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 Dragoon0x/everything-design-taste --skill accessibility-deepgit clone --depth 1 https://github.com/Dragoon0x/everything-design-tasteWrote 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/dragoon0x/everything-design-taste/accessibility-deep)<a href="https://agentmods.dev/skills/dragoon0x/everything-design-taste/accessibility-deep"><img src="https://agentmods.dev/badge/skills/dragoon0x/everything-design-taste/accessibility-deep.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 5.1 | $0.00022 | $0.00371 |
| Opus 5 | $0.00011 | $0.00186 |
| Sonnet 5 | $0.00004 | $0.00074 |
| Haiku 4.5 | $0.00002 | $0.00037 |
Grade A, and why
accessibility-deep 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.
What it actually says
Accessibility Deep Dive
ARIA Patterns
| Component | Key ARIA |
|---|---|
| Modal | role=dialog, aria-modal=true, aria-labelledby |
| Tab panel | role=tablist, role=tab, role=tabpanel, aria-selected |
| Accordion | aria-expanded, aria-controls |
| Menu | role=menu, role=menuitem, aria-haspopup |
| Combobox | role=combobox, aria-expanded, aria-activedescendant |
| Alert | role=alert, aria-live=assertive |
| Status | role=status, aria-live=polite |
| Progress | role=progressbar, aria-valuenow, aria-valuemin, aria-valuemax |
Focus Management
- Focus order follows visual order (or logical reading order)
- Focus trap inside modals and dialogs
- Return focus to trigger when modal closes
- Skip links for repetitive navigation
- Focus visible: always show, never remove
:focus-visible
Screen Reader Testing
- Test with VoiceOver (Mac), NVDA (Windows), TalkBack (Android)
- Every interactive element has an accessible name
- Dynamic content changes are announced (aria-live)
- Images have meaningful alt text (or alt="" if decorative)
- Form errors are announced when they appear
Cognitive Accessibility
- Plain language (no jargon without explanation)
- Consistent navigation and layout across pages
- Clear error messages with recovery instructions
- Avoid timeouts (or provide extension option)
- Don't rely on memory (show information in context)
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 · 41 lines · 22 tokens per session scan A 14afd6d74e16
accessibility-deep is a skill published in the GitHub repository Dragoon0x/everything-design-taste (11 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 371 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
testing-e2e
End-to-end testing patterns with Playwright — page objects, AI agent testing, visual regression, accessibility testing with axe-core, and CI integration. Use when writing E2E tests, setting up Playwright, implementing visual regression, or testing accessibility.
Accessibility Auditor
Comprehensive WCAG 2.1 AA compliance testing combining automated axe-core scans with manual keyboard navigation, screen reader compatibility, and focus management verification.
Axe-core Accessibility Testing
Accessibility testing skill using axe-core and Playwright for automated WCAG 2.1 compliance auditing, custom rules, and accessibility reporting.
browser-inspection-workflow
Coordinate rendered behavior and state evidence.
visual-regression-lab
Compare captures; stitch lazy/animated pages.
cross-browser-qa
Verify browser-engine compatibility.