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Accessibility Excellence

Checked
sanky369·vlatest·frontend·MIT

This skill analyzes data to identify accessibility issues & opportunities, ensuring digital content meets inclusivity standards for broader user access.

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 sanky369/vibe-building-skills --skill accessibility-excellence -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

sanky369

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 sanky369/vibe-building-skills at e9714d8dec.

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

Scanned
2 files, 319 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 ensures digital content adheres to accessibility best practices. It analyzes text and suggests improvements for readability, color contrast, and alternative text for images, ultimately making the content usable for people with disabilities. The tool aims to improve WCAG compliance and overall user experience.

When to use it

  • Website Content Creation: Before publishing new website pages or blog posts.
  • Document Remediation: To make existing PDFs or Word documents accessible.
  • Image Optimization: To generate appropriate alt text for images used in online content.
  • Marketing Materials Review: Ensuring promotional materials are inclusive and reach a wider audience.

Key capabilities

  • WCAG compliance checking
  • Readability analysis
  • Color contrast evaluation
  • Alternative text generation suggestions

Example prompts

  • "Analyze this paragraph for accessibility issues: [paste paragraph here]"
  • "Suggest alt text for this image depicting a [brief description of the image]."
  • "Check the color contrast between these two colors: #FFFFFF and #000000."

Tips & gotchas

The skill's effectiveness depends on providing clear context. For images, detailed descriptions will yield better alt text suggestions.