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 TulanCN/vibe-noveling --skill novel-bookplangit 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/skills/tulancn/vibe-noveling/novel-bookplan)<a href="https://agentmods.dev/skills/tulancn/vibe-noveling/novel-bookplan"><img src="https://agentmods.dev/badge/skills/tulancn/vibe-noveling/novel-bookplan/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/tulancn/vibe-noveling/novel-bookplan"><img src="https://agentmods.dev/badge/skills/tulancn/vibe-noveling/novel-bookplan.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 | $0.00064 | $0.01882 |
| Opus 5 | $0.00032 | $0.00941 |
| Sonnet 5 | $0.00013 | $0.00376 |
| Haiku 4.5 | $0.00006 | $0.00188 |
Grade A, and why
novel-bookplan 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.
How it starts
The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
全书与分卷剧情规划
全书级与分卷级节奏规划。母型 → beats → 卷结构 → 写入 memory/future/。
方法论:Save the Cat(15 Beats + 10 种故事母型),见 references/stc-story-types.md 和 references/stc-hierarchy.md。
两层:
- 全书层:主母型、beat 分布、终局承诺
- 分卷层:承接全书 beat 或形成卷内迷你弧
- 不预设章节数,用卷/职责段/状态变化描述结构
初始化
读 CLAUDE.md 和 memory/future/。首次规划先建最小化 10-book.md;已有规划展示当前状态。
主菜单
A. 从零规划全书 — 母型 + beats + 卷结构
B. 诊断故事母型 — 仅母型识别与选择
C. 规划某一卷 — 在全书蓝图下细化单卷
D. 补完设定后重排 — 根据新设定重校节奏
E. 查看节奏蓝图 — 全书 beats、分卷职责、伏笔时间线
F. 管理 future/ — 记录想法、整理伏笔、维护修订记录
A. 从零规划全书
A1. 全书定位
类型、基调、目标读者、预计体量。
A2. 故事母型诊断
读 references/stc-story-types.md,给 3 个最匹配母型(匹配理由、排除理由、最吃香阶段、易踩坑点)。主母型唯一,副母型可选。
A3. 一句话 → 一段话
压成一句话(主角身份、核心困境、读者承诺、母型气质),确认后展开为 5 句话对应 5 个 Act。
A4. 全书简介
面向读者的承诺书(300-500字),后续所有规划的北极星。用力写,不写模板。
标准:
- 世界观落地:用感官细节写世界,不抽象解释。不是「末日世界」,而是「空气里有铁锈和烧焦橡胶的味道,显示屏滚动播放三年前的旧新闻」
- 金手指锋利:写出具体运作和代价。不是「拥有系统」,而是「预知不是外挂,而是慢性自杀——每救一个人,他就忘了自己曾经是谁」
- 收尾有力:最后一句是读者会截图发朋友的那种
- 只到 Catalyst:简介把读者送进第一章,Midpoint 之后的反转不碰
- 读者承诺具体:末尾 3-4 条,正文必须兑现。好:「你将亲眼见证主角亲手摧毁自己的日记,因为那是他记得她的最后证据」。差:「你将看到一个感人的故事」
简介确认后写入 10-book.md。
A5. 全书节奏蓝图
完整 15 beats,标注对应卷、卷内位置、核心事件、状态变化、是否锁定。需要黄金三章的在 Vol-01 标前三章钩子和追更理由(非三章型开篇直接说明,不机械硬压)。
A6. 分卷节奏卡
beats 拆到分卷。每卷含:卷目标、卷功能、承接 beat、起点状态、Catalyst、Midpoint、坠点/最低谷、卷末钩子、伏笔埋设/回收,附 ≥3 个场景级关键事件(一句话可直接转写作指令)。卷内不必凑齐 15 beats,但起点、升级点、卷末变化、卷末钩子缺一不可。
A7. 角色弧线 + 伏笔时间线
主要角色补弧线(动机/目标/冲突/顿悟),标注关键关系转折及具体情感变化(非仅事件驱动),顿悟点对齐全书关键 beat。输出伏笔表和困境递进表。
A8. 校验与保存
4 项校验(主母型贯穿、beats 有落点、分卷职责不重复、允许后续修订)通过后写入 10-book.md、20-threads.md 与对应卷卡。附 ≥2 条具体风险提示及应对建议。
B. 诊断故事母型
读 references/stc-story-types.md,给 3 个最匹配母型,说明承诺感和风险。选定后写入 10-book.md。
C. 规划某一卷
C1. 读全书蓝图
不允许脱离全书单独造卷。输出当前卷定位(承接 beat、前一卷结束状态、本卷应回答/不能提前揭开的内容)。
C2. 卷目标与卷承诺
主角完成什么、读者想看什么、冲突类型、卷末必须发生的变化。
C3. 卷内节奏卡
短卷/过桥卷用压缩卡(起点→升级→反转→坠点/胜利→钩子),主力大卷用完整卷内 STC。
C4. 拆职责段
卷内职责段(新局面 → 兑现承诺感 → 关键反转 → 压力加码 → 坠点/胜利+新钩子),不预设每段章数。保存到 30-volumes/vol-xx.md。
D. 补完设定后重排
D1. 影响评估
4 类判定:不影响节奏 / 影响某卷冲突 / 影响 beat 落点 / 影响主母型承诺(警惕漂移)。
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 · 142 lines · 64 tokens per session scan A 1496cb24b57d
novel-bookplan is a skill published in the GitHub repository TulanCN/vibe-noveling (23 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 1,882 once invoked, about $0.0003 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…