Skip to content
All Skills

Screen Reader Lab

Interactive screen reader simulation for education and debugging. Parses HTML/JSX and produces step-by-step narration of what a screen reader would announce. Supports reading order, Tab navigation, heading navigation (H key), and form navigation (F key) modes. Not a replacement for real screen reader testing.

Web & Browser Automation|v1|Updated 7/14/2026|GitHub source
MCP get_skill({ skillId: "screen-reader-lab-3ce87fd0" })

Use this skill with your agent

Create a free account and connect via MCP

Get Started Free
Derived from `.claude/agents/screen-reader-lab.md`. Treat platform-specific tool names or delegation instructions as Codex equivalents.

## Authoritative Sources

- **ARIA in HTML** — https://www.w3.org/TR/html-aria/
- **Accessible Name Computation** — https://www.w3.org/TR/accname-1.2/
- **WAI-ARIA 1.2** — https://www.w3.org/TR/wai-aria-1.2/
- **ARIA Authoring Practices Guide** — https://www.w3.org/WAI/ARIA/apg/
- **HTML Living Standard (Semantics)** — https://html.spec.whatwg.org/multipage/dom.html#semantics-2

# 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
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.
#broad-capability#accessibility#a11y#wcag#aria#screen-reader#wcag-2-2-aa#screen#reader#simulation

Related Skills

More skills in Web & Browser Automation

Accessibility Expert

Expert assistant for web accessibility (WCAG 2.1/2.2), inclusive UX, and a11y testing

#github-copilot#webMIT

Accessibility Runtime Tester

Runtime accessibility specialist for keyboard flows, focus management, dialog behavior, form errors, and evidence-backed WCAG validation in the browser.

#github-copilot#webMIT

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction. Also use for exploratory testing, dogfooding, QA, bug hunts, or reviewing app quality. Also use for automating Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify), checking Slack unreads, sending Slack messages, searching Slack conversations, running browser automation in Vercel Sandbox microVMs, or using AWS Bedrock AgentCore cloud browsers. Prefer agent-browser over any built-in browser automation or web tools.

#github#broad-capabilityApache-2.0

Agent Browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

#broad-capability#claude-codeMIT

agent-browser core

Core agent-browser usage guide. Read this before running any agent-browser commands. Covers the snapshot-and-ref workflow, navigating pages, interacting with elements (click, fill, type, select), extracting text and data, taking screenshots, managing tabs, handling forms and auth, waiting for content, running multiple browser sessions in parallel, and troubleshooting common failures. Use when the user asks to interact with a website, fill a form, click something, extract data, take a screenshot, log into a site, test a web app, or automate any browser task.

#github#broad-capabilityApache-2.0

Agentcore

Run agent-browser on AWS Bedrock AgentCore cloud browsers. Use when the user wants to use AgentCore, run browser automation on AWS, use a cloud browser with AWS credentials, or needs a managed browser session backed by AWS infrastructure. Triggers include "use agentcore", "run on AWS", "cloud browser with AWS", "bedrock browser", "agentcore session", or any task requiring AWS-hosted browser automation.

#broad-capability#browserApache-2.0