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 cowritegit 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/cowrite)<a href="https://agentmods.dev/skills/tance-mang/chinese-webnovel-skills/cowrite"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/cowrite/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/cowrite"><img src="https://agentmods.dev/badge/skills/tance-mang/chinese-webnovel-skills/cowrite.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 | $0.00119 | $0.01015 |
| Opus 5 | $0.00060 | $0.00508 |
| Sonnet 5 | $0.00024 | $0.00203 |
| Haiku 4.5 | $0.00012 | $0.00102 |
Grade A, and why
cowrite 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
共写模式(cowrite)
不是"把整章甩给 AI",而是人机一起写。专治作者最常卡的那一下——不是不会写,是不知道下一句写什么。三档力度,作者自己挑。
何时用
- 卡在"下一段/下一句怎么接"
- 想自己掌舵,让 AI 只补一段、给几个方向
- 想一次看几个版本(稳的/反转的/情绪的)挑一个
- 想只定"目标/冲突/情绪",正文交给 AI
三档模式
模式1 | Auto(自动写)—— 爽文提速
按章纲整段写。等于调 expand:给章纲 → 出可发布正文。适合套路爽文、要日更产量时。
模式2 | Assist(辅助写)—— 最常用
作者写一点,AI 接一点。读作者已有的正文 + 前情,续写下一段,并给1 个推荐版 + 2 个备选(见下"多版本格式"),作者选 1/2/3。
- 这一档也是"下一句写什么"的解法:给 2–3 个可走的方向,不替作者拍板。
模式3 | Director(导演模式)—— 作者当导演
作者不写正文,只给目标 / 冲突 / 情绪 / 节奏,AI 出正文,多版本供挑。
- 例:目标=男女主关系升温;冲突=误会;高潮=撑伞 → AI 出 3 版。
多版本格式(重点:正文和分析彻底分区,别堆"版本123")
━━━━━━━━━━ 推荐版本 ★(评分 89)━━━━━━━━━━
推荐原因:人物推进强 / 埋了伏笔 / 情绪稳
风险:情绪稍快
【正文】
……
━━━━━━━━━━ 备选A(75)特点:节奏更快 ━━━━━━━━━━
【正文】
……
━━━━━━━━━━ 备选B(68)特点:感情戏更重 ━━━━━━━━━━
【正文】
……
选择:1 用推荐 | 2 用A | 3 用B | r 重写 | e 我自己改
- 评分是 AI 自评的相对参考(推进/钩子/情绪/风险),不是绝对分;作者最终拍板。
- 一次最多 3 版,别更多——挑起来累。
原则
- 作者掌舵:Assist/Director 给方向、给选项,不替作者定调;推荐≠强制。
- 正文 / 分析分区:正文是正文,评分和理由单独放,别混在一起。
- 接得住前文:续写前对照前情、人设、语言指纹、情绪轨迹、世界状态(调
memory档案),别断片。 - 写完就记:选定的版本要更新进度/情绪轨迹/伏笔(调
memory)。 - 文字仍守网文手感与符号规范(短句、show 不 tell、弯引号""不用「」,见
expand/anti-ai-checklist)。
终端版怎么用(CLI)
/co:辅助写——续写下一段 + 推荐/备选,选数字采用并存档。/director:导演模式——填 目标/冲突/情绪/节奏,出多版。/write [章名]:自动写整段(= expand)。 (见cli/README.md。)
配合
- 整段自动写 →
expand;卡点续写选方向 → 本技能 Assist。 - 选定后更新档案 →
memory;查一致性 →continuity;去 AI 味/打分 →deslop/aidetect。
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 · 67 lines · 119 tokens per session scan A 38f2ac5df9e1
cowrite is a skill published in the GitHub repository tance-mang/chinese-webnovel-skills (58 stars, last pushed 3mo ago), licensed MIT. It adds 119 tokens to every session and 1,015 once invoked, about $0.0006 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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