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-douban-writegit 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-douban-write)<a href="https://agentmods.dev/skills/xiaoyangy/novel-studio/novel-douban-write"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-douban-write/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-douban-write"><img src="https://agentmods.dev/badge/skills/xiaoyangy/novel-studio/novel-douban-write.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 | $0.00077 | $0.00646 |
| Opus 5 | $0.00039 | $0.00323 |
| Sonnet 5 | $0.00015 | $0.00129 |
| Haiku 4.5 | $0.00008 | $0.00065 |
Grade A, and why
novel-douban-write 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.
What it actually says
novel-douban-write：豆瓣原创长篇专项入口
用 novel-studio 生成一部面向豆瓣阅读的 15W-30W 字原创长篇。该入口是命令层工作流；具体写作标准见 embedded skill story-douban-long-write。
前置条件
- 已完成首次配置（见
skills/README.md）。 - 先跑
novel-check，确认 writer / architect / editor 模型可用。 - 创作需求必须写成 prompt 文件，避免一句话丢失豆瓣约束。
Prompt 模板
把需求写入 豆瓣长篇需求.md，至少包含：
目标平台：豆瓣阅读原创
目标字数：15W-30W
专项规则：使用 story-douban-long-write；写作中默认引入 story-review，前3章、每5章、完稿后都要审查。
作品方向：
- 作者追问：
- 主题：
- 主类型/副类型：
- 目标读者：
- 一句话梗概：
- 叙述人称与语气：
- 不写什么：
如果用户只给了题材，没有主题，先用 novel-cocreate 澄清“为什么写”，再进入流水线。
执行
novel-studio --check
novel-studio --pipeline --prompt-file ./豆瓣长篇需求.md --stages write,review,rewrite,deliver
不要拆成旧的 headless / review / rewrite 直达入口。命令层虽保留兼容别名，但豆瓣专项必须
直接使用 pipeline，让写作、评审、重写和导出共享同一份 meta/pipeline.json 证据。
产物要求
- 正文：
output/novel/chapters/*.md，总字数 15W-30W。 - 评审：
reviews/中保留逐章 review；S1/S2 不应残留到最终导出。 - 导出：TXT/EPUB 成品。
- 另需在项目资料中保留豆瓣提交包：书名候选、标签与简介、提交自检。
质量闸门
不要只使用 novel-write 单独写完。豆瓣专项默认流程是：
novel-check -> novel-cocreate 或 prompt 文件 -> novel-pipeline(write,review,rewrite,deliver) -> 最终人工/agent 检查包装材料。
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.
- 12d ago First seen · 58 lines · 77 tokens per session scan A 1ed71a262c80
novel-douban-write is a skill published in the GitHub repository Xiaoyangy/novel-studio (109 stars, last pushed 3d ago), licensed Apache-2.0. It adds 77 tokens to every session and 646 once invoked, about $0.0004 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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