accessibility-feedback

accessibility-feedback is a skill for Claude Code, Codex from aditya-ariosity/wcag-accessibility-mcp. It costs 103 tokens per session (1,197 once invoked), scanned A, original, MIT.

An MCP server for improving websites through repeated design changes based on screenshots and saved proof files.

In plain words
What is it for?
Use it when building or refining a website and you need screenshot-based iteration and evidence of the visual changes.
Why use it?
It gives coding agents a way to compare visual results during development instead of relying only on code inspection.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when building or refining a website and you need screenshot-based iteration and evidence of the visual changes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback
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 aditya-ariosity/wcag-accessibility-mcp --skill accessibility-feedback
Clone the repo
git clone --depth 1 https://github.com/aditya-ariosity/wcag-accessibility-mcp

Made for: Claude Code, Codex.

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 accessibility-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback/github.svg)](https://agentmods.dev/skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback)
Your own site
<a href="https://agentmods.dev/skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback"><img src="https://agentmods.dev/badge/skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback/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 accessibility-feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback"><img src="https://agentmods.dev/badge/skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,197 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 original No closer match found 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 $0.00103 $0.01197
Opus 5 $0.00051 $0.00598
Sonnet 5 $0.00021 $0.00239
Haiku 4.5 $0.00010 $0.00120

Measured 10d ago against content hash 0a44d82d9504, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

accessibility-feedback 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 10d 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.

skills/accessibility-feedback/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accessibility Feedback

Use the connected wcag-accessibility MCP server to turn accessibility from a prompt reminder into a measured correction loop.

Capability boundary

The stable server can render web interfaces, run automated axe rules, calculate contrast, expose affected selectors and DOM, and suggest simple passing colors. It returns a versioned evidence envelope and level-aware profile status, but it cannot prove WCAG conformance or replace keyboard, screen-reader, zoom, reflow, motion, cognitive, and content testing.

All server tools are read-only. Code changes belong to the agent's normal edit workflow and must follow the user's authorization, diff review, and project tests.

Experimental adapters (audit_matrix, compare_audits, inspect_design_snapshot, inspect_screenshot, and browser_diagnostics) are available only when explicitly enabled with A11Y_MCP_ENABLE_EXPERIMENTAL_TOOLS=true. Always verify implementation readiness with the stable rendered DOM tools before relying on design or screenshot evidence.

Audit loop

  1. Identify the target, critical user task, relevant routes/states, and supported breakpoints.
  2. Start the application if needed.
  3. Use audit_url, audit_file, or audit_html for the stable single-viewport audit. If experimental tools are enabled, audit_matrix can compare one wide and one narrow viewport (default 1440×900 and 390×844).
  4. For canvas, image-heavy, or generated design work, optionally call inspect_design_snapshot or inspect_screenshot before implementation to find visible-copy, target-size, naming, and contrast risks.
  5. Call get_wcag_checklist for the selected conformance profile. Use wcag22aa by default; use wcag22aaa only when the user or product requirement explicitly asks for enhanced coverage.
  6. Read the structured results. Preserve rule ID, impact, selector, HTML snippet, computed context, W3C criterion, coverage status, and reference link.
  7. Group repeated failures by root cause: token, shared component, content pattern, page template, or one-off instance.
  8. Prioritize blockers to the critical task, then critical/serious impact, then high-reach repeated defects. Axe impact is evidence, not the entire product priority.
  9. Inspect source before editing. Apply the smallest semantic, component, or token-level fix that addresses the root cause.
  10. Rerun the same viewport and state. Run existing project tests.
  11. Use compare_audits when a baseline report exists. Report resolved findings, unresolved automated findings, new regressions, all required manual criteria, and named manual tests.

Read the full file on GitHub · 79 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. 10d ago First seen · 79 lines · 103 tokens per session scan A 0a44d82d9504

Subscribe to this mod's changes

accessibility-feedback is a skill published in the GitHub repository aditya-ariosity/wcag-accessibility-mcp (1 stars, last pushed 10d ago), licensed MIT. It adds 103 tokens to every session and 1,197 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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