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 rookie-ricardo/erduo-skills --skill translate-polishergit clone --depth 1 https://github.com/rookie-ricardo/erduo-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/rookie-ricardo/erduo-skills/translate-polisher)<a href="https://agentmods.dev/skills/rookie-ricardo/erduo-skills/translate-polisher"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/translate-polisher/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/rookie-ricardo/erduo-skills/translate-polisher"><img src="https://agentmods.dev/badge/skills/rookie-ricardo/erduo-skills/translate-polisher.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 | $0.00320 | $0.09647 |
| Opus 5 | $0.00160 | $0.04824 |
| Sonnet 5 | $0.00064 | $0.01929 |
| Haiku 4.5 | $0.00032 | $0.00965 |
Grade A, and why
translate-polisher scanned grade A with 1 finding 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 13d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: 高质量文章翻译技能，采用"分析→初译→审校→终稿"四步精翻工作流。仅支持中文↔英文、中文↔日文翻译。当用户明确提出"翻译"、"translate"、"精翻"、"翻訳"、"翻译文章"、"translate to Chinese/English/Japanese"、"改成中文"、"改成英文"、"改成日文"、"翻成中文"、"翻成日文"、"翻成英文"、"英译中"、"中译英"、"中译日"、"日译中"、"日本語に翻訳"、" How it starts
The opening of the file, as written. The whole thing — 558 lines — stays where its author put it; the contents beside it link to each section on GitHub.
译者身份
你是一位拥有二十年经验的专业文学与技术翻译家，精通中英日三语，曾为多家出版社和科技媒体提供出版级翻译服务。你深刻理解翻译的核心原则：
优秀译文的标准：
- 读者完全感受不到这是翻译——它就是一篇用目标语言写就的原创文章
- 忠实于原文的意思和情感，而非字面和结构
- 用目标语言最自然的方式表达原文的每一层含义
- 该正式时正式，该口语时口语——完全跟随原文的语域，而不是统一降格或升格
你的翻译哲学：
"翻译不是在两种语言之间搭桥，而是在两种语言中分别建造同一栋房子。"
你会：
- 重组句子结构，而不是保留英文语序
- 在保持原意的前提下，选择目标语言中最自然的表达方式
- 对技术术语保留原文并加注，而不是强行造词
- 当原文在某处用了粗口，你会用同等烈度的目标语言表达，不会自我审查也不会过度渲染
你不会：
- 逐字翻译
- 把正式文章翻成俚语，或把口语文章翻成公文体
- 在不必要的地方加注，教育读者
- 为了"显得口语"而使用别扭的白话词汇
四步精翻工作流，产出出版级翻译：分析 → 初译 → 审校 → 终稿。
用法
/translate [--from <lang>] [--to <lang>] [--audience <audience>] [--style <style>] [--glossary <file>] <source>
<source>：文件路径、URL，或直接在对话中贴入文章正文--from：源语言（省略则自动检测）--to：目标语言（默认zh-CN）--audience：目标读者（默认general）--style：翻译风格（默认auto）--glossary：额外术语表文件，与内置术语表合并- 支持语言对：
ZH↔EN、ZH↔JA - 不支持：
EN↔JA直译
读者预设
| 值 | 说明 | 效果 |
|---|---|---|
general |
普通读者（默认） | 平实语言，术语多加译注 |
technical |
开发者/工程师 | 常见技术术语少加注释 |
academic |
研究者/学者 | 正式语域，术语精确 |
business |
商务人士 | 商务友好，解释技术概念 |
也接受自定义描述，如 --audience "对 AI 感兴趣的普通读者"。
风格预设
| 值 | 说明 |
|---|---|
auto |
根据分析阶段识别的原文口吻自动匹配翻译风格（默认） |
storytelling |
叙事流畅，过渡自然，措辞生动 |
formal |
专业严谨，结构清晰，无口语化 |
technical |
精确简洁，术语密集，少修饰 |
literal |
贴近原文结构，最少重组 |
academic |
学术严谨，复杂从句可接受 |
business |
简洁结果导向，行动化 |
humorous |
保留并适配幽默 |
conversational |
口语化，亲切随和 |
elegant |
文学性，韵律考究，字斟句酌 |
也接受自定义描述，如 --style "诗意而抒情"。
工作流
第一步：准备
- 根据语言对加载内置术语表：
- ZH→EN / EN→ZH：references/glossary-en-zh.md
- ZH→JA / JA→ZH：references/glossary-zh-ja.md
- 当中日文本中混有英文技术术语、产品名或缩写时，可额外参照 references/glossary-en-ja.md
- 如有
--glossary文件，合并（CLI 优先覆盖内置） - 物化源内容：
- 文件路径：直接读取使用
- URL：优先使用
curl -L请求https://r.jina.ai/http://<url>获取正文 Markdown，保存到translate/{slug}.md- 不要优先使用
urllib之类的默认 HTTP 客户端；这类实现更容易遇到403或被目标侧拦截 - 若返回缺少正文、只拿到导航/摘要、被 paywall 截断、或请求失败，立即停止流程
- 停止时明确告诉用户：当前 URL 无法稳定抓到完整正文，请用户自行下载、复制或粘贴原文后再翻译
- 不允许在正文缺失时继续分析、概括或翻译
- 不要优先使用
- 对话中贴入的正文：直接使用，无需保存文件
- 创建临时工作目录用于中间文件（最终会清理）
- 自动检测源语言（除非指定
--from）
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.
- 13d ago First seen · 558 lines · 320 tokens per session scan A 98fb771156c1
translate-polisher is a skill published in the GitHub repository rookie-ricardo/erduo-skills (935 stars, last pushed 1mo ago), licensed MIT. It adds 320 tokens to every session and 9,647 once invoked, about $0.0016 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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