accesslint-audit

accesslint-audit is a skill for Claude Code from lingxling/awesome-skills-cn. It costs 75 tokens per session (1,710 once invoked), scanned A, a copy of accesslint-audit, MIT.

An accessibility auditor and fixer for websites and codebases, based on WCAG 2.2, the international guidelines for making web content usable by people with disabilities. It can either report problems or audit, edit, and verify fixes.

In plain words
What is it for?
Use it to inspect live pages or source code, produce a prioritised accessibility report, apply fixes, and check that fixes worked.
Why use it?
It helps find issues that can prevent people from using a page and separates reporting work from changes that require human judgment.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the agentic-awesome-skills-claude plugin — 36 skills shipped together

Good fit Use it to inspect live pages or source code, produce a prioritised accessibility report, apply fixes, and check that fixes worked.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lingxling/awesome-skills-cn/accesslint-audit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lingxling/awesome-skills-cn --skill accesslint-audit
Clone the repo
git clone --depth 1 https://github.com/lingxling/awesome-skills-cn

Made for: Claude Code.

Or install agentic-awesome-skills-claude, the plugin that ships this one along with the rest of its 36 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for accesslint-audit

README.md
[![agentmods](https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/accesslint-audit/github.svg)](https://agentmods.dev/skills/lingxling/awesome-skills-cn/accesslint-audit)
Your own site
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/accesslint-audit"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/accesslint-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for accesslint-audit

Your own site · 80×15
<a href="https://agentmods.dev/skills/lingxling/awesome-skills-cn/accesslint-audit"><img src="https://agentmods.dev/badge/skills/lingxling/awesome-skills-cn/accesslint-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,710 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.01710
Opus 5 $0.00037 $0.00855
Sonnet 5 $0.00015 $0.00342
Haiku 4.5 $0.00007 $0.00171

Measured 12d ago against content hash bb18c5156d75, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

accesslint-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to accesslint-audit — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

antigravity-awesome-skills/plugins/agentic-awesome-skills-claude/skills/accesslint-audit/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You audit accessibility and optionally fix what's broken.

When to Use

  • Use this skill when the task matches this description: Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits.

Pick a mode from the user's intent

  • Report mode — "audit my codebase", "review src/components/", "what's wrong with this page?", "give me an a11y report". You audit + write a report. You do not edit files.
  • Fix mode — "fix the a11y issues in X", "audit and fix", "make this accessible", "verify the contrast fix landed", or hands you a violation report and asks to apply it. You audit → edit → verify.

If unsure, ask. Don't default-to-fix when the user only asked for an audit.

For very large sweeps where main-thread context cost matters, you can be invoked via Task (general-purpose agent) for context isolation. The recipe is the same either way.

Picking a flow

Three flows, in order of preference.

  1. audit_live — try first for any URL. Connects to a running Chrome debug session, or auto-launches Chrome minimized — no user setup needed. Single call; IIFE bytes don't enter your context.
  2. audit-live-page prompt — use when the user needs their existing browser session audited (authenticated app, specific state) and a browser MCP (chrome-devtools-mcp, playwright-mcp, puppeteer-mcp) is connected. Invoke via Skill with mode: "fix" or mode: "plan".
  3. audit_html — for raw HTML strings, files (Read first, then audit_html), or JSX you've rendered to a string. Pair with audit_diff({ html }) for fix-mode verification.

For non-URL targets, skip straight to flow 3. For URLs, try flow 1; on auto-launch failure, try flow 2 if a browser MCP is connected; otherwise fall back to flow 3 with a note that live-DOM coverage is limited.

Read the full file on GitHub · 116 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 116 lines · 75 tokens per session scan A bb18c5156d75

Subscribe to this mod's changes

accesslint-audit is a skill published in the GitHub repository lingxling/awesome-skills-cn (281 stars, last pushed 1mo ago), licensed MIT. It adds 75 tokens to every session and 1,710 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to accesslint-audit, differing in 0 lines, and is treated as a copy.

Related

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