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 Xiaoyangy/novel-studio --skill novel-cocreategit clone --depth 1 https://github.com/Xiaoyangy/novel-studioWrote 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/xiaoyangy/novel-studio/novel-cocreate)<a href="https://agentmods.dev/skills/xiaoyangy/novel-studio/novel-cocreate"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-cocreate/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/xiaoyangy/novel-studio/novel-cocreate"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-cocreate.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 | $0.00092 | $0.00551 |
| Opus 5 | $0.00046 | $0.00275 |
| Sonnet 5 | $0.00018 | $0.00110 |
| Haiku 4.5 | $0.00009 | $0.00055 |
Grade A, and why
novel-cocreate 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 11d 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
novel-cocreate：共创规划（多轮澄清）
与 AI 多轮对话澄清需求：AI 主动追问 + 给 1-3 条引导建议，逐轮把模糊想法收敛成一份高质量的
"整本书创作指令"草稿。定稿后落盘 meta/cocreate-prompt.txt，可直接进入 pipeline 创作。
等价于把一次性 --pipeline --prompt 的"一句话"升级成"聊出来的完整指令"。
前置条件
- 已完成首次配置（见
skills/README.md），且 LLM 可用（先novel-check）。 - 需要交互终端（stdin）：这是多轮 REPL，不适合纯管道。
执行
# 给个初始想法开始（也可不带，进入后再输入）
novel-studio --cocreate "我想写一个赛博朋克背景、主角是义体黑客的悬疑长篇"
# 定稿后立即进入创作
novel-studio --cocreate "..." --start
对话中的命令
| 输入 | 作用 |
|---|---|
| 直接回复 | 回答 AI 的追问，推进澄清 |
/draft |
查看当前累积的创作指令草稿 |
/done |
草稿成形后定稿（落盘 + 退出 / 进入创作） |
/quit |
放弃本次共创 |
产物与衔接
- 创作指令草稿：
output/novel/meta/cocreate-prompt.txt - 不带
--start时，可稍后用novel-studio --pipeline --prompt-file output/novel/meta/cocreate-prompt.txt创作 - 也可作为
--pipeline的首阶段：novel-studio --pipeline --stages cocreate,write,review,rewrite,deliver
What ships with it
2 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.
- 11d ago First seen · 40 lines · 92 tokens per session scan A d3723efad908
novel-cocreate is a skill published in the GitHub repository Xiaoyangy/novel-studio (107 stars, last pushed 2d ago), licensed Apache-2.0. It adds 92 tokens to every session and 551 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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