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Wcag Audit Perceivable Media Deep

Checked
jkense·vlatest·frontend·MIT

Analyzes video media accessibility, providing detailed WCAG perceivability recommendations (audio descriptions, captions, visual cues) for deep remediation.

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-media-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-media-deep/SKILL.md
Scanned
1 file, 23 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 video and media files against the Web Content Accessibility Guidelines (WCAG) focusing on perceivability. It identifies issues related to captions, audio descriptions, color contrast, and other factors that impact how users with disabilities experience multimedia content. The tool aims to provide detailed reports and actionable recommendations for remediation.

When to use it

  • Website accessibility audits: Evaluate a website's video content for WCAG compliance before launch or during maintenance.
  • Educational resource creation: Ensure online courses and training materials are accessible to all learners, including those with visual or auditory impairments.
  • Marketing campaign review: Check promotional videos and advertisements to avoid legal issues and reach a wider audience.
  • Internal video production: Audit internal training videos or presentations for accessibility before distribution within an organization.

Key capabilities

  • WCAG perceivability audit
  • Caption analysis
  • Audio description assessment
  • Color contrast evaluation
  • Detailed reporting

Example prompts

  • "Audit this video file [video_url] against WCAG 2.1 AA for perceivable media."
  • "Analyze the captions in this video [video_file] and identify any errors or missing content."
  • "Check the color contrast of visual elements in this video [video_file]."

Tips & gotchas

The skill requires a valid URL or file path to the video/media asset. Be aware that complex videos with advanced features might require manual review alongside the automated audit results for complete accuracy.