Simulate screen reader narration of HTML or JSX, step by step.

MITAuto-check passedFrontend & Design

Install Screen Reader Lab

skills CLI
$ npx skills add Community-Access/accessibility-agents --skill screen-reader-lab -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Community-Access/accessibility-agents screen-reader-lab --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Community-Access/accessibility-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/screen-reader-lab .claude/skills/screen-reader-lab && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
screen-reader-lab
GitHub stars
423
Token cost
~774 tokens
SKILL.md length
377 words
Files
2
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Simulate screen reader narration of HTML or JSX, step by step.

  • Works in 4 steps: Input → Parse and Simulate → Findings → …
  • Tasks that involve Accessibility
  • SKILL.md covers Screen Reader Lab, Simulation Modes, Accessible Name Computation and Process, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Screen Reader Lab is an agent skill from Community-Access/accessibility-agents. Simulate screen reader narration of HTML or JSX, step by step.

Its SKILL.md is about 770 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Frontend & Design, covering Accessibility. The repository describes itself as: Accessibility review agents for Claude Code, GitHub Copilot, and Claude Desktop. Eleven specialists that enforce WCAG 2.2 AA compliance so AI coding tools stop generating… The licence is MIT.

When your agent uses it

  • Tasks that involve Accessibility

Example prompts

  • “/screen-reader-lab”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Input
  2. Parse and Simulate
  3. Findings
  4. Follow-Up

What it can do on your machine

Read from SKILL.md and the folder at commit decf6ba. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Screen Reader Lab loads about 774 tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 377 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~774

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Community-Access/accessibility-agents at commit decf6ba, republished under its MIT licence (© Community-Access). 377 words, ~774 tokens.

Download SKILL.mdSave it as .claude/skills/screen-reader-lab/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
screen-reader-lab
description
Simulate screen reader narration of HTML or JSX, step by step.
license
MIT
disable-model-invocation
true
metadata.tier
specialist
metadata.domain
web
metadata.output
guidance
metadata.effort
medium
metadata.title
Screen Reader Lab

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]


Show full SKILL.md (120 more words)Show less

Process

Phase 1 — Input

Ask the user what to simulate (file path, code snippet) and which mode.

Phase 2 — Parse and Simulate

Read the file, parse HTML/JSX, build the accessibility tree, walk in selected mode.

Phase 3 — Findings

Report elements with no accessible name, ARIA issues, tab order problems, heading hierarchy issues, form labeling gaps, and recommended fixes.

Phase 4 — Follow-Up

Offer to run a different mode, simulate a different component, or delegate to aria-specialist or testing-coach.

Output contract

Answer the question. Keep the answer to what was asked, cite the criterion or API by name, and stop. Do not append a checklist that was not requested.

Shared rules, dispatch contract and schemas: skills/a11y-core/SKILL.md. Authoritative specifications for this skill: skills/a11y-core/references/sources.md.

© Community-Access, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/screen-reader-lab of Community-Access/accessibility-agents.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit decf6ba

Compare with similar skills

Screen Reader Lab next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Screen Reader Lab compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Screen Reader Lab this skillCommunity-Access/accessibility-agents423—~774Automated safety check: PassMIT
Web Interface Guidelines Reviewervercel-labs/openreview1.7k97 repos~308Automated safety check: PassNone
Accessibility Reviewmarkmead/hyperui12k1 repos~1.1kAutomated safety check: PassMIT
Web Animation DesignbaptisteArno/typebot.io11k2 repos~2.7kAutomated safety check: PassCustom licence
Accessibility Fixeribelick/ui-skills9.5k4 repos~1.2kAutomated safety check: PassMIT
Wcag Audit PatternsvmDeshpande/ai-agent-automation17811 repos~610Automated safety check: PassApache-2.0

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Questions about Screen Reader Lab

What does Screen Reader Lab do?

Simulate screen reader narration of HTML or JSX, step by step. Screen Reader Lab is an agent skill from Community-Access/accessibility-agents. Simulate screen reader narration of HTML or JSX, step by step.

When should I use Screen Reader Lab?

Screen Reader Lab fits situations like: tasks that involve Accessibility.

How do I install Screen Reader Lab in Claude Code?

Run `npx skills add Community-Access/accessibility-agents --skill screen-reader-lab -a claude-code`. Or copy the skill folder (skills/screen-reader-lab in Community-Access/accessibility-agents) into .claude/skills/screen-reader-lab in your project. Claude Code loads it when a task matches its description.

How do I install Screen Reader Lab in Codex?

Run `npx skills add Community-Access/accessibility-agents --skill screen-reader-lab -a codex`. Or copy the skill folder (skills/screen-reader-lab in Community-Access/accessibility-agents) into .agents/skills/screen-reader-lab in your project. Codex loads it when a task matches its description.

Can I use Screen Reader Lab in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Community-Access/accessibility-agents --skill screen-reader-lab -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/screen-reader-lab, .gemini/skills/screen-reader-lab, .github/skills/screen-reader-lab and .opencode/skills/screen-reader-lab in your project.

What does Screen Reader Lab need to run?

SKILL.md names no scripts, command-line tools or credentials: Screen Reader Lab is instructions for the agent only.

Does Screen Reader Lab access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Screen Reader Lab safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Screen Reader Lab use?

Screen Reader Lab is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Screen Reader Lab use?

About 774 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Screen Reader Lab?

Skills that share tags, products or a category with Screen Reader Lab: Web Interface Guidelines Reviewer (vercel-labs/openreview, 1.7k stars), Accessibility Review (markmead/hyperui, 12k stars), Web Animation Design (baptisteArno/typebot.io, 11k stars) and Accessibility Fixer (ibelick/ui-skills, 9.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Screen Reader Lab?

Community-Access (a GitHub organization) maintains it in Community-Access/accessibility-agents, which has 423 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on September 23, 2026.

Source: Community-Access/accessibility-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.