web-ai-accessibility-analysis
CommunityAssess web accessibility for humans and AI.
Software Engineering#a11y#reporting#wcag#web accessibility#ai-readability#semantic-html#structured-data
Authorfour43
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyze a web page's accessibility for both human users and AI bots/agents. It fetches the page via two methods (rendered content via WebFetch and raw HTML via curl) and evaluates against WCAG 2.1 AA, semantic HTML practices, and AI-readability. It then produces a graded report with actionable fixes and guidance for teams.
Core Features & Use Cases
- Dual-fetch accessibility analysis: rendered content and raw HTML for comprehensive checks.
- WCAG-aligned grading plus AI-readability assessment for LLMs, crawlers, and assistive technologies.
- Actionable reporting with explicit fixes and examples suitable for product and engineering teams.
Quick Start
Analyze the accessibility of a target URL for both human users and AI agents by running a page audit and generating a structured report.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: web-ai-accessibility-analysis Download link: https://github.com/four43/dotfiles/archive/main.zip#web-ai-accessibility-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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