agentmods.dev

accessibility-tester

accessibility-tester is an agent for Claude Code from tan-yong-sheng/ai-vision-mcp. It costs 34 tokens per session (2,838 once invoked), scanned A, original, MIT.

A specialist review service for checking whether websites and digital products work for people with disabilities. It assesses WCAG accessibility standards, assistive technologies such as screen readers, and keyboard use.

In plain words
What is it for?
It helps review keyboard navigation, focus, HTML structure, alternative text, colour contrast, forms, screen-reader support, motion preferences, and responsive behaviour.
Why use it?
It helps identify barriers that automated checks or visual reviews may miss.

Agent for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: model in frontmatter; mentions subagents; $skill-name invocation.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the design-eval plugin — 5 skills, 5 commands, 4 agents shipped together

not rated 78repo +1 5mo ago A scan 34 tokens original MIT

Good fit It helps review keyboard navigation, focus, HTML structure, alternative text, colour contrast, forms, screen-reader support, motion preferences, and responsive behaviour.

Compare 6 agents from other repositories ↓
View source ↗ tan-yong-sheng/ai-vision-mcp
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add tan-yong-sheng/ai-vision-mcp
Claude Code
/plugin install design-eval

Made for: Claude Code.

Or install design-eval, the plugin that ships this one along with the rest of its 5 skills, 5 commands, 4 agents.

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 accessibility-tester

README.md
[![agentmods](https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/accessibility-tester/github.svg)](https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/accessibility-tester)
Your own site
<a href="https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/accessibility-tester"><img src="https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/accessibility-tester/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 accessibility-tester

Your own site · 80×15
<a href="https://agentmods.dev/agents/tan-yong-sheng/ai-vision-mcp/accessibility-tester"><img src="https://agentmods.dev/badge/agents/tan-yong-sheng/ai-vision-mcp/accessibility-tester.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 34 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,838 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.
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 $0.00034 $0.02838
Opus 5 $0.00017 $0.01419
Sonnet 5 $0.00007 $0.00568
Haiku 4.5 $0.00003 $0.00284

Measured 11d ago against content hash 6df60b7b2d14, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

accessibility-tester 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 11d 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.

plugins/design-eval/agents/accessibility-tester.md · 283 lines

How it starts

The opening of the file, as written. The whole thing — 283 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Accessibility Tester Agent

Senior accessibility testing specialist with deep expertise in WCAG 2.1/3.0 standards, assistive technologies, and inclusive design principles. Focuses on creating universally accessible digital experiences across visual, auditory, motor, and cognitive accessibility dimensions.

Responsibilities

  • Analyzes designs for WCAG 2.1/3.0 compliance across all perceivable, operable, understandable, and robust dimensions
  • Assesses assistive technology support (screen readers: NVDA, JAWS, VoiceOver, Narrator; voice control; switch control)
  • Validates keyboard navigation, focus management, semantic HTML, ARIA patterns, form accessibility
  • Identifies accessibility barriers and explains impact on users with disabilities
  • Evaluates color contrast, text alternatives, motion preferences, responsive behavior
  • Supports both compliance-focused (WCAG 2.1) and outcome-focused (WCAG 3.0) assessment paradigms
  • Provides remediation code examples with testing verification steps
  • Suggests accessible design patterns and alternative solutions

Execution Flow

  1. Parse accessibility parameters from command arguments

    • Extract --imageSource (URL or local file)
    • Extract --mode (quick or deep, default: deep)
    • Extract --level (A/AA/AAA)
    • Extract --wcag-version (2.1/3.0)
    • Extract optional credentials for login: --email, --password
    • Extract optional --userPrompt for additional focus
    • Extract optional --design-system (path to DESIGN.md, optional)
    • Determine WCAG criteria scope based on level and version
    • Verify API credentials for ai-vision (if mode=deep)

  2. Mode Selection

    Mode: quick (axe-core automated scan)

    • Fast, automated accessibility scan using axe-core
    • No API calls required
    • No dependencies on ai-vision CLI
    • Results: immediate JSON + markdown report
    • Best for: quick feedback, catching low-hanging fruit, CI/CD pipelines

    Mode: deep (axe-core + ai-vision analysis)

    • Run axe-core first to catch automated issues
    • Send findings + screenshots to ai-vision for deeper analysis
    • ai-vision provides context, remediation code, design patterns
    • Results: combined report (automated + AI-enhanced)
    • Best for: comprehensive audits, design-aware remediation, detailed guidance

Read the full file on GitHub · 283 lines

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. 11d ago First seen · 283 lines · 34 tokens per session scan A 6df60b7b2d14

Subscribe to this mod's changes

accessibility-tester is an agent published in the GitHub repository tan-yong-sheng/ai-vision-mcp (78 stars, last pushed 5mo ago), licensed MIT. It adds 34 tokens to every session and 2,838 once invoked, about $0.0002 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 2026-08-30.

Testing
Related

Other agents, from other repositories

project-implementer

Implementation specialist - executes tasks from plans with TDD methodology, writes tests, and validates acceptance criteria. Use for executing phased implementation plans generated by attune:plan.

athola/claude-night-market · 38 tokens

sdd-init

Initialize project SDD context, testing capabilities, and skill registry.

Gentleman-Programming/gentle-pi · 17 tokens

python-pro

Write idiomatic Python code with advanced features like decorators, generators, and async/await. Optimizes performance, implements design patterns, and ensures comprehensive testing. Use PROACTIVELY for Python refactoring, optimization, or complex Python features.

echoVic/blade-code · 51 tokens

test-engineer

QA engineer operating on the "Prove-It" principle — if it works, prove it with a test. Use when writing tests for a new feature, filling coverage gaps, or validating that a bug fix won't regress. Can read, write and edit test files. Dispatch with Task tool for isolated test work.

felvieira/claude-skills-fv · 66 tokens

test-writer

Use this agent when the guild needs unit or integration tests written for implemented code. The test-writer implements the test-planner's test plan — reading the plan's Changed Files Inventory instead of re-analyzing the codebase — then writes and runs the tests. Spawned by the check-in skill when a test-writing task…

HirogaKatageri/hirokata · 77 tokens

implement-test-diversifier

Generates test suites from 4 different testing perspectives for comprehensive coverage.

eai-support/eai-gofer · 19 tokens