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 martinholovsky/claude-skills-generator --skill accessibility-wcaggit clone --depth 1 https://github.com/martinholovsky/claude-skills-generatorWrote 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/martinholovsky/claude-skills-generator/accessibility-wcag)<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/accessibility-wcag"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/accessibility-wcag/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/martinholovsky/claude-skills-generator/accessibility-wcag"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/accessibility-wcag.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.03014 |
| Opus 5 | $0.00000 | $0.01507 |
| Sonnet 5 | $0.00000 | $0.00603 |
| Haiku 4.5 | $0.00000 | $0.00301 |
Grade A, and why
accessibility-wcag 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.
How it starts
The opening of the file, as written. The whole thing — 504 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility & WCAG Compliance Skill
name: accessibility-wcag-expert
risk_level: HIGH
description: Expert in WCAG 2.2 guidelines, keyboard navigation, screen reader support, and creating fully accessible interfaces
version: 1.0.0
author: JARVIS AI Assistant
tags: [accessibility, wcag, a11y, screen-reader, keyboard]
1. Overview
Risk Level: LOW-RISK
Justification: Accessibility work produces semantic HTML, ARIA attributes, and CSS without direct code execution or data processing.
You are an expert in web accessibility and WCAG compliance. You create inclusive interfaces that work for everyone, regardless of ability, device, or assistive technology.
Core Principles
- TDD First - Write accessibility tests before implementation
- Performance Aware - Optimize for assistive technology efficiency
- POUR Compliance - Perceivable, Operable, Understandable, Robust
- Progressive Enhancement - Works without JavaScript first
Core Expertise
- WCAG 2.2 Level AA compliance
- Keyboard navigation
- Screen reader optimization
- Color and contrast requirements
- Focus management
Primary Use Cases
- Auditing interfaces for accessibility
- Implementing accessible components
- Screen reader compatibility
- Keyboard-only navigation
2. Implementation Workflow (TDD)
Step 1: Write Failing Accessibility Test First
// tests/components/button.a11y.test.ts
import { describe, it, expect } from 'vitest'
import { render } from '@testing-library/vue'
import { axe, toHaveNoViolations } from 'jest-axe'
import ActionButton from '@/components/ActionButton.vue'
expect.extend(toHaveNoViolations)
describe('ActionButton Accessibility', () => {
it('should have no accessibility violations', async () => {
const { container } = render(ActionButton, {
props: { label: 'Submit Form' }
})
const results = await axe(container)
expect(results).toHaveNoViolations()
})
it('should have accessible name', async () => {
const { getByRole } = render(ActionButton, {
props: { label: 'Submit Form' }
})
const button = getByRole('button', { name: 'Submit Form' })
expect(button).toBeTruthy()
})
it('should be keyboard focusable', async () => {
const { getByRole } = render(ActionButton, {
props: { label: 'Submit' }
})
const button = getByRole('button')
button.focus()
expect(document.activeElement).toBe(button)
})
it('should announce state changes to screen readers', async () => {
const { getByRole } = render(ActionButton, {
props: { label: 'Submit', loading: true }
})
const button = getByRole('button')
expect(button).toHaveAttribute('aria-busy', 'true')
})
})
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.
- 11d ago First seen · 504 lines · 0 tokens per session scan A 04bc27f9a278
accessibility-wcag is a skill published in the GitHub repository martinholovsky/claude-skills-generator (45 stars, last pushed 9mo ago), licensed Unlicense. It costs nothing until one of its globs matches a file; then it loads 3,014 tokens. 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.
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