shuohao-skills is a collection of agent skills for turning a novel into production materials for an AI short-drama pipeline, including character profiles, outlines, art references, scripts, and storyboards. It is for creators using Claude Code or Codex to plan and prepare AI-generated short videos. The catalogue add-ons implement the separate stages of this workflow and can also assemble their reports.
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 eternityspring/shuohao-skills --skill novel-storyboardgit clone --depth 1 https://github.com/eternityspring/shuohao-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/eternityspring/shuohao-skills/novel-storyboard)<a href="https://agentmods.dev/skills/eternityspring/shuohao-skills/novel-storyboard"><img src="https://agentmods.dev/badge/skills/eternityspring/shuohao-skills/novel-storyboard/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/eternityspring/shuohao-skills/novel-storyboard"><img src="https://agentmods.dev/badge/skills/eternityspring/shuohao-skills/novel-storyboard.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 | $0.00349 | $0.04329 |
| Opus 5.5 | $0.00140 | $0.01732 |
| Sonnet 5.5 | $0.00070 | $0.00866 |
| Haiku 4.5 | $0.00035 | $0.00433 |
Grade A, and why
novel-storyboard 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 24d 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 — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
novel-storyboard
给 AI 短剧出分镜——管线里第一个直接面对视频模型的层。前提刻在骨子里：镜头是生成出来的，多切一镜的成本几乎为零，所以这里不心疼镜头数量，上限只有一个：视频模型单段生成的时长（默认 15 秒）。
核心机制：镜头认领节拍。 每个镜头声明它覆盖剧本某场的哪几个连续节拍（sceneIndex + beats: [起, 止]），镜头不许跨场次——换景必换镜。这让分镜和剧本的关系变成可机械对账的：
| 交付 | 解决什么 |
|---|---|
| 节拍认领 | 每个节拍被恰好一个镜头认领、顺序不乱——剧本改了重跑 validate，失效的镜头当场点名 |
| 单镜头 ≤ 15 秒 | AI 视频单段生成上限，长对话在这里被强制拆镜（params.maxShotSeconds 按模型改） |
| 台词装得下 | 认领节拍的台词秒数 ≤ 镜头秒数——逐镜检查，不是拍脑袋 |
| 分镜图提示词 + 镜头正文 | 分镜图提示词（frame，中文，直呼角色名）给图像模型配合设定图出图；镜头正文（shot，中文，通用身份）写这几秒发生什么。景别是枚举，中文景别词必须写进分镜图提示词 |
| H3 视频提示词（每段一条） | MiniMax H3 的 I2VA 结构：固定对齐指令 + integrated_multimodal_description + overall_soundscape + non_diegetic_music。认领节拍的台词逐字进 <d>[Chinese] …</d> 块——对白、声景、配乐一段提示词全带上 |
| Seedance 视频提示词（每段一条，程序拼） | 跟 H3 并列。由脚本按官方结构拼：参考图声明、段级走位、逐镜量化字段、台词 {}、音效 <>、配乐 （）、编号约束。模型只写每切的 shot，不写秒数、编号和图片引用 |
| 构图量化字段 | 每段 blocking（谁在左谁在右、间距），每镜焦距／机位／构图／视线落点／焦点／稳定性——不出分镜图时，它们就是构图的全部来源 |
| 生成批次单 | 同场景 + 同光照的镜头归一批，共用同一张环境参考图——AI 版的顺场表，脚本自动汇总 |
| 配音对齐单 | 每句台词对到镜号——TTS 音频贴到哪一段视频，脚本自动汇总 |
{baseDir} = 本文件所在目录。脚本 {baseDir}/scripts/novel-storyboard.mjs，零依赖，node 直接跑。
边界（不做的事）：不写戏不改台词（novel-script 的活）、不出场景/角色/道具设定图（novel-art / novel-characters 的活）、不做视频生成与剪辑合成。口型/唇形同步暂不管——那是生成管线的事。
Step 0 — 定输入与范围
script.json 是硬前提——分镜离开剧本没有意义，validate/render 都必须给 --script。其余上游按有则用：
--outline/--cast：提示词禁人名检查 + 报告里 C01 显示成人名--art：报告里 S01 显示成场景名 + 批次单嵌场景设定图--shots <卡片目录>：可选挂载 shot-recipes 的镜头配方卡库（指向shot-recipes/references/cards，只接受目录不接受导出的 JSON），开第 18 道shot-recipe门。没装 shot-recipes 就别给——本 skill 自包含，不依赖它
一次切几集：跟剧本的批次走（剧本写到哪就分到哪），默认一批 ≤ 3 集。
先定画幅：storyboard.json 顶层 aspectRatio 是分镜与下游出图共同遵守的正式合同，只接受 16:9 或 9:16。没有特别要求时使用 16:9；竖屏短剧明确写 9:16。
Step 1 — seed 工作底稿
node {baseDir}/scripts/novel-storyboard.mjs seed <script.json> --eps 1-3 --aspect 16:9 > <workdir>/storyboard.json
确定性展开：每场的节拍清单（编号、动作/台词、每拍秒数、说话人）进 seedScenes，这就是切镜时的工作底稿；同时把 --aspect 写进顶层 aspectRatio，省略时默认 16:9。每拍几秒是算出来的，不要让模型重新估。 shots 留空，切镜才是模型的活。
What ships with it
21 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.
- assets/report.webp 186 KB
- examples/渡口-storyboard.json 51 KB
- README.en.md 12 KB
- README.md 12 KB
- references/frame.md 3.6 KB
- references/h3-prompt.md 4.0 KB
- references/report-style.md 3.5 KB
- references/schema.md 8.0 KB
- references/seedance-prompt.md 7.3 KB
- references/shot-writing.md 6.0 KB
- references/storyboard-pass.md 6.4 KB
- references/test-fixtures/shot-recipes/hands-tell.md 180 B
- references/test-fixtures/shot-recipes/insert-beat.md 185 B
- references/test-fixtures/shot-recipes/ots-shot-reverse.md 217 B
- references/test-fixtures/upstream/README.md 612 B
- references/test-fixtures/upstream/渡口-art.json 16 KB
- references/test-fixtures/upstream/渡口-cast.json 42 KB
- references/test-fixtures/upstream/渡口-outline.json 9.4 KB
- references/test-fixtures/upstream/渡口-script.json 38 KB
- scripts/novel-storyboard.mjs 108 KB runs code
- scripts/selftest.mjs 48 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.
- 24d ago Changed · +4 lines 2af3bb17fa97
- 1mo ago Changed · -4 lines · -4 tokens per session ea40109af1eb
- 2mo ago First seen · 191 lines · 353 tokens per session scan A 5e7a52d78cbb
novel-storyboard is a skill published in the GitHub repository eternityspring/shuohao-skills (6,084 stars, last pushed 12d ago), licensed Apache-2.0. It adds 349 tokens to every session and 4,329 once invoked, about $0.0014 per session on Opus 5.5. 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.
novel-storyboard compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| novel-storyboardeternityspring/shuohao-skills | Skill | 6.1k | 12d ago | Apache-2.0 | A | 349 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |