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Testdriver:Performing Actions

Organization
testdriverai
testdriver:performing-actions

Perform actions and handle dynamic, async UI so tests adapt to change

Overview

Publishertestdriverai
Repositorytestdriverai
Skill nametestdriver:performing-actions
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:Performing Actions 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-performing-actions
  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-performing-actions .claude/skills/testdriverai-testdriver-performing-actions
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Testdriver:Performing Actions 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:Performing Actions 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:Performing Actions 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.

Real apps move, load, and change. Adapt your tests to these conditions.

You generated and learned your tests. Then you got them to run. Now the challenge is the real world: buttons show after a spinner, pages navigate, animations play, and content comes in over the network. To keep the tests reliable, do the correct actions and control the timing. Then your tests adapt to the true behavior of the UI. They do not break.

Performing Actions

TestDriver gives you many actions. You can click, type, hover, and scroll. For a full list, read the API Reference.

javascript
// Clicking
await testdriver.find('submit button').click();
await testdriver.find('file item').doubleClick();
await testdriver.find('text area').rightClick();

// Typing
await testdriver.find('email input').type('user@example.com');
await testdriver.find('password input').type('secret', { secret: true });

// Keyboard shortcuts
await testdriver.pressKeys(['enter']);
await testdriver.pressKeys(['ctrl', 'c']);

// Hovering
await testdriver.find('dropdown menu').hover();

// Scrolling
await testdriver.scroll('down', 500);

// Waiting
await testdriver.wait(2000); // Wait 2 seconds for animation/state change

// Extracting information from screen
const price = await testdriver.extract('the total price');
const orderNumber = await testdriver.extract('the order confirmation number');

Chaining Actions

TestDriver lets you chain methods for cleaner code:

javascript
// Chain find() with actions
const button = await testdriver.find('submit button').click();

Or keep the element reference for later use:

javascript
const button = await testdriver.find('submit button');
await button.click();

Waiting for Dynamic Content

By default, find() polls automatically for a maximum of 10 seconds. It tries again each 5 seconds until it finds the element. Thus TestDriver finds most elements that show after short async operations. You do not need more configuration.

For longer operations, make the timeout larger:

javascript
// Default behavior - polls for up to 10 seconds automatically
const element = await testdriver.find('Loading complete indicator');
await element.click();

// Wait up to 30 seconds for slower operations
const element = await testdriver.find('Loading complete indicator', { timeout: 30000 });
await element.click();

// Useful after actions that trigger loading states
await testdriver.find('submit button').click();
await testdriver.find('success message', { timeout: 15000 });

// Disable polling for instant checks
const toast = await testdriver.find('notification toast', { timeout: 0 });

Flake Prevention

TestDriver automatically waits for the screen and network to stabilize after each action using redraw detection. This prevents flaky tests caused by animations, loading states, or dynamic content updates.

For example, when clicking a submit button that navigates to a new page:

javascript
// Click submit - TestDriver automatically waits for the new page to load
await testdriver.find('submit button').click();

// By the time this runs, the page has fully loaded and stabilized
await testdriver.assert('dashboard is displayed');
await testdriver.find('welcome message');

Without redraw detection, you'd need manual waits or retries to handle the page transition. TestDriver handles this automatically by detecting when the screen stops changing and network requests complete.

You can disable redraw detection or customize its behavior:

javascript
// Disable redraw detection for faster tests (less reliable)
const testdriver = TestDriver(context, { 
  redraw: false 
});

Here is an example of customizing redraw detection:

javascript
// Fine-tune redraw detection
const testdriver = TestDriver(context, { 
  redraw: {
    enabled: true,
    diffThreshold: 0.1,      // Pixel difference threshold (0-1)
    screenRedraw: true,      // Monitor screen changes
    networkMonitor: true,    // Wait for network idle
  }
});

Simple Delays with wait()

For simple pauses — waiting for animations, transitions, or state changes after an action — use wait():

javascript
// Wait for an animation to complete
await testdriver.find('menu toggle').click();
await testdriver.wait(2000);

// Wait for a page transition to settle
await testdriver.find('next page button').click();
await testdriver.wait(1000);

Once your tests can reliably act on a changing UI and assert the results, the next step is figuring out what happened when something does go wrong.

Frequently asked questions

What does the Testdriver:Performing Actions AI skill do?

Perform actions and handle dynamic, async UI so tests adapt to change

Why use Testdriver:Performing Actions on TypingMind?

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

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

Which AI models can use Testdriver:Performing Actions?

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:Performing Actions?

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

Is the Testdriver:Performing Actions 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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