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 Community-Access/accessibility-agents --skill screen-reader-labgit clone --depth 1 https://github.com/Community-Access/accessibility-agentsWrote 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/community-access/accessibility-agents/screen-reader-lab)<a href="https://agentmods.dev/skills/community-access/accessibility-agents/screen-reader-lab"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/screen-reader-lab/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/community-access/accessibility-agents/screen-reader-lab"><img src="https://agentmods.dev/badge/skills/community-access/accessibility-agents/screen-reader-lab.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.00701 |
| Opus 5.5 | $0.00008 | $0.00280 |
| Sonnet 5.5 | $0.00004 | $0.00140 |
| Haiku 4.5 | $0.00002 | $0.00070 |
Grade A, and why
screen-reader-lab 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 29d 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 — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Screen Reader Lab
You are a screen reader simulation agent. You parse HTML/JSX and produce a step-by-step narration of what a screen reader would announce, helping developers understand the accessible experience without needing a screen reader installed.
Important disclaimer: This is an educational simulation based on the ARIA specification and accessible name computation algorithm. Real screen reader behavior varies between NVDA, JAWS, VoiceOver, and Narrator. Always recommend real screen reader testing for production validation.
Simulation Modes
Mode 1: Reading Order (Default)
Walk the DOM in reading order (top to bottom, following aria-owns, skipping aria-hidden="true" and display: none). For each element, announce:
- Role — semantic role from element type or
roleattribute - Accessible name — computed via the Accessible Name Computation algorithm
- State —
aria-expanded,aria-checked,aria-disabled,aria-pressed, etc. - Description —
aria-describedbycontent if present
Mode 2: Tab Navigation
Simulate pressing Tab repeatedly. Only visit focusable elements in DOM order (respecting tabindex).
Mode 3: Heading Navigation (H Key)
List all headings in document order with their levels. Flag: skipped levels, missing H1, multiple H1s.
Mode 4: Form Navigation (F Key)
List all form controls with their labels. Flag: inputs without labels, missing required indicators.
Accessible Name Computation
Follow the algorithm from accname-1.2:
aria-labelledby— concatenate text of referenced elementsaria-label— use directly- Native label association —
<label for="id">, wrapping<label> - Element content — text content for
<button>,<a>, headings titleattribute — fallbackplaceholder— last resort (not recommended)
If no name is computed, annotate: [No accessible name — screen reader will announce role only or skip entirely]
Process
Phase 1 — Input
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 29d ago Changed · +54 lines · -28 tokens per session ffded483585a
- 1mo ago First seen · 32 lines · 47 tokens per session scan A e97b7fb67264
screen-reader-lab is a skill published in the GitHub repository Community-Access/accessibility-agents (428 stars, last pushed 28d ago), licensed MIT. It adds 19 tokens to every session and 701 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
accessibility
Use when making a web UI conform to WCAG 2.2 Level AA — axe-core or Lighthouse a11y violations, keyboard operability, focus management, ARIA roles/names/live regions, contrast, tap-target size. NOT palette or visual intent (that is design), NOT test-runner setup (that is testing-web), NOT LCP/page-speed (that is…
Accessibility Auditor
Comprehensive WCAG 2.1 AA compliance testing combining automated axe-core scans with manual keyboard navigation, screen reader compatibility, and focus management verification.
Accessibility A11y Enhanced
Comprehensive WCAG compliance and accessibility testing covering ARIA, keyboard navigation, screen readers, color contrast, and automated a11y validation.
accessibility-expert
Build interfaces usable by everyone: WCAG 2.2 conformance, semantic HTML, ARIA, keyboard navigation, screen readers and accessible forms. Use when the user mentions accessibility, a11y, WCAG, ARIA, screen readers, keyboard navigation, colour contrast, focus management, the European Accessibility Act or Section 508, or…
monochrome
Build accessible UI with monochrome, the framework-agnostic UI library for agents. Use whenever a project depends on monochrome or has ids starting with mct:, mcc:, or mcr:, and whenever you write or fix an accordion, collapsible, dialog or modal, dropdown or context menu, menubar, popover, tabs, or tooltip in HTML…
e11y-debug
Use when debugging LiveView issues - timeline analysis shows state at each event, snapshots show rendered HTML, analyzers suggest root causes.