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 tance-mang/chinese-webnovel-skills --skill expandgit clone --depth 1 https://github.com/tance-mang/chinese-webnovel-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/tance-mang/chinese-webnovel-skills/expand)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/expand"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/expand/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/tance-mang/chinese-webnovel-skills/expand"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/expand.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 | $0.00081 | $0.01432 |
| Opus 5 | $0.00041 | $0.00716 |
| Sonnet 5 | $0.00016 | $0.00286 |
| Haiku 4.5 | $0.00008 | $0.00143 |
Grade A, and why
expand 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.
How it starts
The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.
正文扩写（expand）
把章纲变成可发布的正文，控制好节奏、爽点、字数和钩子。
何时用
- 把章纲/细纲写成正文
- 扩写、续写某一章
- 把一句话剧情扩成完整场景
写作前确认
- 人称：默认第一人称“我”（更沉浸、像写亲身经历，尤其知乎/女频/短篇）。动笔前用一句话表明"默认用第一人称写，要第三人称告诉我"；用户指定第三人称就用第三。全书人称统一。（调
references/pov-guide.md） - 章纲/剧情点：这一章要发生什么（没有就先用
outline出章纲） - 平台 + 字数：单章密度调
references/platform-profiles.md（番茄长篇连载一章 2000–2200 字最佳、起点 2000–3000）；全书还差多少到签约/分发门槛调references/length-standards.md - 人设档案 + 语言指纹：调出本章出场角色的 speech_profile 对照注入，保证人物"声音"一致、不 OOC、不一人一腔（见
skills/dialogue、project-memory.md七） - 前情衔接：上一章结尾的钩子要在本章开头回应；长篇还要核对时间线/资源/伤势/战力是否接得上（见
skills/continuity）
写作要领
节奏
- 开头接钩：第一段回应上章悬念或立刻进入场景，不要拖
- 场景推进：对话 + 动作 + 心理交替，避免大段叙述
- 爽点落地：本章规划的爽点要写到位（调
references/trope-library.md），打脸用"嘲讽→沉默→碾压→围观"四拍 - 章尾断钩：结尾用章尾钩收口（调
references/hook-library.md）
文字
- 短句快节奏：网文忌长难句，多用短句和对话推进
- 画面感：用具体细节代替抽象形容（"他攥紧了拳，指节发白"而非"他很愤怒"）
- 情绪演出来别喊：忌"我很心疼/我好痛苦"，用神态/动作/生理反应/潜台词让读者自己感受（调
references/show-emotion.md，专项改用emotion技能） - 爽感外显：把读者要爽的点写出来——表情、围观者反应、对手的难堪
- 避免 AI 腔：不堆砌排比和空洞抒情，写完可用
deslop检查 - 标点干净：简体网文只用常规标点（。，、？！…… 弯引号""''）。对话用弯双引号""，不用直角引号「」『』；破折号——极少用(一章顶多一次)；不撒 ✦✨◆★ 等装饰符号，分隔场景用空行，章标题纯文字（详见
references/anti-ai-checklist.md七） - 留一点失控感（人味）：别写得太平均太干净太顺——关键处给一个非理性行为、一句没说完的情绪、或一段不收尽的留白，让它像"情绪记录"不像"说明书"（深度调
human技能 /references/human-texture.md） - 句式有呼吸：句长不均，短句长句交错，偶尔甩个 50+ 字长句；用省略号/破折号/换行做停顿，别整齐划一（调
references/sentence-rhythm.md） - 可出双版本：用户要时，给"爽文版（情绪高/反转爽）"+"高级暗黑版（极端/灰度/留刀）"两稿（调
references/dark-style.md）；不要求则默认单版本
对话
- 每个角色说话方式不同（体现人设）
- 对话推进剧情或暴露信息，不闲聊
- 适当留白，不要每句都解释
- 口语化、有潜台词，避免书面 AI 腔（调
references/dialogue-library.md）；要专门打磨台词/金句 → 用dialogue技能
输出
- 直接产出正文（markdown），标题 + 正文
- 字数贴近目标
- 结尾自带章尾钩
- 写完简述：本章爽点是什么、埋/收了哪些钩、字数
连贯性
- 长篇每写几章：用
review查读者留存（钩子/爽点/伏笔），用continuity核对逻辑/时间线/资源/身份/伤势/战力是否前后矛盾 - 重要设定/人物状态/时间推进/战力变化，写完即提示用户更新档案（
memory），否则下一章继续漂
下一步
正文有 AI 味 → deslop（量化打分定位 → aidetect）；爽点不够 → shuangdian；查留存 → review；查逻辑/时间线 → continuity。
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 · 59 lines · 81 tokens per session scan A 4635c5a38ca3
expand is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 81 tokens to every session and 1,432 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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