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 Mindrally/skills --skill localization-l10ngit clone --depth 1 https://github.com/Mindrally/skillsWrote 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/mindrally/skills/localization-l10n)<a href="https://agentmods.dev/skills/mindrally/skills/localization-l10n"><img src="https://agentmods.dev/badge/skills/mindrally/skills/localization-l10n/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/mindrally/skills/localization-l10n"><img src="https://agentmods.dev/badge/skills/mindrally/skills/localization-l10n.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00028 | $0.01325 |
| Opus 5.5 | $0.00011 | $0.00530 |
| Sonnet 5.5 | $0.00006 | $0.00265 |
| Haiku 4.5 | $0.00003 | $0.00133 |
Grade A, and why
localization-l10n 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 15d 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 — 219 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Localization (l10n)
You are an expert in localization for web and mobile applications. Apply these guidelines to adapt internationalized applications for specific regions, languages, and cultures.
Core Principles
- Localization (l10n) builds on internationalization (i18n)
- Ensure all user-facing text supports localization
- Adapt content for cultural appropriateness
- Respect regional conventions for dates, numbers, and currency
- Design for content that varies significantly between locales
Localization Libraries
Web Applications
- Use i18next and react-i18next for web applications
- Implement namespace-based translation organization
- Use libraries like react-intl or next-i18next for Next.js applications
- Leverage formatjs for ICU message format support
Mobile Applications
- Use expo-localization for React Native apps
- Use react-native-i18n or expo-localization for internationalization and localization
- Support multiple languages with fallback mechanisms
- Handle device locale detection automatically
Translation Management
File Organization
locales/
en-US/
common.json
legal.json
marketing.json
en-GB/
common.json
legal.json
marketing.json
es-ES/
common.json
legal.json
marketing.json
es-MX/
common.json
legal.json
marketing.json
Regional Variants
- Support regional language variants (en-US vs en-GB, es-ES vs es-MX)
- Implement fallback chains (es-MX -> es -> en)
- Handle spelling differences (color vs colour)
- Adapt terminology for regional preferences
Locale-Specific Formatting
Date and Time Formatting
// Format dates according to locale
const formatDate = (date: Date, locale: string) => {
return new Intl.DateTimeFormat(locale, {
year: 'numeric',
month: 'long',
day: 'numeric'
}).format(date);
};
// US: January 23, 2026
// UK: 23 January 2026
// Germany: 23. Januar 2026
Number Formatting
// Format numbers according to locale
const formatNumber = (num: number, locale: string) => {
return new Intl.NumberFormat(locale).format(num);
};
// US: 1,234,567.89
// Germany: 1.234.567,89
// France: 1 234 567,89
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.
- 15d ago Changed · +3 lines 0435e3724c6b
- 1mo ago First seen · 216 lines · 28 tokens per session scan A 760ca53ab2a8
localization-l10n is a skill published in the GitHub repository Mindrally/skills (285 stars, last pushed 15d ago), licensed Apache-2.0. It adds 28 tokens to every session and 1,325 once invoked, about $0.0001 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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