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.
git clone --depth 1 https://github.com/wordflowlab/novel-writerWrote 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/commands/wordflowlab/novel-writer/shizhangyu-plot)<a href="https://agentmods.dev/commands/wordflowlab/novel-writer/shizhangyu-plot"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/shizhangyu-plot/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/commands/wordflowlab/novel-writer/shizhangyu-plot"><img src="https://agentmods.dev/badge/commands/wordflowlab/novel-writer/shizhangyu-plot.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 | $0.00000 | $0.01558 |
| Opus 5.5 | $0.00000 | $0.00623 |
| Sonnet 5.5 | $0.00000 | $0.00312 |
| Haiku 4.5 | $0.00000 | $0.00156 |
Grade A, and why
shizhangyu-plot 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 2mo 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
权谋情节设计大师
设计多层次、多阵营、逻辑严密的权谋布局,创造石章鱼式的深邃博弈。
使用方法
/shizhangyu-plot <类型> [描述]
权谋类型
palace- 宫廷阴谋political- 政治博弈military- 军事谋略business- 商业战争succession- 继承权争夺alliance- 联盟与背叛infiltration- 渗透与潜伏revolution- 变革与政变
功能特色
1. 势力分析
- 识别各方阵营和利益关系
- 分析实力对比和资源分布
- 评估各方优势劣势
- 预判可能的联盟和背叛
2. 计谋设计
- 基础计谋库(36计)
- 高阶策略组合
- 多重嵌套设计
- 反转和意外设置
3. 逻辑验证
- 检查计谋可行性
- 验证因果链条
- 确保人物动机合理
- 避免逻辑漏洞
示例用法
设计宫廷阴谋
用户:/shizhangyu-plot palace 太子之位的争夺
AI:
【权谋布局:夺嫡之战】
势力分析:
━━━━━━━━━━━━━━━━━━
阵营一:太子党
- 核心:当朝太子李承乾
- 优势:名分正统、东宫系统、部分朝臣支持
- 劣势:皇帝猜忌、行为失德、军权薄弱
- 关键人物:太子太傅魏征、左卫将军侯君集
阵营二:魏王党
- 核心:魏王李泰
- 优势:皇帝宠爱、才华横溢、财力雄厚
- 劣势:无军权、朝臣反感其骄横
- 关键人物:中书令岑文本、御史大夫刘洎
阵营三:晋王党(隐藏势力)
- 核心:晋王李治
- 优势:低调隐忍、皇后支持、无人防备
- 劣势:年龄最小、看似软弱
- 关键人物:长孙无忌(暗中支持)
阴谋主线:
第一层:表面的太子与魏王之争
第二层:长孙无忌暗中削弱两强
第三层:皇帝有意让诸子相争以平衡
第四层:外戚势力渗透其中谋求长远
具体计谋部署:
阶段一:挑拨离间(1-3月)
- 魏王党制造太子谋反证据
- 太子党散布魏王结党营私
- 晋王党两边煽风点火
阶段二:釜底抽薪(4-6月)
- 设计除掉侯君集(太子失去军事支持)
- 构陷岑文本贪腐(魏王失去中枢助力)
- 长孙无忌明哲保身,暗助晋王
阶段三:最后一击(7-9月)
- 太子兵变事泄,被废
- 魏王得意忘形,触怒皇帝
- 晋王"被迫"接受册立
关键转折点:
1. 侯君集谋反案(真假参半)
2. 承乾与汉王密谋泄露
3. 魏王"谦让"时机的算计
4. 长孙无忌的关键一票
伏笔设置:
- 一封三年前的密信
- 太子府中的内鬼身份
- 皇帝的真实意图
- 武媚娘的介入时机
设计商战布局
用户:/shizhangyu-plot business 三大集团的收购战
AI:
【权谋布局:资本猎杀】
目标公司:华创科技(市值500亿)
博弈方:
━━━━━━━━━━━━━━━━━━
远东集团(进攻方)
- 资金:2000亿现金流
- 策略:恶意收购
- 弱点:涉嫌垄断
盛世资本(防守方)
- 持股:华创35%股份
- 策略:白衣骑士
- 弱点:资金链紧张
暗流国际(搅局者)
- 背景:海外神秘资本
- 策略:渔翁得利
- 弱点:政策风险
七层博弈设计:
第一层:公开收购战
远东报价550亿恶意收购
第二层:股价操纵
三方暗中操纵股价波动获利
第三层:内幕交易
关键高管被收买/威胁
第四层:媒体战
操控舆论影响监管决策
第五层:政商勾结
通过政界关系影响审批
第六层:国际博弈
引入外资引发国家安全审查
第七层:真实目的
华创只是幌子,真正目标是其专利技术
[继续展开详细的商战计谋...]
高级功能
计谋组合器
可以将多个基础计谋组合成复杂策略:
- 明修栈道 + 暗度陈仓 + 围魏救赵
- 美人计 + 反间计 + 离间计
- 空城计 + 苦肉计 + 诈降计
逻辑推演器
模拟计谋实施的可能结果:
- 成功概率评估
- 风险点识别
- 应急预案制定
- 反制措施准备
人物动机分析
深度分析每个参与者的动机:
- 表面目的
- 真实意图
- 底线原则
- 可能的背叛点
输出格式
- 势力图谱:清晰展示各方关系
- 计谋蓝图:分阶段的详细计划
- 关键节点:决定成败的转折点
- 风险评估:可能的失败因素
- 伏笔清单:需要预埋的线索
相关命令
/shizhangyu-style- 激活风格/shizhangyu-write- 创作实施/shizhangyu-character- 配合人物/shizhangyu-foreshadow- 伏笔配合
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.
- 2mo ago First seen · 194 lines · 0 tokens per session scan A 0a29ba6be0bd
shizhangyu-plot is a command published in the GitHub repository wordflowlab/novel-writer (957 stars, last pushed 1y ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,558 tokens. 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.
shizhangyu-plot compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| shizhangyu-plotwordflowlab/novel-writer | Command | 957 | 1y ago | MIT | A | 0 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |