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 travisjneuman/.claude --skill i18n-localizationgit clone --depth 1 https://github.com/travisjneuman/.claudeWrote 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/travisjneuman/.claude/i18n-localization)<a href="https://agentmods.dev/skills/travisjneuman/.claude/i18n-localization"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/i18n-localization/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/travisjneuman/.claude/i18n-localization"><img src="https://agentmods.dev/badge/skills/travisjneuman/.claude/i18n-localization.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 | $0.00032 | $0.03611 |
| Opus 5 | $0.00016 | $0.01806 |
| Sonnet 5 | $0.00006 | $0.00722 |
| Haiku 4.5 | $0.00003 | $0.00361 |
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 8d 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 — 660 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Internationalization & Localization
Comprehensive guide for building globally-ready applications.
Key Concepts
Terminology
i18n (Internationalization):
- Engineering for multiple languages/regions
- Building the infrastructure
- Happens once, during development
L10n (Localization):
- Adapting for specific locale
- Translation, formatting, content
- Happens per locale, ongoing
Locale:
- Language + Region combination
- Format: language-REGION (e.g., en-US, pt-BR)
- Determines formatting rules
What Needs Localization?
| Category | Examples |
|---|---|
| Text | UI labels, messages, errors |
| Numbers | 1,234.56 vs 1.234,56 |
| Dates | MM/DD/YYYY vs DD/MM/YYYY |
| Times | 12-hour vs 24-hour |
| Currency | $1,234.56 vs €1.234,56 |
| Plurals | 1 item vs 2 items vs 5 items |
| Direction | LTR vs RTL |
| Images | Cultural appropriateness |
| Colors | Cultural significance |
| Names | Order, formality |
Text & Messages
Externalize All Strings
// DON'T: Hardcoded strings
const message = "Welcome back, " + username;
// DO: Externalized, translatable
const message = t('welcome_back', { name: username });
// Translation file (en.json)
{
"welcome_back": "Welcome back, {{name}}"
}
// Translation file (es.json)
{
"welcome_back": "Bienvenido de nuevo, {{name}}"
}
Message Format
// ICU Message Format (recommended)
// Handles plurals, select, dates, numbers
// Simple
"greeting": "Hello, {name}!"
// Plural
"items_count": "{count, plural, =0 {No items} one {# item} other {# items}}"
// Select (gender, etc.)
"notification": "{gender, select, male {He} female {She} other {They}} liked your post"
// Nested
"cart": "{itemCount, plural,
=0 {Your cart is empty}
one {You have # item in your cart}
other {You have # items in your cart}
}"
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.
- 8d ago First seen · 660 lines · 32 tokens per session scan A 3942a22d936c
i18n-localization is a skill published in the GitHub repository travisjneuman/.claude (97 stars, last pushed 7d ago), licensed MIT. It adds 32 tokens to every session and 3,611 once invoked, about $0.0002 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
humanize-korean
A Korean editing tool that removes translation-like phrasing and common AI writing habits while preserving facts, numbers, names, and quotations. It is intended for existing Korean prose, not for writing new marketing copy.
i18n-integrity
Translation integrity: every key present in every language, no hardcoded strings, consistent placeholders and plurals. Runs when user-facing text changes.
plan-review-architecture
Architecture-dimension reviewer for written plans. Use when running plan-review or directly when an architectural review is wanted. Activate for keywords like "architecture review", "data flow", "failure modes", "rollback", "edge cases", "test matrix". Scores 5 sub-dimensions 0-10, produces ranked fixes. Always cite…
plan-review-experience
Experience-dimension reviewer for written plans (UX + DX). Use when running plan-review or directly when an experience review is wanted. Activate for keywords like "UX review", "DX review", "experience review", "error states", "API ergonomics", "developer experience", "user states". Scores 5 sub-dimensions 0-10…
korean-spell-check
Use Nara/PNU Korean spell-check surfaces conservatively to proofread Korean text, chunk long input, and return change-focused correction suggestions.
dev-i18n
Internationalization (i18n) and localization (l10n) for web and mobile applications. Libraries next-intl, react-i18next, vue-i18n, formatjs, flutterlocalizations, ARB. Trigger when the user wants to add multiple languages, extract strings, handle plurals, date/number formats, or when translation files are detected.