quick-translation

quick-translation is a skill for Claude Code, Codex from UnicomAI/wanwu. It costs 0 tokens per session (707 once invoked), scanned A, original, Apache-2.0.

A translation tool for converting text between more than 100 languages, with support for technical terms, batches of text or files, pronunciation, and style choices.

In plain words
What is it for?
Use it to translate messages, technical documents, contracts, or batches of text, and to compare the source with the translation.
Why use it?
It helps when a direct translation needs to preserve context, terminology, or a chosen tone across multiple pieces of content.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to translate messages, technical documents, contracts, or batches of text…

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/unicomai/wanwu/quick-translation
About the project

Wanwu is an enterprise platform for building AI agents, workflows, retrieval-augmented applications, and managing models in multi-tenant environments. It is designed for developers and enterprise teams delivering AI applications and integrations. The catalogue entries provide skills and agents for using the platform.

UnicomAI/wanwu · 2,458 stars · on GitHub

Install

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.

Any agent
npx skills add UnicomAI/wanwu --skill quick-translation
Clone the repo
git clone --depth 1 https://github.com/UnicomAI/wanwu

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for quick-translation

README.md
[![agentmods](https://agentmods.dev/badge/skills/unicomai/wanwu/quick-translation.svg)](https://agentmods.dev/skills/unicomai/wanwu/quick-translation)
Your own site
<a href="https://agentmods.dev/skills/unicomai/wanwu/quick-translation"><img src="https://agentmods.dev/badge/skills/unicomai/wanwu/quick-translation.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 707 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00707
Opus 5 $0.00000 $0.00353
Sonnet 5 $0.00000 $0.00141
Haiku 4.5 $0.00000 $0.00071

Measured 3d ago against content hash e916d4bc0d90, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

quick-translation 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 3d 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.

configs/microservice/bff-service/configs/agent-skills/clawhub/quick-translation/SKILL.md · 111 lines

What it actually says

Quick Translation Skill

🚀 快速翻译工具,支持 100+ 语言,专业术语识别,批量翻译。

功能特性

核心功能

  • 多语言翻译 - 支持 100+ 语言互译
  • 专业术语识别 - 自动识别技术/法律/医疗术语
  • 批量翻译 - 一次翻译多个段落或文件
  • 翻译历史 - 保存翻译记录,方便回顾
  • 发音支持 - 提供原文和译文发音

高级功能

  • 上下文感知 - 根据上下文选择最佳翻译
  • 风格调整 - 正式/非正式/口语化
  • 术语库 - 自定义专业术语翻译
  • 对比显示 - 原文译文对照查看

使用方式

基础翻译

翻译这段文字到英文:你好,世界

批量翻译

把以下内容全部翻译成日语:
1. 你好
2. 谢谢
3. 再见

专业翻译

用专业术语把这个技术文档翻译成中文

风格调整

用口语化的英语翻译:今天天气真好

支持语言

常用语言

  • 🇨🇳 中文(简体/繁体)
  • 🇺🇸 英语
  • 🇯🇵 日语
  • 🇰🇷 韩语
  • 🇫🇷 法语
  • 🇩🇪 德语
  • 🇪🇸 西班牙语
  • 🇷🇺 俄语
  • 🇸🇦 阿拉伯语

更多语言

葡萄牙语、意大利语、荷兰语、波兰语、土耳其语、越南语、泰语、印尼语、马来语、印地语等 100+ 语言

输出格式

标准输出

🌐 翻译结果

原文:
你好,世界

译文:
Hello, World

语言:中文 → 英文

专业术语输出

🌐 专业翻译

原文:
API endpoint configuration

译文:
API 端点配置

术语说明:
- API: 应用程序接口
- endpoint: 端点
- configuration: 配置

使用场景

  1. 日常沟通 - 快速翻译聊天消息
  2. 文档处理 - 翻译技术文档/合同
  3. 学习辅助 - 翻译外文资料
  4. 内容创作 - 多语言内容生成
  5. 商务沟通 - 跨国邮件翻译

最佳实践

  • 提供上下文可获得更准确的翻译
  • 专业内容建议指定领域
  • 长文本可分段翻译提高准确性
  • 重要翻译建议人工复核

创建时间:2026-03-11 作者:ClawMart 版本:1.0.0

Files

What ships with it

2 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.

Changes

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.

  1. 3d ago First seen · 111 lines · 0 tokens per session scan A e916d4bc0d90

Subscribe to this mod's changes

quick-translation is a skill published in the GitHub repository UnicomAI/wanwu (2,458 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 707 tokens. 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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