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Testdriver:Generating Tests

Organization
testdriverai
testdriver:generating-tests

Generate tests by exploring your app with the AI vision agent

Overview

Publishertestdriverai
Repositorytestdriverai
Skill nametestdriver:generating-tests
Stars
465
Forks
39
Bundled files
Instructions only
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 testdriverai on GitHub. Read the source before you install it.

Installation

Install the Testdriver:Generating Tests 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/testdriverai/testdriverai/tree/main/ai/skills/testdriver-generating-tests
  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/testdriverai/testdriverai.git /tmp/testdriverai
mkdir -p .claude/skills
cp -r /tmp/testdriverai/ai/skills/testdriver-generating-tests .claude/skills/testdriverai-testdriver-generating-tests
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testdriver:Generating Tests 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 Testdriver:Generating Tests 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 Testdriver:Generating Tests 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.

Start with an exploration of your app. Tests begin here: you describe a flow in plain English. Then the TestDriver vision agent clicks, types, and reads the screen to understand it. Then it writes the test for you. There are no selectors, no DOM, and no weak locators. Only describe what you want to test. Let the agent find the other parts.

There are two methods for an exploration. You can chat with your AI assistant through the TestDriver MCP server. Or you can give a coding agent our instructions file and tell it to generate a test.

Instructions for Coding Agents

Start with our quickstart. Then give your coding agent our agent instructions file.

Then, you can prompt your coding agent to generate tests. Here is an example prompt:

md
Make me a TestDriver test that does the following steps:

Navigate to practicetestautomation.com
Type username student into Username field
Type password Password123 into Password field
Push Submit button
Verify new page contains expected text 'logged in'

Use explicit commands for production tests. They are at a lower cost, faster, and more reliable.

Start a Conversation

Use the TestDriver MCP server and your AI assistant (GitHub Copilot, Cursor, or Claude Desktop) to make tests. You chat with an AI agent. The agent starts a virtual machine, does actions, and writes the test code for you.

Open the chat of your AI assistant. If your project has no other agents, TestDriver uses the TestDriver agent by default. If not, select testdriver from the agent dropdown in the chat panel.

Describe what you want to test:

Create a test that logs into my app at https://myapp.com

The agent will:

  1. Start a new session and spawn a Linux virtual machine
  2. Launch Chrome and navigate to your URL
  3. Execute actions based on your instructions
  4. Write the test code to a .test.mjs file

Live Preview Panel

When the agent starts a session, a live preview panel opens in your editor. This lets you:

  • Watch tests execute in real-time
  • Interact with the VM — click, type, and navigate manually
  • Debug issues — see exactly what the AI sees

Interactive Workflow

The recommended workflow for exploring and creating tests:

```
Test the checkout flow on https://shop.example.com
```
```
The login modal appeared. Use test@example.com and password123
```
```
Assert that the order confirmation page is shown with the order number
```

Example Conversation

Here's a complete example of exploring and creating a login test:

You: Create a test for the login flow at https://console.testdriver.ai

Agent: I'll create a test for the login flow. Starting a session...
       [Screenshot: Login page loaded]

       I can see the login page. Let me find the email input.
       [Screenshot: Email input highlighted]

       Now I'll type the email and find the password field...

You: Use test@example.com for the email

Agent: Got it. Typing test@example.com...
       [Screenshot: Email entered]

       Now entering the password and clicking Sign In...
       [Screenshot: Dashboard loaded]

       ✅ Login successful! I've written the test to tests/login.test.mjs

Generated Test Code

The agent generates standard Vitest test files:

javascript
import { describe, expect, it } from "vitest";
import { TestDriver } from "testdriverai/vitest/hooks";

describe("Login Flow", () => {
  it("should log in successfully", async (context) => {
    const testdriver = TestDriver(context);

    await testdriver.provision.chrome({
      url: "https://console.testdriver.ai"
    });

    const emailInput = await testdriver.find("email input field");
    await emailInput.click();
    await testdriver.type("test@example.com");

    const passwordInput = await testdriver.find("password input field");
    await passwordInput.click();
    await testdriver.type("password123");

    const signInButton = await testdriver.find("Sign In button");
    await signInButton.click();

    const result = await testdriver.assert("dashboard is visible");
    expect(result).toBeTruthy();
  });
});

Tips for Better Tests

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Frequently asked questions

What does the Testdriver:Generating Tests AI skill do?

Generate tests by exploring your app with the AI vision agent

Why use Testdriver:Generating Tests on TypingMind?

Because you install it once and use it with any model. Testdriver:Generating Tests 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 Testdriver:Generating Tests in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/testdriverai/testdriverai/tree/main/ai/skills/testdriver-generating-tests. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Testdriver:Generating Tests?

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 Testdriver:Generating Tests?

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

Is the Testdriver:Generating Tests AI skill free?

It is published on GitHub by testdriverai. Check the repository for licensing terms. 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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