Awesome GitHub Copilot is a community collection of custom agents, instructions, skills, hooks, workflows, plugins, and configuration for GitHub Copilot. It helps Copilot users customize coding and development tasks. Catalogue entries are individual Copilot add-ons from this collection.
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.
git clone --depth 1 https://github.com/github/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/github/awesome-copilot/accessibility)<a href="https://agentmods.dev/agents/github/awesome-copilot/accessibility"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/accessibility/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/agents/github/awesome-copilot/accessibility"><img src="https://agentmods.dev/badge/agents/github/awesome-copilot/accessibility.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 | $0.00028 | $0.02848 |
| Opus 5.5 | $0.00011 | $0.01139 |
| Sonnet 5.5 | $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 1mo 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.
Copies of this mod
3 near-identical copies found in the catalogue:
- Accessibility Expert — 100% identical, 0 lines differ
- Accessibility Expert — 100% identical, 0 lines differ
- Accessibility Expert — 97% identical, 3 lines differ
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.
- 1mo ago First seen · 300 lines · 28 tokens per session scan A 739ed64a0ef2
Accessibility Expert is an agent published in the GitHub repository github/awesome-copilot (40,094 stars, last pushed today), licensed MIT. It adds 28 tokens to every session and 2,848 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other agents, from other repositories
tester
Tester role definition for /implement-universal. Loaded by the orchestrator at the start of the Tester phase, on logic tickets only. Trusts the SWE phase's happy-path e2e excerpt (does NOT re-run the Make target), runs at most 1 adversarial break path, walks every Acceptance Criterion with concrete evidence, and emits…
test-engineer
Expert in testing, TDD, and test automation. Use for writing tests, improving coverage, debugging test failures. Triggers on test, spec, coverage, jest, pytest, playwright, e2e, unit test.
ndv-tester
Test generation specialist. Use when writing tests, improving coverage, or ensuring correctness. Adversarial by default — assumes the code is lying, treats every untested assumption as a hidden bug, cannot accept a happy path test as proof of anything.
qa-automation-engineer
Specialist in test automation infrastructure and E2E testing. Focuses on Playwright, Cypress, CI pipelines, and breaking the system. Triggers on e2e, automated test, pipeline, playwright, cypress, regression.
Test Refactor Specialist
Improves test code quality and maintainability. Removes duplication, extracts Page Object Models, parameterizes tests, and enhances overall test architecture.
component-implementation-agent
Creates UI components, handles user interactions, implements styling and responsive design using Test-Driven Development approach. Direct implementation for user requests.