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Wcag Audit Perceivable Text Deep

Checked
jkense·vlatest·frontend·MIT

Analyzes text content for WCAG perceivability conformance, identifying complex accessibility issues beyond basic contrast checks.

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 jkense/agent-skills-wcag --skill wcag-audit-perceivable-text-deep -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

jkense

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 jkense/agent-skills-wcag at 7fc6eec6ad.

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

Commit
7fc6eec6ad
Manifest
skills/wcag-audit-perceivable-text-deep/SKILL.md
Scanned
1 file, 25 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

This skill performs a deep audit of text content against WCAG (Web Content Accessibility Guidelines) 1.4.3, specifically focusing on contrast and readability requirements for perceivable text. It analyzes the color and font size combinations to ensure sufficient contrast ratios are met, and assesses overall text legibility based on established guidelines. The goal is to identify potential accessibility issues that could hinder users with visual impairments.

When to use it

  • Website Content Review: Before publishing new website content or redesigning existing pages, use this skill to proactively check for perceivable text errors.
  • Document Accessibility Check: Evaluate the accessibility of documents like PDFs or Word files before distribution.
  • Marketing Materials Audit: Ensure marketing materials (e.g., brochures, social media graphics) meet basic accessibility standards.
  • Accessibility Remediation: Identify specific areas where text contrast needs improvement to address existing accessibility concerns.

Key capabilities

  • WCAG 1.4.3 compliance checks
  • Contrast ratio analysis
  • Text legibility assessment
  • Identification of perceivable text errors

Example prompts

  • "Audit this website content for WCAG 1.4.3 contrast issues: [paste website content here]"
  • "Check the readability and contrast of the following text: [paste text sample]"
  • "Analyze this PDF document for perceivable text accessibility problems."

Tips & gotchas

This skill requires access to the text content being audited, either directly or via a URL. The accuracy of the audit depends on the quality and completeness of the provided text; complex formatting might require manual review alongside the automated assessment.