Scan Code Accessibility Figma logo

Scan Code Accessibility Figma

Organization
southleft
scan-code-accessibility-figma

Scan generated/authored HTML for accessibility violations with axe-core (Deque) running over JSDOM — structural and semantic rules: ARIA attributes and roles, accessible names, alt text, form labels, heading order, landmarks, semantic HTML, tabindex, duplicate IDs, lang attribute, and ~50 more. Use on the CODE side of a Figma-to-code workflow: triggers 'scan this HTML for accessibility', 'run axe on my component', 'check the generated code for a11y', 'axe-core scan', 'accessibility lint my markup', 'WCAG check on code', 'is this HTML accessible'. This is a standalone Node script — NO Figma connection required. Visual rules (color-contrast, focus-visible, link-in-text-block, target-size) are DISABLED because JSDOM has no layout — use lint-design-figma for visual a11y on the design side. The two together give full design+code coverage.

Overview

Publishersouthleft
Repositoryskills-for-figma
Skill namescan-code-accessibility-figma
Stars
20
Forks
1
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by southleft on GitHub. Read the source before you install it.

Installation

Install the Scan Code Accessibility Figma AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/southleft/skills-for-figma/tree/main/skills/scan-code-accessibility-figma
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/southleft/skills-for-figma.git /tmp/skills-for-figma
mkdir -p .claude/skills
cp -r /tmp/skills-for-figma/skills/scan-code-accessibility-figma .claude/skills/scan-code-accessibility-figma
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Scan Code Accessibility Figma in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Scan Code Accessibility Figma on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Scan Code Accessibility Figma is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

scan-code-accessibility-figma — axe-core + JSDOM scan of HTML

Run axe-core (Deque's accessibility engine) against an HTML string using JSDOM. This is the code side of the accessibility story: it checks the markup your Figma-to-code workflow produced. It pairs with lint-design-figma (design side) to cover both ends.

Not a use_figma skill. This runs in plain Node — no Figma file, no Plugin API. axe-core owns the rule database; this skill never invents rules.

Skill boundaries

  • Design-side visual a11y (contrast, focus rings, target size, color-only) → use lint-design-figma. Those rules are intentionally disabled here.
  • Per-component design scorecard → use audit-accessibility-figma.
  • Design-vs-code parity → use check-design-parity-figma (feed it the codeSpec.accessibility this scan can emit).
  • This skill does not use use_figma, so the figma-use conventions do not apply.

Why visual rules are disabled

JSDOM provides a DOM but no layout engine and no computed visual styles — there is nothing to measure pixels or rendered colors against. So axe's visual rules would always be "incomplete" or wrong. The scan disables them explicitly:

  • color-contrast and color-contrast-enhanced — need rendered colors.
  • link-in-text-block — needs surrounding text layout.
  • target-size — needs rendered box dimensions.

Everything structural/semantic (ARIA, roles, names, labels, alt, headings, landmarks, lang, dup IDs, tabindex, ~50 rules total) runs normally. For the visual half, run lint-design-figma on the design.

Usage

  1. Install deps once (in this skill's scripts/ dir):
    bash
    cd scripts && npm install
    Installs axe-core and jsdom.
  2. Run the scan against an HTML file or an inline string:
    bash
    node scan.mjs path/to/component.html
    node scan.mjs --html '<button>Save</button>'
    Optional flags:
    • --tags wcag22aa — filter to a WCAG tag set (wcag2a, wcag2aa, wcag21aa, wcag22aa, best-practice). Repeatable / comma-separated.
    • --context '#my-component' — scope the scan to a CSS selector.
    • --include-passing — include counts of passing / incomplete / inapplicable rules.
    • --map-to-codespec — also emit a codeSpecAccessibility object (semantic element, role, aria-label, focusVisible, keyboard interactions, disabled/error support) ready to drop into check-design-parity-figma's codeSpec.accessibility.
  3. Read the JSON on stdout: violations grouped by rule with severity (critical/warning/info from axe impact), wcagTags, helpUrl, and up to 10 offending nodes each, plus a summary.

A bare HTML fragment is auto-wrapped in <!DOCTYPE html><html lang="en">…<body>… before scanning.

Output shape

jsonc
{
  "engine": "axe-core", "version": "4.x", "mode": "jsdom-structural",
  "note": "JSDOM mode: structural/semantic checks only. Visual rules disabled — use lint-design-figma.",
  "categories": [ { "rule": "button-name", "severity": "critical", "count": 1, "description": "...", "wcagTags": ["wcag2a","wcag412"], "helpUrl": "...", "nodes": [ { "html": "...", "target": ["button"], "failureSummary": "..." } ] } ],
  "summary": { "critical": 1, "warning": 0, "info": 0, "total": 1 }
}

Severity mapping: axe critical/serious → critical, moderate → warning, minor → info.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Scan Code Accessibility Figma AI skill do?

Scan generated/authored HTML for accessibility violations with axe-core (Deque) running over JSDOM — structural and semantic rules: ARIA attributes and roles, accessible names, alt text, form labels, heading order, landmarks, semantic HTML, tabindex, duplicate IDs, lang attribute, and ~50 more. Use on the CODE side of a Figma-to-code workflow: triggers 'scan this HTML for accessibility', 'run axe on my component', 'check the generated code for a11y', 'axe-core scan', 'accessibility lint my markup', 'WCAG check on code', 'is this HTML accessible'. This is a standalone Node script — NO Figma...

Why use Scan Code Accessibility Figma on TypingMind?

Because you install it once and use it with any model. Scan Code Accessibility Figma is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Scan Code Accessibility Figma in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/southleft/skills-for-figma/tree/main/skills/scan-code-accessibility-figma. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Scan Code Accessibility Figma?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Scan Code Accessibility Figma?

As many as you like. As long as a model supports skills, you can use Scan Code Accessibility Figma with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Scan Code Accessibility Figma AI skill free?

Yes. It is published on GitHub by southleft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇