A comprehensive browser automation skill for OpenClaw that performs functional, UI, accessibility, performance, and visual regression testing.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install vibetesting
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install vibetesting using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The vibetesting skill is a robust automation engine designed specifically for the OpenClaw ecosystem. It empowers AI agents to programmatically launch browser instances (Chrome/Chromium) to interact with and validate web applications across multiple technical dimensions. By leveraging this tool within Openclaw Skills, developers can automate the verification of UI consistency, WCAG accessibility compliance, and Core Web Vitals.
This skill bridges the gap between manual browsing and automated quality assurance. Whether you need a quick smoke test or a deep security audit, it provides the necessary infrastructure to ensure web applications perform as expected under various conditions. Its ability to generate detailed HTML reports and JSON exports makes it an essential component for modern development workflows using Openclaw Skills.
To get started with this skill, ensure that Chrome or Chromium is installed on your host system. The OpenClaw gateway must be running with browser support enabled. You can execute tests directly via the command line or integrate them into your agent workflows:
npx vibetesting --url https://example.com --type comprehensive --output results/
For CI/CD integration, define the target URL and report format in your pipeline configuration to leverage the full power of Openclaw Skills.
The skill organizes its output into structured artifacts that provide a clear overview of the application state. Data is typically categorized as follows:
| Data Category | Format | Contents |
|---|---|---|
| Executive Summary | Text | Overall pass/fail statistics and critical issue count. |
| Functional Results | HTML | Detailed breakdown of test cases and error messages. |
| Accessibility Audit | HTML | WCAG violation severity and remediation recommendations. |
| Performance Metrics | JSON | Detailed timing for LCP, FID, CLS, and Lighthouse scores. |
| Visual Diffs | PNG | Side-by-side comparison images highlighting layout shifts. |
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