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Accessibility Checker

Checked
matteocervelli·vlatest·frontend·MIT

This Accessibility Checker analyzes content for web accessibility issues, ensuring inclusive design and wider user reach.

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 matteocervelli/llms --skill accessibility-checker --full-depth -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

matteocervelli

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 matteocervelli/llms at 1e1f2089eb.

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

Scanned
1 file, 681 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, matteocervelli-accessibility-checker, analyzes text for common accessibility issues. It identifies potential problems related to color contrast, font sizes, and other factors that could impact users with disabilities. The tool aims to improve digital content's inclusivity by providing feedback on these aspects.

When to use it

  • Website Content Review: Before publishing new website pages or blog posts, check for accessibility compliance.
  • Document Accessibility: Evaluate the accessibility of documents like PDFs or Word files before sharing them.
  • Marketing Materials: Ensure marketing emails and social media content are accessible to a wider audience.
  • Educational Resources: Verify that online learning materials meet accessibility standards for students with diverse needs.

Key capabilities

  • Accessibility analysis
  • Color contrast checks
  • Font size evaluation

Example prompts

  • "Analyze this paragraph for accessibility issues: [paste text here]"
  • "Check the color contrast of these two colors: #FFFFFF and #000000."
  • “Evaluate this document’s accessibility: [paste document content]”

Tips & gotchas

The skill's effectiveness depends on the quality and format of the input text. It is best suited for plain text or well-formatted HTML, as complex layouts may impact accuracy.