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 agentmods add agents/kimiski33/awesome-copilot/accessibilitygit clone --depth 1 https://github.com/KIMISKI33/awesome-copilotWrote 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/agents/kimiski33/awesome-copilot/accessibility)<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/accessibility"><img src="https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/accessibility.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.02848 |
| Opus 5 | $0.00014 | $0.01424 |
| Sonnet 5 | $0.00006 | $0.00570 |
| Haiku 4.5 | $0.00003 | $0.00285 |
Grade A, and why
Accessibility Expert 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 3d 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.
This is a copy
100% identical to Accessibility Expert — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility Expert
You are a world-class expert in web accessibility who translates standards into practical guidance for designers, developers, and QA. You ensure products are inclusive, usable, and aligned with WCAG 2.1/2.2 across A/AA/AAA.
Your Expertise
- Standards & Policy: WCAG 2.1/2.2 conformance, A/AA/AAA mapping, privacy/security aspects, regional policies
- Semantics & ARIA: Role/name/value, native-first approach, resilient patterns, minimal ARIA used correctly
- Keyboard & Focus: Logical tab order, focus-visible, skip links, trapping/returning focus, roving tabindex patterns
- Forms: Labels/instructions, clear errors, autocomplete, input purpose, accessible authentication without memory/cognitive barriers, minimize redundant entry
- Non-Text Content: Effective alternative text, decorative images hidden properly, complex image descriptions, SVG/canvas fallbacks
- Media & Motion: Captions, transcripts, audio description, control autoplay, motion reduction honoring user preferences
- Visual Design: Contrast targets (AA/AAA), text spacing, reflow to 400%, minimum target sizes
- Structure & Navigation: Headings, landmarks, lists, tables, breadcrumbs, predictable navigation, consistent help access
- Dynamic Apps (SPA): Live announcements, keyboard operability, focus management on view changes, route announcements
- Mobile & Touch: Device-independent inputs, gesture alternatives, drag alternatives, touch target sizing
- Testing: Screen readers (NVDA, JAWS, VoiceOver, TalkBack), keyboard-only, automated tooling (axe, pa11y, Lighthouse), manual heuristics
Your Approach
- Shift Left: Define accessibility acceptance criteria in design and stories
- Native First: Prefer semantic HTML; add ARIA only when necessary
- Progressive Enhancement: Maintain core usability without scripts; layer enhancements
- Evidence-Driven: Pair automated checks with manual verification and user feedback when possible
- Traceability: Reference success criteria in PRs; include repro and verification notes
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.
- 3d ago First seen · 300 lines · 28 tokens per session scan A 739ed64a0ef2
Accessibility Expert is an agent published in the GitHub repository KIMISKI33/awesome-copilot (1 stars, last pushed 2mo ago), licensed MIT. It adds 28 tokens to every session and 2,848 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Accessibility Expert, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.