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.
Borrowing it
Nothing to install: this file belongs to eternityspring/shuohao-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/eternityspring/shuohao-skills/main/CLAUDE.mdgit 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/instructions/eternityspring/shuohao-skills/claude-md)<a href="https://agentmods.dev/instructions/eternityspring/shuohao-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/eternityspring/shuohao-skills/claude-md/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/instructions/eternityspring/shuohao-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/eternityspring/shuohao-skills/claude-md.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 | $0.00398 | $0.00398 |
| Opus 5 | $0.00199 | $0.00199 |
| Sonnet 5 | $0.00080 | $0.00080 |
| Haiku 4.5 | $0.00040 | $0.00040 |
Grade A, and why
shuohao-skills CLAUDE.md 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 9d 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
CLAUDE.md
行为规则
- 中文文案（README、SKILL.md、报告界面标签）不用单字词：「保留/砍掉/合并」不写成「保/砍/合」，「安装」不写成「装」，「使用」不写成「用」。章节标题同样适用。
- skill 必须自包含、可单独拷走：不依赖任何第三方 skill（包括官方 skill）。外部方法论学习后内化成本仓库自己的 references 文档，注明学习来源。
- 样例数据先定故事，再定分镜。 反过来做会把自己焊死：画面一旦写实（「桌上摆着一封信，父亲按着不给」），之后每次「换故事」都只是给同一个动作换一个动机，三版听起来是同一版。故事没定之前不要写分镜、更不要出图。
- 每个 skill 的样例数据必须是它自己的，不借用兄弟 skill 的样例。借来的样例既是断链（skill 要能整个拷走），也只能展示别人那一种题材。
- 渲染产物（
gallery.html、*-report.html）不进版本控制，它们每次render都能重新生成。 - 门失败累积（
.gates.jsonl+stats）目前只在 novel-storyboard 上。 这是有意的：先在真实项目里用一段时间，确认stats出来的东西真的指向了该改的规则，再决定要不要推广到其余五个。如果长期没人打开它，说明这个功能不该做，推广只会把错误复制五份。 不要主动再提推广。
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.
- 9d ago First seen · 11 lines · 398 tokens per session scan A 283ac8ebfe9a
shuohao-skills CLAUDE.md is an instructions file published in the GitHub repository eternityspring/shuohao-skills (3,123 stars, last pushed 13d ago), licensed Apache-2.0. It adds 398 tokens to every session, about $0.0020 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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