pytest.ini → pytest
    • vitest.config.* → Vitest
    • jest.config.* → Jest If none are found, default to pytest for Python, Vitest for TypeScript/JavaScript.
  3. Categorize test types needed:

    • Happy path: Normal inputs, expected outputs
    • Edge cases: Empty inputs, None/null, boundary values, maximum lengths
    • Error cases: Invalid inputs that should raise exceptions or return errors
    • Integration: Tests that verify multiple components work together
  4. Write tests following the AAA pattern:

    python
    def test_descriptive_name():
        # Arrange — set up inputs and expected state
        user = create_test_user(name="Alice")
        
        # Act — call the function under test
        result = get_user_greeting(user)
        
        # Assert — verify the output
        assert result == "Hello, Alice!"
  5. Name tests descriptively. The test name should describe the scenario and expected outcome:

    • ✅ test_login_rejects_empty_password
    • ❌ test_login_2
  6. Run the tests. Execute the full test suite and confirm all tests pass. If any fail, fix the test (not the source code) unless you discover an actual bug.

Rationalizations

ExcuseRebuttal
"I'll just write happy path tests"Edge cases are where bugs live. Write at least one edge case per function.
"The function is too simple to test"Simple functions get refactored. Tests protect against regressions during refactoring.
"I'll add tests later"You won't. Write them now.
"Mocking everything is fine"Over-mocking hides integration bugs. Mock external services, not your own code.

Verification

  • Tests were executed (not just written)
  • All tests pass
  • At least one edge case test exists per function
  • Test names describe the scenario, not just "test_1", "test_2"

Frequently asked questions

What does the Test Generation AI skill do?

Generate comprehensive test suites for existing code. Use when asked to write tests, add test coverage, create unit tests, or build integration tests.

Why use Test Generation on TypingMind?

Because you install it once and use it with any model. Test Generation 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 Test Generation in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/agulli/atlas-agents/tree/main/ch09_agent_skills/skills/test-generation. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Test Generation?

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 Test Generation?

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

Is the Test Generation AI skill free?

Yes. It is published on GitHub by agulli under the MIT 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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