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 zhihu-writergit 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/zhihu-writer)<a href="https://agentmods.dev/skills/dongsheng123132/u-claw/zhihu-writer"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/zhihu-writer/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/zhihu-writer"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/zhihu-writer.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 | $0.00030 | $0.00933 |
| Opus 5 | $0.00015 | $0.00466 |
| Sonnet 5 | $0.00006 | $0.00187 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
zhihu-writer 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 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.
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
知乎回答/文章写作助手
帮助创作者写出高赞、高收藏的知乎内容，包括问题回答和专栏文章。
功能概述
- 回答结构: 先说结论 → 展开论证 → 总结升华
- 专业语气: 知乎特有的"专业但不装"的表达风格
- 引用规范: 数据来源标注、论文引用格式
- 话题关联: 推荐关联话题标签提升曝光
- 盐值优化: 内容质量建议，提升知乎盐值
回答结构模板
【开头】直接回答问题 + 亮明立场（1-2句）
"作为一个做了5年XX的人，我的回答是：..."
【分割线】
---
【正文】分点论述，有理有据
一、第一个论点
论据 + 数据/案例支撑
（可配图表增强说服力）
二、第二个论点
论据 + 个人经验
三、第三个论点
论据 + 行业分析
【总结】回扣问题，给出实操建议
【引流】（可选）
更多XX内容可以关注我的专栏：XXX
使用示例
写回答
帮我回答知乎问题"普通人如何开始学习AI？"，要专业但通俗
写专栏文章
帮我写一篇知乎专栏文章，主题是"为什么我不建议用ChatGPT学编程"
优化回答
我的这个回答数据不好，帮我分析并改写（附原文）
蹭热点
最近DeepSeek很火，帮我写一个相关的知乎回答思路
知乎写作风格指南
语气要点
- 自信但不傲慢: "以我的经验来看" 而非 "我告诉你们"
- 专业但易懂: 技术术语需要解释，不要秀词汇量
- 有态度但包容: 可以有观点，但尊重不同立场
- 真诚分享: 多用个人经验和案例，少用空洞理论
格式要点
- 段落清晰，善用加粗标注重点
- 长回答用 h2/h3 分节
- 数据和引用标明来源
- 适当使用列表和表格整理信息
- 配图要有信息量，不要纯装饰
盐值优化建议
- 内容质量: 回答字数建议 500-3000 字，有干货
- 原创度: 避免复制粘贴，用自己的语言表达
- 互动: 回复评论，参与讨论
- 领域专注: 持续在 2-3 个话题下创作
- 举报违规: 适当举报，提升社区贡献分
适用场景
- 回答知乎热门问题获取曝光
- 撰写知乎专栏原创文章
- 优化已有回答提升排名
- 建立知乎个人品牌
- 通过知乎内容引流
不适用场景
- 写小红书风格的轻松内容（请用 xiaohongshu-writer）
- 写微博短内容（请用 weibo-poster）
- 知乎广告/软文（违反社区规范）
- 需要实时查询知乎热榜数据
高赞回答的共同特征
- 开头抓人: 第一句话就让人想读下去
- 有独特视角: 不要重复其他高赞答案的观点
- 有实质内容: 数据、案例、个人经验缺一不可
- 排版舒适: 移动端阅读友好
- 结尾有力: 回扣问题，留下思考空间
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 · 112 lines · 30 tokens per session scan A b215eb8c0d8d
zhihu-writer is a skill published in the GitHub repository dongsheng123132/u-claw (1,748 stars, last pushed 5d ago), licensed MIT. It adds 30 tokens to every session and 933 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
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…