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 douyin-scriptgit 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/douyin-script)<a href="https://agentmods.dev/skills/dongsheng123132/u-claw/douyin-script"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/douyin-script/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/douyin-script"><img src="https://agentmods.dev/badge/skills/dongsheng123132/u-claw/douyin-script.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 | $0.01004 |
| Opus 5 | $0.00016 | $0.00502 |
| Sonnet 5 | $0.00006 | $0.00201 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
douyin-script 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 10d 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
抖音/快手短视频脚本助手
帮你写出完播率高、互动强的短视频脚本，覆盖从选题到发布的全流程。
功能概述
- 前3秒 Hook: 生成抓人眼球的开场白，降低划走率
- 脚本结构: Hook → 内容展开 → 反转/高潮 → CTA
- 时长控制: 根据内容类型推荐最佳时长（15s/30s/60s）
- 话题标签: 推荐热门和垂直话题标签组合
- BGM 建议: 根据内容调性推荐背景音乐风格
脚本结构模板
15秒脚本（适合单一知识点）
【0-3秒】Hook: 抛出反常识/痛点
"你知道吗？90%的人洗脸方式都是错的"
【3-10秒】核心内容: 快速讲解
"正确的方式是...（配合画面演示）"
【10-15秒】CTA: 引导互动
"学会了吗？双击收藏，关注我学更多护肤知识"
60秒脚本（适合干货/故事）
【0-3秒】Hook: 强烈的情绪/悬念
【3-15秒】背景铺垫: 建立场景
【15-40秒】内容展开: 核心信息/故事发展
【40-50秒】反转/高潮: 意想不到的结论
【50-60秒】CTA + 话题标签
使用示例
写脚本
帮我写一个30秒的抖音脚本，主题是"程序员的一天"，搞笑风格
优化开头
我拍了个美食视频，帮我想5个前3秒的hook文案
话题推荐
我要发一个健身教程视频，推荐话题标签和发布时间
改编热门
最近"搭子文化"很火，帮我写一个相关的短视频脚本
前3秒 Hook 公式
- 反常识: "你一直在做的XX其实是错的"
- 数字冲击: "只花了100块，效果比1000块的还好"
- 悬念提问: "猜猜这个东西是干什么的？"
- 情绪共鸣: "打工人看完都沉默了..."
- 结果前置: "最终效果太绝了！往下看做法"
- 身份代入: "如果你也是XX，一定要看完"
话题标签策略
- 大话题（曝光）: #抖音热门 #今日份分享（1-2个）
- 中话题（垂直）: #健身打卡 #美食教程（2-3个）
- 小话题（精准）: #深圳探店 #程序员日常（2-3个）
- 总计 5-8 个标签为最佳
适用场景
- 创作抖音/快手短视频脚本
- 优化视频开头提升完播率
- 为视频选择话题标签
- 策划系列内容的选题方向
- 将长内容改编为短视频脚本
不适用场景
- 写B站中长视频脚本（请用 bilibili-helper）
- 需要真实拍摄指导（本技能专注文案脚本）
- 直播话术（直播场景与短视频逻辑不同）
- 涉及虚假宣传或违规内容
发布建议
- 黄金时段: 早7-9点、午12-14点、晚18-22点
- 频率: 日更或隔日更，保持账号活跃
- 封面: 竖屏 9:16，文字大且少（不超过8字）
- 合拍/合集: 善用抖音合拍功能蹭热度
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.
- 10d ago First seen · 101 lines · 32 tokens per session scan A 4e3ea74958a4
douyin-script is a skill published in the GitHub repository dongsheng123132/u-claw (1,746 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 1,004 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…