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 Anarcadia/chuanban-chaishu-skills --skill fen-zhang-jie-gai-kuogit clone --depth 1 https://github.com/Anarcadia/chuanban-chaishu-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/anarcadia/chuanban-chaishu-skills/fen-zhang-jie-gai-kuo)<a href="https://agentmods.dev/skills/anarcadia/chuanban-chaishu-skills/fen-zhang-jie-gai-kuo"><img src="https://agentmods.dev/badge/skills/anarcadia/chuanban-chaishu-skills/fen-zhang-jie-gai-kuo/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/anarcadia/chuanban-chaishu-skills/fen-zhang-jie-gai-kuo"><img src="https://agentmods.dev/badge/skills/anarcadia/chuanban-chaishu-skills/fen-zhang-jie-gai-kuo.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 | $0.00073 | $0.00770 |
| Opus 5 | $0.00036 | $0.00385 |
| Sonnet 5 | $0.00015 | $0.00154 |
| Haiku 4.5 | $0.00007 | $0.00077 |
Grade A, and why
fen-zhang-jie-gai-kuo 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
分章节概括
对已拆分的小说进行分章节概括。采用 主调度 + 分组 sub-agent 架构。
⚠️ 关键约束（必读）
绝对禁止并行启动 sub-agent。必须严格串行执行。
- ❌ 禁止：同时启动多个组的 sub-agent
- ❌ 禁止：在前一个 sub-agent 返回结果前启动下一个
- ✅ 必须：等待组 N 完成 → 确认结果 → 再启动组 N+1
违反后果：后组依赖前组的 last_group_summary，并行会导致上下文断裂。
编排模式
当由 chai-shu 主入口编排调用时（自动化拆书或用户选择了多项分析）：
- 跳过欢迎页输出
- 完成后返回状态摘要（完成数量、产出文件路径列表）
- 由主入口统一向用户呈现报告和后续选项
独立触发时（用户直接说"分章节概括"等）：正常显示欢迎页。
前置依赖
必须先完成「拆分扫描」，确保 {书名}/拆分/ 目录存在。
核心配置
分组大小: 3 章/组
每组输出: 1篇完整概括，严格限定 500 字
工作目录: {ROOT}/Factory/拆书/
执行模式: 严格串行（禁止并行）
架构说明
主对话（轻量调度）
│
├─→ 组1 sub-agent (读取+概括+写入所有文件)
├─→ 组2 sub-agent (读取+概括+写入所有文件)
└─→ ...
- 主对话：仅负责计算参数、启动 sub-agent、确认完成、显示进度
- 组 sub-agent：完成全部工作（读取章节、撰写概括、更新所有全局文件）
优化收益：主线上下文消耗减少 70-80%
产出文件
| 文件 | 说明 |
|---|---|
| 概括/组N_第X-Y章_概括.md | 每组概括 |
| 全书概括.md | 累积更新的全书概要 |
| 人物和设定/名词表.md | 核心人物列表 |
| 概括/_progress.json | 断点续传进度 |
注意事项
- sub-agent 完成全部写入：主对话不执行 Edit 操作
- 名词表只增不改：保持人物称呼一致
- sub-agent 用 sonnet：性价比最优
References
- workflow.md - 完整执行步骤
- sub-agent-prompt.md - Sub-agent 提示词模板
⚠️ 执行前必读：references/workflow.md
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.
- 12d ago First seen · 96 lines · 73 tokens per session scan A 66a6a169055a
fen-zhang-jie-gai-kuo is a skill published in the GitHub repository Anarcadia/chuanban-chaishu-skills (44 stars, last pushed 5mo ago), licensed MIT. It adds 73 tokens to every session and 770 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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