Build and run automated QA testing bots that simulate real user journeys and detect regressions using Apify and Puppeteer.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install qa-testing-bots
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install qa-testing-bots using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Automated QA Testing Bots?
This skill empowers developers to create robust automated QA testing bots that simulate real-world user interactions across web applications. By leveraging the power of Apify alongside industry-standard tools like Puppeteer and Playwright, these Openclaw Skills allow for comprehensive end-to-end testing, from simple link checking to complex checkout flows.
Integrating these automated QA testing bots into your development lifecycle ensures that bugs, broken flows, and performance regressions are identified before they reach production. Whether you need to validate UI elements or capture visual proof of success via screenshots, this skill provides a professional-grade framework for maintaining application quality.
Automated QA Testing Bots Use Cases
- Simulating complete user journeys like signup, login, and multi-step checkout.
- Detecting broken links and 404 errors site-wide to improve SEO and user experience.
- Validating the presence and functionality of UI components like buttons, modals, and dropdowns.
- Running regression tests automatically after every new deployment or pull request.
- Testing responsive designs across multiple viewports including desktop, tablet, and mobile.
How Automated QA Testing Bots Works
- The user defines the specific user journey or test scenario they wish to automate.
- Claude maps out the logic and generates a specialized Puppeteer or Playwright script for the journey.
- The Openclaw Skills interface triggers an Apify actor to execute the test in a headless browser environment.
- Real-time data is captured, including step-by-step pass/fail statuses and visual artifacts like screenshots.
- Results are aggregated into a structured report for immediate analysis or CI/CD integration.
Automated QA Testing Bots Setup
First, sign up for an Apify account and obtain your Personal API Token from the Integrations settings. Set your token as an environment variable to allow the skill to authenticate with the API:
export APIFY_TOKEN=apify_api_xxxxxxxxxxxxxxxx
Next, install the required client library in your project environment:
npm install apify-client
Automated QA Testing Bots Data Schema & Taxonomy
The skill generates a standardized test report schema to ensure consistency across different automated QA testing bots runs. Data is organized as follows:
| Field | Type | Description |
|---|---|---|
| testName | String | The descriptive name of the specific test suite |
| passed | Boolean | Indicates if the entire journey was successful |
| duration | Number | Total time taken for the test run in milliseconds |
| steps | Array | Individual actions with duration and PASS/FAIL status |
| screenshotUrl | String | Link to the visual evidence stored in the Apify Key-Value store |
| errors | Array | List of specific error messages captured during execution |
Automated QA Testing Bots Advanced Features
- Support for cross-browser testing using Playwright to validate behavior on Chrome, Firefox, and WebKit.
- Multi-viewport validation to ensure UI consistency across various device resolutions.
- Performance monitoring including TTFB, DOM Content Loaded, and JS heap usage metrics.
- Automated CI/CD integration with GitHub Actions for post-deployment verification.
- Parallel execution of multiple test journeys via distributed Apify actors for faster feedback loops.
SKILL.md
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