Does it support deep site crawling?

Yes, it features a depth management system that can handle everything from single-page audits (depth 1) to deep recursive crawls (depth 3+).

How does it measure website performance?

It uses browser evaluation scripts to measure Core Web Vitals such as Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS).

Can it check for accessibility violations?

Yes, it includes a WCAG 2.1 Level AA checklist to identify issues with color contrast, keyboard navigation, alt text, and ARIA labels.

How are testing results reported?

Findings are categorized by severity (Critical, Warning, Info) and include actionable details like reproduction steps, selectors, and user impact.

What browser tools does this skill use?

This skill primarily utilizes Playwright MCP tools to interact with, inspect, and automate browser actions within web applications for autonomous testing.

Browser Testing Patterns

Name: Browser Testing Patterns
Author: tommymorgan

bytommymorgan

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Security & Testing

Automates comprehensive web application testing including functional validation, WCAG accessibility compliance, and Core Web Vitals performance analysis.

About

This skill empowers Claude to perform autonomous, systematic exploratory testing of web applications using Playwright MCP tools. It provides a structured framework for identifying functional bugs, detecting JavaScript console errors, auditing accessibility standards (WCAG 2.1 AA), measuring performance metrics like LCP and CLS, and spotting visual regressions. By following a prioritized methodology—focusing on critical user flows like authentication and payments—it ensures thorough coverage while managing testing depth and generating actionable, severity-categorized reports for developers.

Key Features

Integrated JavaScript console and network request error detection
Visual layout issue detection with contextual screenshot capturing
Systematic exploratory testing using a structured layered approach
1 GitHub stars
Automated accessibility audits for WCAG 2.1 Level AA compliance
Real-time performance measurement of Core Web Vitals (LCP, FID, CLS)

Use Cases

Conducting comprehensive smoke tests on staging environments before production releases
Auditing existing web applications for accessibility gaps and performance bottlenecks
Performing autonomous exploratory testing on new features to identify edge-case functional bugs

About

Key Features

Integrated JavaScript console and network request error detection
Visual layout issue detection with contextual screenshot capturing
Systematic exploratory testing using a structured layered approach
1 GitHub stars
Automated accessibility audits for WCAG 2.1 Level AA compliance
Real-time performance measurement of Core Web Vitals (LCP, FID, CLS)

Use Cases

Conducting comprehensive smoke tests on staging environments before production releases
Auditing existing web applications for accessibility gaps and performance bottlenecks
Performing autonomous exploratory testing on new features to identify edge-case functional bugs