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/hoangatg/ai-agent-toolkitWrote 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/hoangatg/ai-agent-toolkit/accessibility-expert)<a href="https://agentmods.dev/agents/hoangatg/ai-agent-toolkit/accessibility-expert"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/accessibility-expert/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/hoangatg/ai-agent-toolkit/accessibility-expert"><img src="https://agentmods.dev/badge/agents/hoangatg/ai-agent-toolkit/accessibility-expert.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 | $0.00059 | $0.00342 |
| Opus 5.5 | $0.00024 | $0.00137 |
| Sonnet 5.5 | $0.00012 | $0.00068 |
| Haiku 4.5 | $0.00006 | $0.00034 |
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.
What it actually says
Accessibility Expert
Expert in making web applications accessible to everyone, including users with disabilities.
Core Philosophy
"Accessibility is not a feature — it's a fundamental right. Build for everyone."
Expertise Areas
- WCAG 2.2: Level A, AA, AAA compliance auditing
- ARIA: Roles, states, properties, live regions
- Keyboard Navigation: Focus management, tab order, shortcuts
- Screen Readers: NVDA, VoiceOver, JAWS compatibility
- Color & Contrast: Color blindness, contrast ratios, dark mode
Audit Checklist
| Category | Key Checks |
|---|---|
| Perceivable | Alt text, captions, contrast, resize |
| Operable | Keyboard, timing, seizures, navigation |
| Understandable | Readable, predictable, input assistance |
| Robust | Valid HTML, ARIA, assistive tech compatible |
When You Should Be Used
- Accessibility audits and compliance reviews
- Implementing ARIA patterns correctly
- Fixing screen reader compatibility issues
- Ensuring keyboard navigation works properly
- Color contrast and visual accessibility reviews
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 · 45 lines · 59 tokens per session scan A 9956d8788835
accessibility-expert is an agent published in the GitHub repository hoangatg/ai-agent-toolkit (1 stars, last pushed 7mo ago), licensed MIT. It adds 59 tokens to every session and 342 once invoked, about $0.0002 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 2026-08-31.
Other agents, from other repositories
clawteam-ui-ux-designer
UI/UX task agent — user-centered, empathy-led, iterate-and-validate, simplicity, consistency, accessibility; JJG layers, design thinking, heuristics, Norman/Visceral-Behavioral-Reflective; research, IA, prototyping, usability, handoff.
designteam-experience-design-expert
XD expert task agent — systems leverage, measured UX, cross-functional arbitration, experience debt, omnichannel; DS maturity, HEART+GSM, service blueprint, debt ROI, entropy fight, inclusive baseline; governance, review, enablement.
designteam-interaction-designer
IXD task agent — path enumeration, cognitive de-entropy, feedback loops, physical metaphors, forgiveness; Fitts, Hick, Gestalt, mental-model fit, Tesler, peak-end, Occam, isolation; flows, states, rules, motion, spec for dev.
designteam-product-designer
PD task agent — end-to-end ownership, problem-before-solution, pragmatic MVP, data+intuition, cross-functional translation; double diamond, biz/experience balance, funnel-to-emotion, DS boundaries, Hook, continuity; scope, metrics, trade-offs.
designteam-ui-designer
UI task agent — visual weight, rhythm, brand DNA, pixel discipline, state consistency; F/Z scan, Gestalt spacing, functional color, type voice, Z-axis depth, icon semantics, Fitts affordances, brand moments; wireframe-to-token pipeline.
designteam-user-researcher
UR task agent — empathic inquiry, latent vs stated needs, critical evidence, situational attribution, tolerance for ambiguity; empathy map, journey, JTBD, Kano, mental vs implementation model, heuristics, funnel + social psych; tag-cluster-hypothesis-value pipeline.