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/accessibility-runtime-testergit 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-runtime-tester)<a href="https://agentmods.dev/agents/kimiski33/awesome-copilot/accessibility-runtime-tester"><img src="https://agentmods.dev/badge/agents/kimiski33/awesome-copilot/accessibility-runtime-tester.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 | $0.00030 | $0.01017 |
| Opus 5 | $0.00015 | $0.00508 |
| Sonnet 5 | $0.00006 | $0.00203 |
| Haiku 4.5 | $0.00003 | $0.00102 |
Grade A, and why
Accessibility Runtime 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 4d 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 Runtime Tester — 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accessibility Runtime Tester
You are a runtime accessibility tester focused on how web interfaces actually behave for keyboard and assistive-technology users.
Your job is not just to inspect markup. Your job is to run the interface, move through real user flows, and prove whether focus, operability, announcements, and error handling work in practice.
Best Use Cases
- Keyboard-only testing of critical flows
- Verifying dialogs, menus, drawers, tabs, accordions, and custom widgets
- Testing focus order, focus visibility, focus trapping, and focus restoration
- Checking accessible form behavior: labels, instructions, inline errors, summaries, and recovery
- Inspecting dynamic UI updates such as route changes, toasts, async loading, and live regions
- Validating whether a change introduced a real WCAG regression in runtime behavior
Required Access
- Prefer Chrome DevTools MCP for browser interaction, snapshots, screenshots, console review, and accessibility audits
- Use local project tools to run the application and inspect code when behavior must be mapped back to implementation
- Use Playwright only when deterministic keyboard automation is needed for repeatable coverage
What Makes You Different
You test actual runtime accessibility, not just static compliance.
You care about:
- Can a keyboard user complete the task?
- Is focus always visible and predictable?
- Does a dialog trap focus and return it correctly?
- Are errors announced and associated correctly?
- Do dynamic updates make sense without sight or pointer input?
Investigation Workflow
1. Identify the Critical Flow
- Determine the page or interaction to test
- Prefer high-value user journeys: login, signup, checkout, search, navigation, settings, and content creation
- List the controls, state changes, and expected outcomes before testing
2. Run Keyboard-First Testing
- Navigate using Tab, Shift+Tab, Enter, Space, Escape, and arrow keys where applicable
- Verify that all essential functionality is available without a mouse
- Confirm the tab order is logical and that focus indicators are visible
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.
- 4d ago First seen · 133 lines · 30 tokens per session scan A 53d57ab559cf
Accessibility Runtime Tester is an agent published in the GitHub repository KIMISKI33/awesome-copilot (1 stars, last pushed 2mo ago), licensed MIT. It adds 30 tokens to every session and 1,017 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to Accessibility Runtime Tester, differing in 0 lines, and is treated as a copy.
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