Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/roedyrustam/vibes-plugnpx agentmods add skills/roedyrustam/vibes-plug/global-a11y-i18n-expertWrote 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/roedyrustam/vibes-plug/global-a11y-i18n-expert)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/global-a11y-i18n-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/global-a11y-i18n-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/skills/roedyrustam/vibes-plug/global-a11y-i18n-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/global-a11y-i18n-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.02016 |
| Opus 5.5 | $0.00018 | $0.00806 |
| Sonnet 5.5 | $0.00009 | $0.00403 |
| Haiku 4.5 | $0.00005 | $0.00202 |
Grade A, and why
global-a11y-i18n-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Global Accessibility (WCAG 2.2 AA) & i18n Expert (2026 Edition)
English
Description
Production guide for building universally accessible, globally adaptable web applications adhering to WCAG 2.2 Level AA standards and modern Internationalization (i18n) architecture. Covers type-safe translation schemas (next-intl), CSS logical properties for bidirectional layout flow (LTR & RTL), accessible keyboard trap navigation, screen reader affordances, and timezone-resilient UTC serialization.
Trigger Conditions
- Enterprise and public sector readiness requiring legal WCAG 2.2 AA compliance.
- Adding multi-language routing (
/en,/id,/ja,/ar) to Next.js 15 App Router. - Supporting Right-to-Left (RTL) reading flows for Arabic or Hebrew markets.
- Fixing keyboard navigation focus traps or screen reader accessibility bugs.
- Localizing currency formatting (
Intl.NumberFormat) and localized date displays.
Accessible Modal Component with Focus Trap (HTML5 Native Dialog)
// src/components/ui/AccessibleModal.tsx
'use client';
import { useEffect, useRef } from 'react';
interface ModalProps {
isOpen: boolean;
onClose: () => void;
title: string;
children: React.ReactNode;
}
export function AccessibleModal({ isOpen, onClose, title, children }: ModalProps) {
const dialogRef = useRef<HTMLDialogElement>(null);
useEffect(() => {
const dialog = dialogRef.current;
if (!dialog) return;
if (isOpen && !dialog.open) {
dialog.showModal(); // Native browser focus-trap and backdrop handling
} else if (!isOpen && dialog.open) {
dialog.close();
}
}, [isOpen]);
return (
<dialog
ref={dialogRef}
onClose={onClose}
aria-labelledby="modal-title"
className="rounded-xl border border-slate-200 bg-white p-6 shadow-xl backdrop:bg-slate-950/50 max-w-lg w-full outline-none"
>
<div className="flex items-center justify-between border-b border-slate-100 pb-3">
<h2 id="modal-title" className="text-lg font-bold text-slate-900">
{title}
</h2>
<button
onClick={onClose}
aria-label="Close dialog"
className="rounded-lg p-1.5 text-slate-400 hover:bg-slate-100 hover:text-slate-700 focus-visible:ring-2 focus-visible:ring-slate-950"
>
✕
</button>
</div>
<div className="mt-4">{children}</div>
</dialog>
);
}
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.
- 6d ago Changed · +8 lines 85da2455748a
- 7d ago Changed · +1 lines 344ca8e94c09
- 10d ago Changed · +85 lines b5e02a124658
- 19d ago Changed b24c2725b3ac
- 24d ago Changed f567def63c53
- 24d ago Changed 14ffc02d7cd4
- 27d ago Changed · -6 lines · +24 tokens per session 78305c1f86d4
- 29d ago Changed · +6 lines · -24 tokens per session 9e506f11ad25
- 1mo ago Changed 20269b090cf9
- 1mo ago First seen · 88 lines · 45 tokens per session scan A 55d6166c8123
global-a11y-i18n-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (114 stars, last pushed yesterday), licensed MIT. It adds 45 tokens to every session and 2,016 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 2026-09-03.
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Overview of six AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching.
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Use when comparing prompt changes against a fixed evaluation set: record actual model settings, required checks, missing results, judge limitations and case-level regression evidence.
polyglot
Implementing i18n and l10n: extracts hardcoded strings to t() functions, integrates Intl API for date/currency/number formatting, manages translation keys, and adds RTL layout support.
translate-skill
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chinese-copywriting-linter
Lint and automatically format Chinese copywriting and typesetting in Markdown documents according to the Chinese Copywriting Guidelines. Make sure to use this skill whenever the user asks to format, check, clean, lint, or correct spacing, punctuation, and capitalization in Chinese text or documentation, even if they…
i18n
Audit internationalization coverage and find hardcoded strings. Use when asked to "check i18n", "find hardcoded strings", or verify translation coverage. Don't use for backend code, projects without an i18n library, accessibility (/a11y-audit), or bundle size (/perf-audit).