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 vasilyu1983/AI-Agents-public --skill software-localisationgit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote 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/vasilyu1983/ai-agents-public/software-localisation)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/software-localisation"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-localisation/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/vasilyu1983/ai-agents-public/software-localisation"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/software-localisation.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 | $0.00039 | $0.02625 |
| Opus 5 | $0.00019 | $0.01313 |
| Sonnet 5 | $0.00008 | $0.00525 |
| Haiku 4.5 | $0.00004 | $0.00263 |
Grade A, and why
software-localisation 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 5d 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Software Localisation
Use this skill for production web-app i18n and l10n: library choice, message catalogs, ICU usage, locale routing, translation workflow, RTL, and release gates. The goal is not just translated strings. The goal is locale-safe product behavior.
Quick Reference
| Need | Starting Direction |
|---|---|
| React or general flexibility | i18next / react-i18next |
| ICU-first catalogs | react-intl / FormatJS |
| Vue | vue-i18n |
| Angular | @angular/localize |
| Next.js App Router | next-intl |
| smaller bundle bias | Lingui |
| stronger generated wrappers | typesafe-i18n only when deliberate |
When to Use This Skill
- setting up or debugging i18n in React, Vue, Angular, or Next.js
- choosing libraries and catalog strategy
- implementing ICU pluralisation, formatting, and locale detection
- adding RTL support
- configuring extraction, translation workflow, or TMS integration
- fixing missing translations, mixed-language regressions, or bad locale fallback behavior
Route Elsewhere
- general frontend architecture -> software-frontend
- international SEO and hreflang ->
marketing-seo - cross-cultural UX and market adaptation -> software-ui-ux-design or
marketing-geo-localization - general WCAG/ARIA compliance and European Accessibility Act (EAA) readiness -> software-accessibility; this skill only covers the i18n-specific slice (lang/dir propagation, script-aware line height, IME) in
references/accessibility-i18n.md
When Not to Use This Skill
- The product has one locale and no committed plan to add more — don't pre-build ICU catalogs, TMS integration, or locale routing "just in case." Ship plain strings and revisit when a second locale is real.
- The ask is "translate this text" with no code, catalog, or product surface involved — that's a translation task, not a localisation-engineering task; do it directly.
- The ask is about international SEO structure (hreflang, ccTLD vs subfolder) with no i18n implementation involved -> route to
marketing-seoinstead.
What ships with it
18 files 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.
- agents/openai.yaml 326 B
- assets/nextjs-i18n-setup.md 15 KB
- assets/react-i18next-setup.md 12 KB
- assets/vue-i18n-setup.md 13 KB
- data/sources.json 24 KB
- learnings.consolidated.md 597 B
- learnings.md 385 B
- references/accessibility-i18n.md 20 KB
- references/content-management-patterns.md 23 KB
- references/framework-guides.md 19 KB
- references/icu-message-format.md 15 KB
- references/locale-handling.md 19 KB
- references/ops-runbook.md 5.3 KB
- references/rtl-support.md 15 KB
- references/testing-i18n.md 22 KB
- references/translation-workflows.md 22 KB
- scripts/check_examples.py 2.2 KB runs code
- scripts/check_urls.py 1.8 KB runs code
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.
- 5d ago First seen · 212 lines · 39 tokens per session scan A bbf6fb936638
software-localisation is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 6d ago), licensed MIT. It adds 39 tokens to every session and 2,625 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.
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