Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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-converting-text-to-video)<a href="https://agentmods.dev/skills/jianshuo/claude-skills/wjs-converting-text-to-video"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-converting-text-to-video/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-converting-text-to-video"><img src="https://agentmods.dev/badge/skills/jianshuo/claude-skills/wjs-converting-text-to-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00118 | $0.10085 |
| Opus 5 | $0.00059 | $0.05042 |
| Sonnet 5 | $0.00024 | $0.02017 |
| Haiku 4.5 | $0.00012 | $0.01009 |
Grade C, and why
wjs-converting-text-to-video scanned grade C 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
- **改了旁白文字但 TTS 没变（用了缓存）** → `tts_narration.py` 按 chunk `id` 缓存单段 mp3，改文案但 `id` 没变会复用旧音频（症状：`timing.json` 时长和上一版一模一样，明明文字变长了）。重合成前先 `rm -rf narration/ narration.mp3 timing.json` 再跑 How it starts
The opening of the file, as written. The whole thing — 638 lines — stays where its author put it; the contents beside it link to each section on GitHub.
wjs-converting-text-to-video
把一篇王建硕风格的微信公众号 article.md 做成 1080×1920 竖屏、30-90 秒 的中文解说短视频：TTS 旁白 + HyperFrames CSS/GSAP 动画 + 抽象水彩背景 + 转场 SFX。输出 MP4 给视频号 / 抖音 / 小红书 / Reels。
What this skill produces
| 维度 | 默认 |
|---|---|
| 尺寸 | 1080×1920 竖屏 (9:16) |
| 时长 | 30-90 秒 |
| Scene 数 | 5-10 |
| 旁白 | 火山引擎 Volcano TTS，默认阿虎对话男声 |
| 背景 | GPT Image 2 生成的抽象水彩 (bg.png) + blur 30 + 暖黑半透明 overlay |
| 字体 | Noto Sans SC，hero 900，主文字暖奶白 |
| 输出 | <article-folder>/<slug>.mp4（与 video/ 平行，不放 video/ 里） |
| 发布 | 自动上传到 YouTube — Portrait → Shorts，Landscape → 普通 video；重新渲染会替换老视频（不累积） |
When this skill fires
- 用户已有
article.md，说「做成视频」「做一个解说」「讲一遍」 - 用户跑
/wjs-converting-text-to-video <article-folder> - 用户说「把昨天发的那 X 篇都做成视频」之类的批量请求
When NOT to use
- 没有文章稿，只是一个想法 → 先用
/wjs-publishing-wechat写出 article.md，再来 - 用户要的是字幕烧录 / 翻译 / 配音替换 → 用
/wjs-burning-subtitles//wjs-dubbing-video//wjs-localizing-video - 视频要英文 / 西语等非中文 → 本 skill 专注中文 TTS (Volcano 火山引擎)；非中文走 hyperframes 自带 tts 命令 (kokoro 英文还可以)
- 横屏 16:9 → 本 skill 默认竖屏；横屏仅在用户明确要求时改
Core Principle
视频不是文章的可视化朗读，而是文章的视觉重构。
每个 scene 是一个独立的视觉时刻 —— 一个对比、一个排比、一个数字、一个比喻。文字撑满屏幕，黑体加粗，重点字橙色高亮。背景是抽象水彩 (blur 后柔化)，整体调子稳重、克制、有冲击力。
节奏 > 模板。一段 5-10 scene 的视频，如果从头到尾都是"两行对照"的同一种排版，就不是视频，是 slideshow。现代感来自对比 —— 极端字号差、不对称布局、短 scene 与长 scene 交替、纯文字 scene 与几何元素 scene 交替、水彩底 scene 与亮色 punch scene 交替。
默认是平庸的。如果只是从模板表顶端挑几种最容易的，结果一定是"平铺直叙的两行格式"。强制走 Step 1b Scene Mix Rule 配比。
Workflow
Step 1: 设计 5-10 个视觉时刻
读 <article-folder>/article.md，按论证结构拆成 5-10 个 scene（控制在 30-90 秒总时长）。短文（核心 1-2 个要点）做 5-6 scene / 30-50s；长文 8-10 scene / 60-90s。每个 scene 一段叙述（旁白）+ 一个清晰的视觉骨架。
模板表 —— 6 类共 16 种，按需混搭：
A. Hero / Punch（强对比 climax，每片 ≥1，时长 ≤4s）
| 模板 | 适合 |
|---|---|
| A1. 全屏单字 hero | 1-3 字 climax 词撑满屏，字号 280-400px |
| A2. Outline hero | 空心字 -webkit-text-stroke: 4px #f5efe5; color: transparent; |
| A3. Color-flip punch | 整屏背景换亮色（橙/红/金/翠绿等），反白字 |
| A4. Gradient text hero | 大字加 background: linear-gradient(...); -webkit-background-clip: text; |
What ships with it
8 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.
- scripts/bootstrap-project.sh 2.5 KB runs code
- scripts/daily-upload-batch.sh 2.5 KB runs code
- scripts/generate-bg.sh 2.1 KB runs code
- scripts/publish-to-youtube.py 8.4 KB runs code
- scripts/retrofit-bg-image.py 3.9 KB runs code
- scripts/strip-dark-scene-bgs.py 3.4 KB runs code
- scripts/synth-sfx.sh 1.4 KB runs code
- scripts/tts.py 5.7 KB runs code
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 · 638 lines · 118 tokens per session scan C 023091651498
wjs-converting-text-to-video is a skill published in the GitHub repository jianshuo/claude-skills (129 stars, last pushed 22d ago), licensed MIT. It adds 118 tokens to every session and 10,085 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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