yong-jiu-qun-long

yong-jiu-qun-long is a skill for Claude Code, Codex from ace3000chao/book2startup. It costs 180 tokens per session (1,901 once invoked), scanned A, original, MIT.

A group decision-making method inspired by the Chinese classic I Ching. It replaces one person's unchecked authority with a process where several leaders contribute their judgment before an important decision is made.

In plain words
What is it for?
Use it for high-risk choices such as fundraising, strategic changes, or team integration when a group can contribute meaningfully. It is not intended for emergencies or teams too small to provide diverse input.
Why use it?
It helps reduce blind spots and false agreement when a founder or manager is ready to decide alone. The goal is shared responsibility and better use of the team's knowledge.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for high-risk choices such as fundraising, strategic changes, or team integration when a group can contribute meaningfully. It is not intended for emergencies or teams too small to provide diverse input.

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Install with agentmods
npx agentmods add skills/ace3000chao/book2startup/yong-jiu-qun-long
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 ace3000chao/book2startup --skill yong-jiu-qun-long
Clone the repo
git clone --depth 1 https://github.com/ace3000chao/book2startup

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 yong-jiu-qun-long

README.md
[![agentmods](https://agentmods.dev/badge/skills/ace3000chao/book2startup/yong-jiu-qun-long/github.svg)](https://agentmods.dev/skills/ace3000chao/book2startup/yong-jiu-qun-long)
Your own site
<a href="https://agentmods.dev/skills/ace3000chao/book2startup/yong-jiu-qun-long"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/yong-jiu-qun-long/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 yong-jiu-qun-long

Your own site · 80×15
<a href="https://agentmods.dev/skills/ace3000chao/book2startup/yong-jiu-qun-long"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/yong-jiu-qun-long.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,901 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.
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 $0.00180 $0.01901
Opus 5 $0.00090 $0.00950
Sonnet 5 $0.00036 $0.00380
Haiku 4.5 $0.00018 $0.00190

Measured 12d ago against content hash 4b436955d9c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

yong-jiu-qun-long 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.

易经skills/yong-jiu-qun-long/SKILL.md · 129 lines

How it starts

The opening of the file, as written. The whole thing — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.

用九,见群龙无首,吉

R — 原文 (Reading)

"用九,见群龙无首,吉。" "乾元用九,天下治也。" — 《易经》乾卦·用九


I — 方法论骨架 (Interpretation)

"群龙无首"不是没有领袖,而是让多条龙各展所长,没有哪条龙处于绝对控制地位。这是最理想的组织状态——每个人都是龙,都有决策权,整体却和谐有序。

乾元用九,天下治:天的元气发挥到极致(用九),天下才能大治。应用到创业决策中:

  • 警惕"首"的诱惑:创业者天然倾向"我来决定",但越重要的决策越需要集体智慧
  • 群龙并起:让核心团队成员各自表达见解,形成真正的讨论而非走过场
  • 无首的机制:建立让所有人都能发言、最终决策基于共识而非权威的决策流程
  • 吉的来源:这种集体决策之所以"吉",是因为它调动了组织整体智慧,降低了个人盲点带来的风险

本质是用"机制"替代"意志",让决策质量超越个人能力边界。


A1 — 书中的应用 (Past Application)

案例1: 周公还政成王

  • 问题: 周武王去世后,年幼的成王继位,周公旦作为摄政王实际掌控朝政七年,权力达到顶峰
  • 方法论的使用: 周公没有选择"首"的路线,而是在成王成年后还政于王,让周朝回到群龙并立的格局,而非一人独大
  • 结论: 周公以"无首"为法,还政成王,建立起真正的集体传承机制
  • 结果: 周朝政治稳定,为八百年基业奠定制度基础;周公因此被尊为"元圣"

案例2: 华为轮值CEO制度

  • 问题: 任正非作为华为创始人,如何避免个人决策局限性影响企业长期发展
  • 方法论的使用: 华为建立轮值CEO制度,让不同领导者轮番主持决策,打破"一龙首"模式
  • 结论: 用机制替代个人权威,组织智慧超越个体
  • 结果: 华为在多次重大决策中避免了个人判断失误,成为全球科技领导者

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 创业者独自面对重大决策,有强烈的个人倾向,并准备直接拍板("我想这么做")
  2. 团队讨论变成一言堂,其他成员附和创业者意见,缺乏真正的异议
  3. 创业项目进入关键转折期(融资、战略调整、核心人员整合),决策风险极高

语言信号

  • "这事我说了算"
  • "按我说的办就行了"
  • "你们有什么意见吗?"(其实内心已有定论)
  • "我觉得这个方向是对的,不需要再讨论了"
  • "我是创始人,失败了也是我负责"

与相邻 skill 的区分

  • 与 ce01(亢龙有悔)的区别: ce01强调"过度亢进必有悔",本skill强调"独断决策的系统性风险";本skill更侧重决策机制层面
  • 与 f19(盈亏警示法)的区别: f19是风险预警,本skill是决策方式;两者可配合使用

E — 可执行步骤 (Execution)

  1. 暂停独断,引入异见

    • 完成标准: 在做出最终决定前,专门安排一次"反对意见征集",明确询问"谁反对?为什么?"
    • 判停条件: 若团队≤3人,跳到步骤3
  2. 建立集体决策机制

    • 完成标准: 将原决策问题拆解为3个以上子问题,让不同成员分别负责研究和提出方案,最终合并
    • 判停条件: 若成员拒绝参与讨论,记录原因后跳到步骤4
  3. 设置决策缓冲期

    • 完成标准: 对重大决策设立"24-72小时冷静期",期间不正式宣布结论,允许任何人提出新信息
    • 判停条件: 若情况紧急(≤24小时需决策),记录风险后记录放弃本skill的原因
  4. 记录分歧,达成共识

    • 完成标准: 最终决策形成文字,说明"一致同意"还是"多数同意但存在以下分歧",分歧内容一并记录
    • 判停条件: 若最终仍是"创始人独断",则在记录中标注"本决策未使用集体决策机制,风险自担"

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 紧急危机情境(公司面临生死存亡的即时威胁,≥24小时必须决断),此时需要快速决策而非民主讨论
  • 团队规模极小(≤3人),缺乏集体决策的基础,另类讨论反而制造尴尬
  • 所涉决策属于创始人个人专业领域且团队完全缺乏相关经验——此时创始人的判断力确实是团队最优资产

作者在书中警告的失败模式

  • "用九"的反面是"只用一",即完全依赖单一决策者;历史上无数王朝和企业的覆灭都源于此
  • 群龙无首之所以吉,是因为它调动了所有人的智慧;假装民主实际独断,比直接独断更危险

Read the full file on GitHub · 129 lines

Files

What ships with it

1 file 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. 12d ago First seen · 129 lines · 180 tokens per session scan A 4b436955d9c4

Subscribe to this mod's changes

yong-jiu-qun-long is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 180 tokens to every session and 1,901 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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