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-searchgit 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-search)<a href="https://agentmods.dev/skills/dongsheng123132/u-claw/china-search"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/china-search/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-search"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/china-search.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 | $0.00024 | $0.00771 |
| Opus 5 | $0.00012 | $0.00385 |
| Sonnet 5 | $0.00005 | $0.00154 |
| Haiku 4.5 | $0.00002 | $0.00077 |
Grade A, and why
china-search 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
在无法访问 Google 的环境下，通过 curl 调用百度、搜狗、Bing 中国等国内搜索引擎获取信息。 What it actually says
国内搜索引擎助手
在无法访问 Google 的环境下，通过 curl 调用百度、搜狗、Bing 中国等国内搜索引擎获取信息。
功能概述
- 百度搜索: 中文信息最全的搜索引擎
- 搜狗搜索: 微信公众号文章搜索利器
- Bing 中国: 国际信息 + 国内可访问
- 搜索优化: 帮你构造更精准的搜索关键词
- 结果整理: 将搜索结果整理为结构化信息
搜索命令
百度搜索
curl -s -L "https://www.baidu.com/s?wd=关键词" \
-H "User-Agent: Mozilla/5.0" | head -200
搜狗搜索（含微信文章）
# 网页搜索
curl -s -L "https://www.sogou.com/web?query=关键词" \
-H "User-Agent: Mozilla/5.0"
# 微信文章搜索
curl -s -L "https://weixin.sogou.com/weixin?query=关键词" \
-H "User-Agent: Mozilla/5.0"
Bing 中国搜索
curl -s -L "https://cn.bing.com/search?q=关键词" \
-H "User-Agent: Mozilla/5.0"
使用示例
搜索信息
帮我搜索"DeepSeek V3 发布时间和新特性"
搜微信文章
帮我在搜狗搜索最近关于"AI Agent"的微信公众号文章
对比搜索
分别用百度和Bing搜索"2024年中国GDP"，对比结果
精准搜索
帮我搜索 site:zhihu.com "大模型部署"相关的知乎回答
搜索技巧
| 语法 | 说明 | 示例 |
|---|---|---|
| "" | 精确匹配 | "人工智能" |
| site: | 限定网站 | site:zhihu.com AI |
| filetype: | 限定文件类型 | filetype:pdf 机器学习 |
| - | 排除关键词 | 苹果 -手机 |
| intitle: | 标题含关键词 | intitle:教程 Python |
适用场景
- 需要搜索中文互联网信息
- Google 不可用时的替代方案
- 专门搜索微信公众号文章
- 需要搜索国内网站的特定内容
- 查找百度百科、知乎等平台信息
不适用场景
- 需要搜索英文/国际信息（建议使用 WebSearch 工具）
- 需要实时热搜排行（搜索结果有延迟）
- 需要搜索被百度屏蔽的敏感内容
- 需要大量爬取搜索结果（有反爬限制）
注意事项
- curl 获取的是 HTML 原始内容，需要解析提取有用信息
- 百度搜索有反爬机制，频繁请求可能被拦截
- 搜狗微信搜索是查找公众号文章的最佳渠道
- Bing 中国版内容审核较百度宽松
- 建议添加 User-Agent 头部模拟浏览器访问
- 部分搜索结果链接需要二次跳转才能获取真实 URL
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 · 99 lines · 24 tokens per session scan A 99634bd6621f
china-search is a skill published in the GitHub repository dongsheng123132/u-claw (1,748 stars, last pushed 4d ago), licensed MIT. It adds 24 tokens to every session and 771 once invoked, about $0.0001 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.
Other skills, from other repositories
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-router-media
Generate video, music, speech, or images with the operator's MiniMax Token Plan subscription through the codex-router media CLI. Use when the session runs a MiniMax custom (non-OpenAI) model (for example minimax-m3) with the MiniMax Token Plan provider connected, and the user explicitly asks to create a video, a song…
codex-computer-use
Control local apps through Computer Use (the @oai/sky runtime) inside the Codex app. Use when the session uses a custom (non-OpenAI) model, for example deepseek-v4-flash or mimo-v2.5, and the user asks to control the computer, operate a desktop app's UI, use Safari or Chrome through computer use, click or type in an…
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…
codex-router
Orientation for custom (non-OpenAI) models running in the Codex app through the codex-router proxy. Explains that the app's native tools arrive as flattened codexapp and mcp names, that the router restores them so the app executes them, which companion skills to read before threads, browser, or computer-use work, and…