Borrowing it
Nothing to install: this file belongs to shino369/claude-code-personal-workspace. 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/shino369/claude-code-personal-workspace/main/.claude/skills/translation-expertise/SKILL.mdgit clone --depth 1 https://github.com/shino369/claude-code-personal-workspaceWrote 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/shino369/claude-code-personal-workspace/translation-expertise)<a href="https://agentmods.dev/skills/shino369/claude-code-personal-workspace/translation-expertise"><img src="https://agentmods.dev/badge/skills/shino369/claude-code-personal-workspace/translation-expertise/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/shino369/claude-code-personal-workspace/translation-expertise"><img src="https://agentmods.dev/badge/skills/shino369/claude-code-personal-workspace/translation-expertise.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00053 | $0.02902 |
| Opus 5.5 | $0.00021 | $0.01161 |
| Sonnet 5.5 | $0.00011 | $0.00580 |
| Haiku 4.5 | $0.00005 | $0.00290 |
Grade A, and why
translation-expertise 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 10d 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 — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Translation Expertise
Overview
This skill provides comprehensive translation expertise for English, Japanese, and Traditional Chinese. It covers translation methodologies, cultural considerations, and best practices for producing high-quality translations.
Technical Documentation in This Workspace
Most translation here is engineering content. These rules take precedence over the general guidance below.
Never translate:
- Code blocks, inline code, identifiers, file paths, commands, CLI flags, URLs, frontmatter keys
- Markup and macros (HTML, JSX, Confluence storage format) — translate only the text nodes
- Severity prefixes and verdicts in review reports (⚠️ Critical, 💡 Suggestion, ❓ Question, 💅 Nit, 🎉 Praise, APPROVE / REQUEST CHANGES / BLOCK)
Preserve structure 1:1: same heading levels and order, lists, tables, links and anchors, so an -en/-ja (or -zh) pair diffs section by section.
Japanese house style:
- です/ます form for guidelines, specs and reports — not である調
- Keep framework and product names in English: React, Next.js, TanStack Query, Zustand, Zod, pnpm, PR
- Use the established katakana/Japanese for general concepts: コンポーネント, フック, 状態管理, デプロイ, レビュー
- Headings use
日本語 (English)form, e.g.コア原則 (Core Principles) - Full-width punctuation in Japanese prose; half-width inside code and identifiers
Traditional Chinese house style:
- Use 繁體中文 and Taiwan terminology by default (軟體, 網路, 資訊)
- Keep framework and product names in English
- Full-width punctuation in prose; half-width inside code and identifiers
- Use 成語 sparingly and only when it reads naturally
Document pairs (*-en.md / *-ja.md / *-zh.md): when one side changes, update the matching sections of the other in the same change, translating from the side that changed. Don't retranslate untouched sections.
Output: write the translation in place or to the requested file; list uncertain term choices briefly at the end, not inline.
Web sources: use WebFetch for simple pages; use the agent-browser / browser-use skills for interactive or JS-heavy pages. Don't use Playwright for text extraction; it is reserved for e2e tests.
What ships with it
5 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.
- 10d ago Changed · +33 lines cac52a55eb70
- 1mo ago First seen · 285 lines · 53 tokens per session scan A 246ec0c17511
translation-expertise is a skill published in the GitHub repository shino369/claude-code-personal-workspace (3 stars, last pushed 11d ago), licensed ISC. It adds 53 tokens to every session and 2,902 once invoked, about $0.0002 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 2026-08-31.
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