screen-reader-lab

screen-reader-lab is a skill for Claude Code, Codex from Community-Access/accessibility-agents. It costs 19 tokens per session (701 once invoked), scanned A, original, MIT.

An educational screen-reader simulator that reads HTML or JSX and narrates what assistive technology may announce. It models reading order, keyboard Tab movement, headings, and form controls.

In plain words
What is it for?
Use it to inspect accessible names, simulate navigation, find focus traps or unreachable controls, and identify heading or form-label problems.
Why use it?
It helps developers understand the experience of people who navigate interfaces with a screen reader, without requiring immediate access to a real screen reader.

Skill for Claude CodeCodex

Written for Claude Code and Codex: disable-model-invocation in frontmatter, but also agents/openai.yaml present.

Part of the accessibility-agents plugin — 108 skills, 6 hooks shipped together

Good fit Use it to inspect accessible names, simulate navigation, find focus traps or unreachable controls, and identify heading or form-label problems.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/community-access/accessibility-agents/screen-reader-lab
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 Community-Access/accessibility-agents --skill screen-reader-lab
Clone the repo
git clone --depth 1 https://github.com/Community-Access/accessibility-agents

Made for: Claude Code, Codex.

Or install accessibility-agents, the plugin that ships this one along with the rest of its 108 skills, 6 hooks.

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 screen-reader-lab

README.md
[![agentmods](https://agentmods.dev/badge/skills/community-access/accessibility-agents/screen-reader-lab/github.svg)](https://agentmods.dev/skills/community-access/accessibility-agents/screen-reader-lab)
Your own site
<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.

agentmods 80×15 button for screen-reader-lab

Your own site · 80×15
<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>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 701 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00019 $0.00701
Opus 5.5 $0.00008 $0.00280
Sonnet 5.5 $0.00004 $0.00140
Haiku 4.5 $0.00002 $0.00070

Measured 29d ago against content hash ffded483585a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

skills/screen-reader-lab/SKILL.md · 86 lines

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:

  1. Role — semantic role from element type or role attribute
  2. Accessible name — computed via the Accessible Name Computation algorithm
  3. State — aria-expanded, aria-checked, aria-disabled, aria-pressed, etc.
  4. Description — aria-describedby content 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:

  1. aria-labelledby — concatenate text of referenced elements
  2. aria-label — use directly
  3. Native label association — <label for="id">, wrapping <label>
  4. Element content — text content for <button>, <a>, headings
  5. title attribute — fallback
  6. placeholder — 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

Read the full file on GitHub · 86 lines

Files

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.

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. 29d ago Changed · +54 lines · -28 tokens per session ffded483585a
  2. 1mo ago First seen · 32 lines · 47 tokens per session scan A e97b7fb67264

Subscribe to this mod's changes

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.

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