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Wcag Audit Patterns

Checked
wshobson·vlatest·frontend·MIT

Helps with auditing, patterns as part of agent workflows workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add wshobson/agents --skill wcag-audit-patterns -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

wshobson

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned wshobson/agents at 46891e7e60.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
46891e7e60
Manifest
plugins/accessibility-compliance/skills/wcag-audit-patterns/SKILL.md
Scanned
2 files, 517 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The wcag-audit-patterns skill enables AI agents to perform audits based on Web Content Accessibility Guidelines (WCAG). It identifies accessibility issues in web content, such as missing alt text for images or improper color contrast. The tool provides actionable recommendations for improving compliance with WCAG standards.

When to use it

  • You need to ensure a website is accessible to users with disabilities.
  • You are preparing a site for compliance with legal accessibility requirements.
  • You want to identify and fix common accessibility issues during development or testing.
  • You're conducting an audit of third-party content for accessibility standards.

Key capabilities

  • Detects missing alt text on images
  • Identifies insufficient color contrast ratios
  • Checks for proper use of ARIA attributes
  • Evaluates keyboard navigation support
  • Provides WCAG 2.1 compliance recommendations

Example prompts

  • "Audit this webpage for WCAG 2.1 compliance."
  • "Check the image alt text on this site and suggest improvements."
  • "Identify accessibility issues in the header section of this HTML document."

Tips & gotchas

  • Ensure the AI agent has access to the full HTML content of the page being audited for accurate results.
  • While it identifies common issues, manual review is still recommended for complex or nuanced compliance needs.