web-qa-bot

What This Skill Does

The web-qa-bot is a sophisticated AI-powered agent skill designed to streamline and automate Quality Assurance for modern web applications. Unlike traditional testing frameworks that rely on brittle CSS selectors or XPaths which break every time a front-end framework updates its styling, web-qa-bot leverages browser accessibility trees. This approach ensures that tests interact with the application the way a human would, identifying elements by their semantic roles and labels. The skill provides a comprehensive toolkit for smoke testing, visual regression analysis, and accessibility compliance checks. It integrates seamlessly with popular coding assistants like Cursor, Claude, and GitHub Copilot, allowing developers to "vibe-code" their test suites in YAML or TypeScript. Whether you are performing a quick production sanity check or running a complex, multi-step critical path test suite, web-qa-bot provides the reliability and automation required for robust web development workflows.

Installation

To integrate web-qa-bot into your OpenClaw environment, ensure you have Node.js installed. You can install the package globally and set up the browser dependencies via your terminal:

npm install -g web-qa-bot agent-browser
agent-browser install

Once installed, you can register the skill using the ClawHub interface: clawhub install openclaw/skills/skills/nextfrontierbuilds/web-qa-bot. This will allow your AI agent to trigger the bot programmatically during your development lifecycle.

Use Cases

1. Automated Smoke Testing: Quickly verify the availability and fundamental health of your web application post-deployment by checking for console errors, broken navigation, and missing asset metadata.
2. Critical Path Verification: Ensure high-value user flows—such as authentication, checkout processes, and account settings—remain functional across different environments using YAML-based test definitions.
3. CI/CD Regression Monitoring: Integrate the tool into your deployment pipeline to act as a quality gate. If a test suite fails, the command returns a non-zero exit status, effectively blocking faulty code from reaching production.
4. Programmatic Audit: Use the TypeScript SDK to build custom internal dashboard monitoring tools that perform scheduled snapshots and accessibility audits on your staging environments.

Example Prompts

1. "Run a smoke test on https://staging-app.example.com and tell me if there are any console errors or missing accessibility labels."
2. "Create a new test suite file named login-flow.yaml that navigates to /login, types the test credentials, clicks sign-in, and verifies that the dashboard header is visible."
3. "Execute the critical-paths.yaml test suite and generate a PDF report for the stakeholders, ensuring we capture screenshots if any of the steps fail."

Tips & Limitations

• Role-Based Selectors: Always prioritize using ARIA roles (e.g., 'button', 'link', 'heading') over CSS classes. This makes tests future-proof against UI refactors.
• Modals and Overlays: When testing complex interactions, ensure your script allows time for animations or conditional loading states to complete; otherwise, the agent may attempt to interact with a hidden element.
• Headless Mode: Use headless mode for CI/CD to save system resources, but keep the --no-headless flag enabled when debugging new tests locally so you can observe the agent interacting with the browser in real-time.
• Limitation: As an agent-driven tool, it may occasionally struggle with deeply nested iframes or legacy web components that do not properly implement standard accessibility roles, requiring manual inspection in those specific cases.