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.
npx skills add aditya-ariosity/wcag-accessibility-mcp --skill accessibility-feedbackgit clone --depth 1 https://github.com/aditya-ariosity/wcag-accessibility-mcpWrote 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.
[](https://agentmods.dev/skills/aditya-ariosity/wcag-accessibility-mcp/accessibility-feedback)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
- Identify the target, critical user task, relevant routes/states, and supported breakpoints.
- Start the application if needed.
- Use
audit_url,audit_file, oraudit_htmlfor the stable single-viewport audit. If experimental tools are enabled,audit_matrixcan compare one wide and one narrow viewport (default 1440×900 and 390×844). - For canvas, image-heavy, or generated design work, optionally call
inspect_design_snapshotorinspect_screenshotbefore implementation to find visible-copy, target-size, naming, and contrast risks. - Call
get_wcag_checklistfor the selected conformance profile. Usewcag22aaby default; usewcag22aaaonly when the user or product requirement explicitly asks for enhanced coverage. - Read the structured results. Preserve rule ID, impact, selector, HTML snippet, computed context, W3C criterion, coverage status, and reference link.
- Group repeated failures by root cause: token, shared component, content pattern, page template, or one-off instance.
- Prioritize blockers to the critical task, then critical/serious impact, then high-reach repeated defects. Axe impact is evidence, not the entire product priority.
- Inspect source before editing. Apply the smallest semantic, component, or token-level fix that addresses the root cause.
- Rerun the same viewport and state. Run existing project tests.
- Use
compare_auditswhen a baseline report exists. Report resolved findings, unresolved automated findings, new regressions, all required manual criteria, and named manual tests.
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.
- 10d ago First seen · 79 lines · 103 tokens per session scan A 0a44d82d9504
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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