AG Kit is a toolkit that gives Google Antigravity coding agents a structured workspace with rules, skills, specialist agents, workflows, persistent memory, orchestration, MCP guidance, and a safety hook. It is for building and operating agent workflows in Antigravity, and its catalogue entries provide parts of that workspace contract.
Borrowing it
Nothing to install: this file belongs to vudovn/ag-kit. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vudovn/ag-kit/main/.agents/skills/i18n-localization/SKILL.mdgit clone --depth 1 https://github.com/vudovn/ag-kitWrote 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/vudovn/ag-kit/i18n-localization)<a href="https://agentmods.dev/skills/vudovn/ag-kit/i18n-localization"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/i18n-localization.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 | $0.00027 | $0.00830 |
| Opus 5 | $0.00014 | $0.00415 |
| Sonnet 5 | $0.00005 | $0.00166 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
i18n-localization 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 7d 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
8 near-identical copies found in the catalogue:
- i18n-localization — 91% identical, 3 lines differ
- i18n-localization — 91% identical, 3 lines differ
- i18n-localization — 86% identical, 2 lines differ
- i18n-localization — 86% identical, 2 lines differ
- i18n-localization — 86% identical, 2 lines differ
- i18n-localization — 86% identical, 2 lines differ
- i18n-localization — 86% identical, 2 lines differ
- i18n-localization — 80% identical, 21 lines differ
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
i18n & Localization
Internationalization (i18n) and Localization (L10n) best practices.
1. Core Concepts
| Term | Meaning |
|---|---|
| i18n | Internationalization - making app translatable |
| L10n | Localization - actual translations |
| Locale | Language + Region (en-US, tr-TR) |
| RTL | Right-to-left languages (Arabic, Hebrew) |
2. When to Use i18n
| Project Type | i18n Needed? |
|---|---|
| Public web app | ✅ Yes |
| SaaS product | ✅ Yes |
| Internal tool | ⚠️ Maybe |
| Single-region app | ⚠️ Consider future |
| Personal project | ❌ Optional |
3. Implementation Patterns
React (react-i18next)
import { useTranslation } from 'react-i18next';
function Welcome() {
const { t } = useTranslation();
return <h1>{t('welcome.title')}</h1>;
}
Next.js (next-intl)
import { useTranslations } from 'next-intl';
export default function Page() {
const t = useTranslations('Home');
return <h1>{t('title')}</h1>;
}
Python (gettext)
from gettext import gettext as _
print(_("Welcome to our app"))
4. File Structure
locales/
├── en/
│ ├── common.json
│ ├── auth.json
│ └── errors.json
├── tr/
│ ├── common.json
│ ├── auth.json
│ └── errors.json
└── ar/ # RTL
└── ...
5. Best Practices
DO ✅
- Use translation keys, not raw text
- Namespace translations by feature
- Support pluralization
- Handle date/number formats per locale
- Plan for RTL from the start
- Use ICU message format for complex strings
DON'T ❌
- Hardcode strings in components
- Concatenate translated strings
- Assume text length (German is 30% longer)
- Forget about RTL layout
- Mix languages in same file
6. Common Issues
| Issue | Solution |
|---|---|
| Missing translation | Fallback to default language |
| Hardcoded strings | Use linter/checker script |
| Date format | Use Intl.DateTimeFormat |
| Number format | Use Intl.NumberFormat |
| Pluralization | Use ICU message format |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 7d ago First seen · 157 lines · 27 tokens per session scan A 356847a4d612
i18n-localization is a skill published in the GitHub repository vudovn/ag-kit (8,168 stars, last pushed 7d ago), licensed MIT. It adds 27 tokens to every session and 830 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 2026-08-30.
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