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 shijian-xiangit 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/shijian-xian)<a href="https://agentmods.dev/skills/anarcadia/chuanban-chaishu-skills/shijian-xian"><img src="https://agentmods.dev/badge/skills/anarcadia/chuanban-chaishu-skills/shijian-xian/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/shijian-xian"><img src="https://agentmods.dev/badge/skills/anarcadia/chuanban-chaishu-skills/shijian-xian.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 | $0.00066 | $0.00867 |
| Opus 5 | $0.00033 | $0.00434 |
| Sonnet 5 | $0.00013 | $0.00173 |
| Haiku 4.5 | $0.00007 | $0.00087 |
Grade A, and why
shijian-xian 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.
This is a copy
92% identical to renwu-guanxi — 76 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
事件线追踪（拟人确认模式）
先用现有资料直接梳理，产生疑问时再回到原文确认，最终综合归档。
⚠️ 关键约束（必读）
梳理规则：
- ✅ 只梳理核心主线 + 2-3个副主线，多了不归纳
- ✅ 感情线已在全书概括中总结，不作为事件线处理
- ✅ 最多10次回到原文阅读确认
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"事件概括"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: 主进程执行 + 拟人确认
原文确认: 最多10次
输出目录: {书名}/事件线/
执行阶段
阶段1：初次事件线梳理
│
├─ 读取：全书概括 + 名词表 + 分章节概括
├─ 直接梳理核心主线 + 2-3个副主线
└─ 输出：初次事件线追踪.md
│
阶段2：审视与确认（拟人确认模式）
│
├─ 主进程审视初次结果
├─ 如有疑问，回到原文阅读确认
├─ 撰写事件线笔记文档
└─ 最多10次回到原文阅读
│
阶段3：综合归档
│
├─ 结合「初次事件线追踪」+「事件线笔记」
└─ 输出：事件线.yaml + 时间轴.md
产出文件
| 文件 | 位置 | 用途 |
|---|---|---|
| 初次事件线追踪 | {书名}/事件线/初次事件线追踪.md |
初次梳理结果 |
| 事件线笔记 | {书名}/事件线/_事件线笔记.md |
确认过程记录 |
| 事件线档案 | {书名}/事件线/事件线.yaml |
最终结构化数据 |
| 时间轴 | {书名}/事件线/时间轴.md |
Mermaid 可视化 |
| 进度文件 | {书名}/事件线/_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
- 增量更新事件线档案
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 · 105 lines · 66 tokens per session scan A 030f108fd0a4
shijian-xian is a skill published in the GitHub repository Anarcadia/chuanban-chaishu-skills (44 stars, last pushed 5mo ago), licensed MIT. It adds 66 tokens to every session and 867 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to renwu-guanxi, differing in 76 lines, and is treated as a copy.
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