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 serejaris/kimi-skills --skill localization-toolkitgit clone --depth 1 https://github.com/serejaris/kimi-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/serejaris/kimi-skills/localization-toolkit)<a href="https://agentmods.dev/skills/serejaris/kimi-skills/localization-toolkit"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/localization-toolkit/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/serejaris/kimi-skills/localization-toolkit"><img src="https://agentmods.dev/badge/skills/serejaris/kimi-skills/localization-toolkit.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00082 | $0.01230 |
| Opus 5 | $0.00041 | $0.00615 |
| Sonnet 5 | $0.00016 | $0.00246 |
| Haiku 4.5 | $0.00008 | $0.00123 |
Grade A, and why
localization-toolkit 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.
This is a copy
100% identical to localization-toolkit — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
I18n Expert
Overview
Deliver a complete i18n setup + audit pass: configure the i18n framework, replace user-facing strings with keys, ensure locale parity, and validate pluralization/formatting for en-US and zh-CN.
Core Capabilities
- Library selection and setup (React, Next.js, Vue).
- Key architecture and locale file organization.
- Translation generation and quality strategy (AI, professional, manual).
- Routing and language detection/switching.
- SEO and metadata localization (when applicable).
- RTL support (only if RTL locales are in scope).
Scope Inputs (ask if unclear)
- Framework and routing style.
- Existing i18n state (none, partial, legacy).
- Target locales (default: en-US + zh-CN).
- Translation quality needs (AI vs professional vs manual).
- Locale formats in use (JSON, YAML, PO, XLIFF).
- Formality/cultural requirements (if any).
Workflow (Audit -> Fix -> Validate)
- Confirm scope and locale targets
- Identify the i18n framework and locale locations.
- Confirm locales; default to en-US + zh-CN when specified.
- Setup i18n baseline (if missing)
- Choose a framework-appropriate library (e.g., React: react-i18next; Next.js: next-intl; Vue: vue-i18n).
- Install packages and create the i18n entry/config file.
- Wire the provider at the app root and load locale resources.
- Add a language switcher and persistence (route/param/localStorage) as appropriate.
- Establish locale file layout and key namespaces.
- If routing is locale-aware, define the locale segment strategy early (subpath, subdomain, query param).
- If metadata is user-facing, include translation for titles/descriptions.
- Audit key usage and locale parity
- Run:
python scripts/i18n_audit.py --src <src-root> --locale <path/to/en-US.json> --locale <path/to/zh-CN.json> - Treat missing keys/parity gaps as blockers.
- Manually verify dynamic keys (
t(var)).
- Find raw user-facing strings
- Search:
rg -n --glob '<src>/**/*.{ts,tsx,js,jsx}' "<[^>]+>[^<{]*[A-Za-z][^<{]*<" rg -n --glob '<src>/**/*.{ts,tsx,js,jsx}' "aria-label=\"[^\"]+\"|title=\"[^\"]+\"|placeholder=\"[^\"]+\"" - Localize accessibility labels.
What ships with it
3 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.
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 · 129 lines · 82 tokens per session scan A c4f1e62132dd
localization-toolkit is a skill published in the GitHub repository serejaris/kimi-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 82 tokens to every session and 1,230 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to localization-toolkit, differing in 0 lines, and is treated as a copy.
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