story-long-analyze

story-long-analyze is a skill for Claude Code, Codex from uu201/character-arc. It costs 175 tokens per session (6,303 once invoked), scanned A, original, MIT.

A structured process for deeply analysing a long online novel, starting with its opening three chapters and continuing chapter by chapter.

In plain words
What is it for?
It is for extracting chapter summaries, characters, world rules, relationships, pacing, and story structure into a dedicated analysis library.
Why use it?
It turns a large manuscript into organised notes while preserving the original text and checking new findings against earlier ones.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: reads .claude/ paths; names the AskUserQuestion tool; built for openclaw.

Good fit It is for extracting chapter summaries, characters, world rules, relationships, pacing, and story structure into a dedicated analysis library.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uu201/character-arc/story-long-analyze
Install

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.

Any agent
npx skills add uu201/character-arc --skill story-long-analyze
Clone the repo
git clone --depth 1 https://github.com/uu201/character-arc

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for story-long-analyze

README.md
[![agentmods](https://agentmods.dev/badge/skills/uu201/character-arc/story-long-analyze/github.svg)](https://agentmods.dev/skills/uu201/character-arc/story-long-analyze)
Your own site
<a href="https://agentmods.dev/skills/uu201/character-arc/story-long-analyze"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/story-long-analyze/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.

agentmods 80×15 button for story-long-analyze

Your own site · 80×15
<a href="https://agentmods.dev/skills/uu201/character-arc/story-long-analyze"><img src="https://agentmods.dev/badge/skills/uu201/character-arc/story-long-analyze.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 175 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,303 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00175 $0.06303
Opus 5 $0.00088 $0.03152
Sonnet 5 $0.00035 $0.01261
Haiku 4.5 $0.00017 $0.00630

Measured 11d ago against content hash 164727b1f061, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

story-long-analyze 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.

resources/skills/oh-story-claudecode/story-long-analyze/SKILL.md · 316 lines

How it starts

The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.

story-long-analyze:长篇网文拆文

你是网络小说结构分析师。

核心信念:看懂别人的爆款,才能写出自己的爆款。


Phase 1:确认拆解对象 + 进入管道

问用户:「你要拆哪本书?(书名+平台)有原文文件路径吗?」

如果没有明确目标,按题材或用户想写的类型推荐 2-3 本对标作品。

统一入口

确认拆解对象后直接进入拆解管道(Phase 2)。没有快速/深度分叉——只有一条深度拆解管道,跑到 Stage 1(黄金三章)后自动停靠产出快速预览报告。

无文本路径时:如果用户没有提供原文文件路径、也没有在对话中贴出原文,引导用户提供原文——「请提供这本书的原文文件路径,或直接把原文贴给我,我从黄金三章开始拆。」拿到原文后进入管道。


Phase 2:深度拆解管道

输出目录

默认输出到 拆文库/{书名}/(项目根目录下)。用户指定了其他路径时按用户指定路径输出。

已有分析利用

深度拆解开始前,检查是否已有部分拆解结果

  1. 检查 拆文库/{书名}/ 目录下是否存在已有的拆文文件
  2. 如果存在 _progress.md,读取断点信息,从断点恢复(已有恢复机制)
  3. 如果存在 角色/.md 或 设定/.md,读取已有的角色和设定数据
  4. 将已有数据作为交叉验证基线:
    • 新提取的角色信息与已有角色数据对比,检查一致性
    • 新发现的设定细节与已有设定合并,标注信息来源(新提取 vs 已有)
    • 如有冲突(如同角色已有文件中名字不同),在输出中标注冲突让用户裁定
  5. 避免重复提取已有信息,提升处理效率

原文备份(管道前置步骤)

拆解开始前,必须先备份原文

  1. 检查 拆文库/{书名}/原文/ 目录是否已存在
  2. 如果不存在,从用户提供的源路径复制原文文件到 拆文库/{书名}/原文/
  3. 如果用户未提供源文件路径(直接在对话中贴文本),将原始文本保存到 拆文库/{书名}/原文/原文.md
  4. 备份完成后验证:
    • 源文件路径模式:确认 原文/ 目录下的文件数量和大小与源文件一致
    • 对话贴文本模式:确认 原文.md 文件非空(>0 bytes)
  5. 此步骤确保即使拆文过程中出现异常,原始材料不会丢失

输出目录结构

拆文库/{书名}/
├── 原文/
│   └── 原文.txt          # 扩展名随源文件;对话直接贴入的文本存为 原文.md
├── 概要.md
├── 章节/
│   ├── 第1章_深度拆解.md
│   ├── 第2章_深度拆解.md
│   ├── 第3章_深度拆解.md
│   ├── 第1章_摘要.md
│   └── ...
├── 快速预览.md
├── 角色/
│   ├── {角色名}.md
│   └── 角色关系.md
├── 剧情/
│   ├── {剧情标题}.md
│   ├── 故事线.md
│   └── 散落情节.md
├── 设定/
│   ├── 世界观/
│   │   ├── 背景设定.md   # 核心规则 + 特殊设定(无法独立的内容合并)
│   │   ├── 力量体系.md
│   │   ├── 地理.md
│   │   └── 金手指.md
│   └── 势力/
│       └── {势力名}.md   # 内容 >= 200 字时独立;不足合并到 世界观/背景设定.md
├── 拆文报告.md
├── 文风.md          # Stage 6 文风:句长/标点/对话潜台词/情绪交替 + 原文锚点 few-shot
└── _progress.md

预留产物(当前不写)剧情/节奏.md(爽点密度 / 章节情绪曲线)和 剧情/时间线.md(全书时间标记聚合)是 Stage 3 的预留输出,当前管道不产出这两个文件——等 story-long-write 日更循环加入对应读取逻辑后再启动。不要把这两份文件当作既有契约。

管道主体:Stage 0-5

这是 story-long-analyze 唯一的执行管道。Stage 0-1 跑完后自动停靠产出快速预览报告(见下「Stage 1 停靠点」),用户确认后从 Stage 2 续跑。

预期耗时提示:开始前根据章节数给用户一个粗估:<50 章通常 30-60 分钟;50-200 章通常 1-3 小时;>200 章可能需要多轮会话。Stage 2 可并行提取,但 Stage 3-6 仍依赖前序产物,需按阶段推进。

Read the full file on GitHub · 316 lines

Files

What ships with it

6 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.

Changes

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.

  1. 11d ago First seen · 316 lines · 175 tokens per session scan A 164727b1f061

Subscribe to this mod's changes

story-long-analyze is a skill published in the GitHub repository uu201/character-arc (559 stars, last pushed today), licensed MIT. It adds 175 tokens to every session and 6,303 once invoked, about $0.0009 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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