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 renwu-guanxigit 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/renwu-guanxi)<a href="https://agentmods.dev/skills/anarcadia/chuanban-chaishu-skills/renwu-guanxi"><img src="https://agentmods.dev/badge/skills/anarcadia/chuanban-chaishu-skills/renwu-guanxi/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/renwu-guanxi"><img src="https://agentmods.dev/badge/skills/anarcadia/chuanban-chaishu-skills/renwu-guanxi.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 | $0.00063 | $0.01011 |
| Opus 5 | $0.00032 | $0.00505 |
| Sonnet 5 | $0.00013 | $0.00202 |
| Haiku 4.5 | $0.00006 | $0.00101 |
Grade A, and why
renwu-guanxi 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- shijian-xian — 92% identical, 76 lines differ
What it actually says
人物关系概要（拟人阅读模式）
采用模拟人类阅读小说的方式：先建立假设，带着问题阅读，持续记录笔记，最终归纳结论。
⚠️ 关键约束（必读）
主进程串行执行 + 笔记文档持续维护
- ✅ 每次阅读后更新笔记文档，避免上下文爆炸
- ✅ 每10次阅读后询问用户是否继续
- ✅ 只记录主角相关 + 重要配角 + 反派一层
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"人物概括"等）：正常显示欢迎页。
前置依赖
必须先完成「分章节概括」，确保以下文件存在：
{书名}/概括/目录（章节概括文件）{书名}/全书概括.md{书名}/人物和设定/名词表.md
核心配置
工作目录: {ROOT}/Factory/拆书/
执行模式: 主进程串行 + 笔记持续维护
用户确认: 每10次阅读后询问
输出目录: {书名}/人物和设定/
执行阶段
阶段1：角色分析与假设
│
├─ 读取全书概括 + 名词表
├─ 推测角色重要程度（主角、女主、CP、反派）
└─ 输出：初步假设 → _分析笔记.md
│
阶段2：顺序阅读与笔记维护
│
├─ 带着假设，顺序阅读相关章节概括
├─ 每次阅读后更新笔记文档
├─ 笔记记录：线索、思考过程、关系发现
└─ 每读取10次后询问用户是否继续
│
阶段3：用户确认与归纳
│
├─ 用户确认后，根据笔记归纳全书角色地位
└─ 输出：角色地位.yaml
│
阶段4：深入关系挖掘
│
├─ 加载全书概要 + 角色地位资料
├─ 如有不明确的关系，继续串行阅读原文章节
├─ 记录人物关系笔记
└─ 输出：人物关系.yaml
│
阶段5：生成概要图
│
├─ 基于两份文档生成人物关系概要图
├─ 仅记录与主角相关的关系
└─ 输出：关系图谱.md（Mermaid格式）
产出文件
| 文件 | 位置 | 用途 |
|---|---|---|
| 分析笔记 | {书名}/人物和设定/_分析笔记.md |
过程记录 |
| 角色地位 | {书名}/人物和设定/角色地位.yaml |
角色重要程度 |
| 人物关系 | {书名}/人物和设定/人物关系.yaml |
关系数据 |
| 关系图谱 | {书名}/人物和设定/关系图谱.md |
Mermaid 可视化 |
| 进度文件 | {书名}/人物和设定/_progress.json |
增量更新进度 |
增量更新
支持增量更新：
- 读取
_progress.json识别已处理章节 - 仅处理新增章节
- 加载已有的角色地位和人物关系文档进行增量更新
References
- workflow.md - 完整执行步骤
- yaml-schema.md - YAML 结构定义
⚠️ 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 · 119 lines · 63 tokens per session scan A 82743d5a75ee
renwu-guanxi is a skill published in the GitHub repository Anarcadia/chuanban-chaishu-skills (44 stars, last pushed 5mo ago), licensed MIT. It adds 63 tokens to every session and 1,011 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.
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