U-Claw is a portable AI workspace that places an OpenClaw assistant, its configuration, memory, sessions, and tools on a USB drive. Users set it up on supported computers and carry the workspace between them, configuring a model with their own API key. The catalogue contains skills and instructions related to using or preparing this portable setup.
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 dongsheng123132/u-claw --skill china-translategit clone --depth 1 https://github.com/dongsheng123132/u-clawWrote 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/dongsheng123132/u-claw/china-translate)<a href="https://agentmods.dev/skills/dongsheng123132/u-claw/china-translate"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/china-translate/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/dongsheng123132/u-claw/china-translate"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/china-translate.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 | $0.00032 | $0.01218 |
| Opus 5 | $0.00016 | $0.00609 |
| Sonnet 5 | $0.00006 | $0.00244 |
| Haiku 4.5 | $0.00003 | $0.00122 |
Grade A, and why
china-translate 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 12d 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.
What it actually says
中英互译 + 本地化助手
专业的中英双向翻译工具，专注技术文档翻译、产品本地化和文化适配，杜绝机翻腔。
功能概述
- 技术翻译: 编程/AI/互联网领域的专业术语翻译
- UI 本地化: 将英文界面文案翻译为符合中文习惯的表达
- 文化适配: 处理中西文化差异，避免直译造成的误解
- 去机翻腔: 将僵硬的机器翻译改写为自然流畅的中文
- 术语表管理: 保持项目内术语翻译的一致性
使用示例
技术文档翻译
把这段 API 文档翻译成中文，保留代码不翻译（附原文）
UI 本地化
帮我把这些英文按钮文案翻译成中文:
- "Get Started"
- "Learn More"
- "Sign Up for Free"
去机翻腔
这段翻译读起来很别扭，帮我改成自然的中文表达（附译文）
中译英
帮我把这段产品介绍翻译成英文，目标读者是海外开发者
翻译原则
核心准则
- 信: 准确传达原文含义
- 达: 表达通顺，符合目标语言习惯
- 雅: 在准确的基础上追求优美
技术翻译规范
- 代码、变量名、API 名称保持英文原样
- 约定俗成的术语使用通用译法（见术语表）
- 首次出现的术语标注英文原文：机器学习（Machine Learning）
- 保留技术文档的格式和结构
常见术语对照表
| English | 中文（推荐） | 避免使用 |
|---|---|---|
| Machine Learning | 机器学习 | 机械学习 |
| Artificial Intelligence | 人工智能 / AI | 人造智能 |
| Deploy | 部署 | 配置/展开 |
| Repository | 仓库 / 代码仓库 | 存储库 |
| Pull Request | PR / 合并请求 | 拉取请求 |
| Container | 容器 | 集装箱 |
| Middleware | 中间件 | 中间软件 |
| Callback | 回调 | 回叫 |
| Render | 渲染 | 呈现 |
| Token | Token / 令牌 | 代币（非区块链语境） |
| Prompt | 提示词 / Prompt | 提示语 |
| Fine-tune | 微调 | 精调 |
UI 本地化指南
按钮文案
- "Submit" → "提交"（不是"递交"）
- "Cancel" → "取消"
- "Get Started" → "立即开始" / "开始使用"
- "Learn More" → "了解更多"
- "Sign Up" → "注册"（不是"签到"）
提示信息
- "Are you sure?" → "确定要执行此操作吗？"
- "Loading..." → "加载中..."
- "No results found" → "暂无结果"
- "Something went wrong" → "出了点问题，请稍后重试"
注意事项
- 中文 UI 不需要句号（按钮、标签）
- 中英文之间加半角空格: "使用 AI 生成"
- 数字使用半角: "共 3 个结果"
- 避免过长的中文按钮文案（尽量 4 字以内）
机翻腔常见问题
| 机翻腔 | 自然表达 |
|---|---|
| "它是一个非常好的工具" | "这是个很好用的工具" |
| "你可以使用它来..." | "用它可以..." |
| "这将会帮助你..." | "这能帮你..." |
| "基于XXX" | "用XXX" / "通过XXX" |
| "被设计用来" | "专门用于" / "用来" |
适用场景
- 翻译技术文档、README、API 文档
- 产品界面中英文本地化
- 改善机器翻译的输出质量
- 保持项目术语翻译一致性
- 写双语内容（如双语 README）
不适用场景
- 翻译文学作品（需要更高的文学素养）
- 法律/医学等需要专业资质的翻译
- 同声传译或实时翻译
- 非中英语言对的翻译（如日语、韩语）
提升翻译质量的技巧
- 提供上下文：说明文档类型和目标读者
- 指定术语：如果有项目术语表，请提供
- 分段翻译：长文档分段处理效果更好
- 说明语域：正式文档 vs 营销文案 vs 技术博客
- 标注不翻译的部分：代码块、品牌名等
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.
- 12d ago First seen · 127 lines · 32 tokens per session scan A f519313cebae
china-translate is a skill published in the GitHub repository dongsheng123132/u-claw (1,748 stars, last pushed 5d ago), licensed MIT. It adds 32 tokens to every session and 1,218 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 2026-08-30.
Other skills, from other repositories
video-subtitles
Generate SRT subtitles from video/audio with translation support. Transcribes Chinese (FunASR/Whisper), English (Whisper), Hebrew (ivrit.ai), translates between languages, burns subtitles into video. Use for creating captions, transcripts, or hardcoded subtitles.
translation
A translation tool for text, files, spreadsheets, and online-shop product listings between Chinese, English, Japanese, Korean, French, German, Spanish, Thai, Vietnamese, and Indonesian.
qa-testing
Verify your work by actually operating the app or website you changed, instead of assuming it works. Strongly recommended whenever you build, modify, or debug a web app, website, or desktop GUI app. Drive real browsers with the agent-browser CLI and native desktop apps with the cua-driver CLI. These are installed on…
codex-app-threads
Create, list, read, message, wait on, fork, rename, archive, and pin Codex threads (sidebar tasks), plus automations and app navigation, using the app-native codexapp tools. Use when the session uses a custom (non-OpenAI) model, for example deepseek-v4-flash or mimo-v2.5, and the user asks to create a thread or a new…
codex-in-app-browser
Drive the Codex in-app browser (open, navigate, click, type, screenshot, read page state) through the app's own noderepl runtime. Use when the session uses a custom (non-OpenAI) model, for example deepseek-v4-flash or mimo-v2.5, and the user asks to use the in-app browser, open or navigate a page in it, test a local…
panel-app-creator
Create or update the Panel UI component of a complete schema v2 NextClaw Mini App or an explicitly loose local Panel. Use after nextclaw-app-creator selects Panel-only or Panel + Service, or for right-side UI, Service Actions, Agent-powered panels, React/Vite panels, and App bridge capability questions.