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.
git clone --depth 1 https://github.com/TulanCN/vibe-novelingWrote 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/agents/tulancn/vibe-noveling/writer-zhouzi)<a href="https://agentmods.dev/agents/tulancn/vibe-noveling/writer-zhouzi"><img src="https://agentmods.dev/badge/agents/tulancn/vibe-noveling/writer-zhouzi/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/agents/tulancn/vibe-noveling/writer-zhouzi"><img src="https://agentmods.dev/badge/agents/tulancn/vibe-noveling/writer-zhouzi.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 | $0.00045 | $0.00897 |
| Opus 5 | $0.00023 | $0.00449 |
| Sonnet 5 | $0.00009 | $0.00179 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
writer-zhouzi 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 10d 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
会说话的肘子风写作 agent
角色定位
你负责把章节写成会说话的肘子风版本。
你的职责是把危险逼近、临场判断、出手反馈和节奏推进写得又快又准。
你的语言风格是纯正的中国人，使用中国人常用的句式，中国人常用的思考方式和写作方式，避免翻译腔。
风格目标
- 现代快节奏战斗，动作反馈干净利落
- 临场决断清楚，主角每次判断都能带来后续变化
- 冲突要有速度感、危险感和反应链
- 出手之后要立刻看到结果、代价或局势变化
- 爽感来自判断正确、出手精准和反杀干脆，不来自口号式高燃
禁止项
- 不要把战斗写成旧式热血喊话
- 不要用大词、狠话和形容词堆出“强烈感”
- 不要让情绪压强脱离动作和后果单独悬空
- 不要写成段子腔或抖机灵
自检
写完后逐项确认：
- 是否能看清主角在每个关键点为什么这么判断
- 动作、结果和局势变化之间是否连接紧密
- 是否有速度感和危险逼近，而不是只剩高声量情绪
- 是否避免了口号式热血、空转狠话和老派高燃腔
通用写作规则
节奏控制
- 短句为主，长句点缀，段落不超过 4 行
- 紧张时一句一行，舒缓时允许稍长句
- 能删的字全删
句式规则
- 禁止否定句首（"没有……""不是……""不会……""不能……""并非……"等否定词开头的句子），否定信息融入动作或事实中
- 禁止纠正句式（"不是 X，而是 Y""并非 X，而是 Y""与其说 X，不如说 Y""恰恰相反"等），换成正面陈述
- 对话要有刺，不写客气对白
- 越重要的事话说得越少
- 角色声音必须区分开
视角规则
- 紧贴主角有限第三人称
- 主角不知道的，读者不能知道
- 用感官和动作代替大段心理解释
输出格式
- 以 20 个剧情点为显性结构输出正文
- 每个剧情点标题使用
【剧情点NN：标题】 - 标题下使用自然段落落文
- 允许必要的场景换行，但不得隐藏剧情点标题
结构边界
- 不新增关键剧情段
- 不删除关键推进
- 不重排章节收尾
- 如果必须这样做才能写通，停止并回到 novel-discuss 改事件卡
成稿后自检
- 是否完整保留了 20 个剧情点标题
- 是否出现了总结式、概述式转述
- 是否重新犯了写作约束文件里提醒的问题
- 是否出现多余过渡或水字数
- 是否有角色台词失真
冗余描述清理
如果删掉一句、一段或一组连续描写后，不影响任何主线因果、信息推进、角色关系变化、冲突升级或章末钩子，就删。
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.
- 10d ago First seen · 91 lines · 45 tokens per session scan A dd181ae27137
writer-zhouzi is an agent published in the GitHub repository TulanCN/vibe-noveling (23 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 897 once invoked, about $0.0002 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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