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 jianshuo/claude-skills --skill wjs-creating-video-bookgit clone --depth 1 https://github.com/jianshuo/claude-skillsWrote 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/jianshuo/claude-skills/wjs-creating-video-book)<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-creating-video-book"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-creating-video-book/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/jianshuo/claude-skills/wjs-creating-video-book"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-creating-video-book.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 106 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 204 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 145 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 158 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
- medium MCP Rug Pull · line 166 uvx/uv tool run commands without ==version create a rug-pull risk.Fix: Pin the version: uvx package-name==1.2.3
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 | $0.00106 | $0.03639 |
| Opus 5 | $0.00053 | $0.01819 |
| Sonnet 5 | $0.00021 | $0.00728 |
| Haiku 4.5 | $0.00011 | $0.00364 |
Grade A, and why
wjs-creating-video-book 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.
How it starts
The opening of the file, as written. The whole thing — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wjs-creating-video-book
把一本书做成 按章节的 YouTube 视频：每一章用 VoiceDrop 读书的有声书 mp3 作为音轨，从章节内容提炼 1-3 个中心思想，为每个中心思想设计提示词、用 GPT Image 2 生成画面（Ken Burns 缓推 + 交叉淡化），中心思想以大字叠加在画面上，最终合成 1920×1080 横屏视频，上传 YouTube。
What this skill produces
| 维度 | 默认 |
|---|---|
| 尺寸 | 1920×1080 横屏 (16:9)，30fps |
| 粒度 | 一章一支视频（章节 mp3 多长视频就多长） |
| 音轨 | VoiceDrop 读书的章节有声书 mp3（不重新 TTS） |
| 画面 | 每章 1-3 张 GPT Image 2 生成图，Ken Burns 缓推，段间 1s 交叉淡化 |
| 文字 | 每个中心思想：大字标题（≤12 字）+ 一句阐释，淡入淡出，Pillow 渲染 |
| 项目目录 | ~/code/book-videos/<book-slug>/ |
| 输出 | <slug>-chNN.mp4 × N 章 + UPLOAD_META.md |
| 发布 | wjs-uploading-video 上传（横屏普通 video），默认 public |
When this skill fires
- 用户给一本书说「做成视频」「把有声书配上画面发 YouTube」
- 用户跑
/wjs-creating-video-book <书名或书架章节>
When NOT to use
- 要的是 30-90 秒竖屏解说短视频 →
/wjs-converting-text-to-video - 只要有声书 mp3、不要视频 →
/wjs-voicedrop-reading-aloud - 要写书评文章 →
/wjs-publishing-wechat
Core Principle
这是「听为主、看为辅」的视频。 音轨是整章朗读，观众是在"听书"；画面的职责是给眼睛一个可以停留的锚点，不是动画表演。所以：
- 中心思想宁少勿多 — 一章挑 1-3 个真正的支柱观点，一张画面停留几分钟是正常的
- 全书一个视觉风格 — 章与章之间画风必须一致（同一媒介、同一色调家族），观众换章时不出戏
- 画面画具象场景，不画抽象概念 — 「杠杆」画一根撬动巨石的长杆，不画"杠杆"两个字或抽象箭头图表
- 版权自查 — 整章朗读原文 + 公开发布，只适用于公版书或用户拥有权利的书；在版权书先向用户确认再发布
Workflow
Step 0: 项目目录
SLUG=<book-slug> # 优先用书的英文名短 slug（如 naval-almanack）；没有英文名才用拼音
BOOK=~/code/book-videos/$SLUG
mkdir -p $BOOK/chapters/{01,02,...} # 每章一个两位数目录
Step 1: 每章拿到文本 + 有声书 mp3
| 素材 | 来源（按优先级） |
|---|---|
| 章节 mp3 | ① jianshuo.dev 书架有声书已合成的章节 mp3（R2，见 memory [[jianshuo-dev-audiobook]]）直接下载 ② 没有 → 用 /wjs-voicedrop-reading-aloud 从章节文本生成 |
| 章节文本 | 书架页面 / 用户给的 PDF・EPUB（EPUB 先 pandoc x.epub -t plain，pandoc 未装先 brew install pandoc） |
存为 chapters/NN/audio.mp3 和 chapters/NN/chapter.md。
Step 2: 每章提炼 1-3 个中心思想 → ideas.json
读 chapter.md，挑真正的支柱观点。数量跟着音频长度走：<5 分钟 1-2 个，5-15 分钟 2-3 个，>15 分钟也最多 3 个（画面是锚点不是字幕）。
[
{"title": "杠杆是新的钱", "caption": "代码和媒体是无需许可的杠杆", "image": "img-1.png", "start": 0},
{"title": "把自己产品化", "caption": "独特知识乘以杠杆才有复利", "image": "img-2.png", "start": 312}
]
What ships with it
3 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.
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 · 209 lines · 106 tokens per session scan A 9469baeb7b33
wjs-creating-video-book is a skill published in the GitHub repository jianshuo/claude-skills (129 stars, last pushed 22d ago), licensed MIT. It adds 106 tokens to every session and 3,639 once invoked, about $0.0005 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.
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