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Testdriver:Cloud

Organization
testdriverai
testdriver:cloud

The fastest way to get started with TestDriver. Just set your API key and start testing.

Overview

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

Use it in TypingMind

Enable Testdriver:Cloud 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:Cloud 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:Cloud 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.

Cloud pricing is based on device-seconds: the amount of time your tests run on our infrastructure.

  • Zero Setup — Start testing immediately. No DevOps required.
  • Free Tier — Get started with a limited preview at no cost.
  • Pay As You Go — Only pay for the device-seconds you use.

Get Started

Cloud is the default when you follow the Quickstart guide. <Card title="Try the Quickstart"
icon="play" href="/v7/quickstart"

Set your API key and start testing in minutes.

Parallel Testing Limits

Your account has a set number of license slots that determine how many devices can run simultaneously. You can view your available slots in the TestDriver Dashboard.

Avoiding Slot Conflicts

To prevent tests from failing due to exceeding your license slot limit, we recommend two key configurations:

```javascript vitest.config.mjs
import { defineConfig } from 'vitest/config';
import { TestDriver } from 'testdriverai/vitest';

export default defineConfig({
  test: {
    testTimeout: 900000,
    hookTimeout: 900000,
    maxConcurrency: 5, // Set to your license slot limit
    reporters: ['default', TestDriver()],
    setupFiles: ['testdriverai/vitest/setup'],
  },
});
```

<Tip>
  Check your slot count at [console.testdriver.ai](https://console.testdriver.ai) and set `maxConcurrency` to that number or lower.
</Tip>
```yaml .github/workflows/test.yml
name: Tests

on:
  push:
    branches: [main]
  pull_request:

# Prevent concurrent runs from competing for license slots
concurrency:
  group: ${{ github.workflow }}-${{ github.ref }}
  cancel-in-progress: true

jobs:
  test:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      
      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '20'
      
      - name: Install dependencies
        run: npm install
      
      - name: Run tests
        run: vitest run
        env:
          TD_API_KEY: ${{ secrets.TD_API_KEY }}
```

The `concurrency` block ensures:
- Only one workflow run per branch runs at a time
- New pushes cancel in-progress runs on the same branch
- Different branches/PRs can run in parallel (up to your slot limit)

When to Consider Self-Hosted

Cloud is perfect for getting started and for teams that want zero infrastructure management. However, you might consider Self-Hosted if you:

  • Want to escape per-second billing with a flat license fee
  • Require greater concurrency than offered in Cloud plans
  • Need full control over your infrastructure and privacy
  • Want to use your own AI API keys
  • Require custom hardware configurations
  • Have high test volumes that make self-hosting more economical

<Card title="Explore Self-Hosted" icon="server" href="/v7/self-hosted"

Learn about self-hosting for unlimited test execution at a flat rate.

Frequently asked questions

What does the Testdriver:Cloud AI skill do?

The fastest way to get started with TestDriver. Just set your API key and start testing.

Why use Testdriver:Cloud on TypingMind?

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

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

Which AI models can use Testdriver:Cloud?

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:Cloud?

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

Is the Testdriver:Cloud 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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