Culture Judger

Community

kangarooking

culture-judger

当用户需要判断一家企业的企业文化好坏时使用——无论目的是投资决策、求职选择还是合作评估。典型触发：用户说"这家公司文化怎么样""怎么判断一家公司靠不靠谱""值不值得加入/投资这家公司""创始人/CEO怎么样"。核心框架：本分（做对的事情+发现错了立刻停）+ 平常心（排除干扰回归本质）+ 诚信（integrity为零容忍底线）+ 消费者导向（最终用户优先）。不适用于：纯财务分析、短期投机决策、纯技术评估。

Overview

Publisher	kangarooking
Repository	`duan-yongping-skill`
Skill name	`culture-judger`
Stars	57
Forks	13
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by kangarooking on GitHub. Read the source before you install it.

Installation

Install the Culture Judger AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/kangarooking/duan-yongping-skill/tree/main/business-logic/culture-judger
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/kangarooking/duan-yongping-skill/tree/main/business-logic/culture-judger

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/kangarooking/duan-yongping-skill.git /tmp/duan-yongping-skill
mkdir -p .claude/skills
cp -r /tmp/duan-yongping-skill/business-logic/culture-judger .claude/skills/culture-judger

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Culture Judger in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Culture Judger on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Culture Judger is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

企业文化判断框架

R — 原文 (Reading)

"没有强大的文化，就不会有伟大的公司。乔布斯就是想建立强大的企业文化并且确实做到了！只有强大的企业文化才能不断吸引到好的人才并留住他们。"

— 段永平, 第1节

"本分就是要做对的事情和要把事情做对。平常心就是回到事物本源的心态，也就是要努力认清什么是对的事情，认清事物的本质。"

— 段永平, 第3节

I — 方法论骨架 (Interpretation)

企业文化判断是一个由外到内的四层诊断框架：

时间层次（不同时间尺度看什么）：

5-10年: 看CEO
10-50年: 看董事会（能否选出好CEO）
50年以上: 看企业文化（能否维持好董事会）

四个诊断维度：

本分: 做对的事情+发现错了立刻停。不是安分守己，而是主动的道德判断和即时纠错。赚了不该赚的钱就是不本分。
平常心: 排除干扰回归本质的理性思考习惯。不是消极，而是在诱惑和恐惧面前保持理性。愤怒时不做决定。
诚信(integrity): 零容忍底线。诚信只有在需要付出代价时才能验证。合作伙伴言而无信→合作不会有好结果。
消费者导向: 关注最终用户体验而非短期销量。区分客户（付钱的）和用户（使用的），以用户为准。

从外部判断的方法：

看创始人/最高领导是否真信自己的价值观（看历史、说的和做的）
看做了什么"不对"的事（比看做了什么"对"的事更容易判断）
看高管是内部提拔还是空降（合适性>合格性）
看细节：离职员工年终奖是否照发、供应商货款是否按时付

A1 — 书中的应用 (Past Application)

案例 1: 松下——文化衰退的诊断

问题: 段永平曾参观松下，发现文化出了问题
方法论的使用: 社长说"我总在想如果松下老人站在我背后，他会怎么想"——这说明文化依赖于已故创始人而非内在价值观
结论: 文化没有内化，依赖于个人崇拜
结果: 段永平卖掉松下股票

案例 2: 阿里巴巴——文化好的信号

问题: 为什么段永平最佩服马云？
方法论的使用: 马云对企业文化的理解与段永平高度一致："客户第一、员工第二、股东第三"正是利润之上追求的体现
结论: 阿里有深厚的企业文化基础
结果: 段永平说"马云是我最佩服的，不是之一"

案例 3: 段永平的CEO给供应商手机号

问题: 如何确保供应链诚信？
方法论的使用: 段永平当CEO时向所有供应商提供自己的手机号，承诺任何拖欠款项可以直接投诉
结论: 诚信需要具体机制保障，不能只靠口号
结果: 供应商关系极好，供应链稳定

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

用户在评估一家公司是否值得投资（判断right people）
用户在考虑是否加入一家公司（判断文化是否匹配）
用户在考虑与某公司合作（判断对方是否靠谱）
用户在诊断自己公司的文化问题
用户在讨论"为什么有些公司能基业长青"

语言信号 (用户的话里出现这些就应激活)

"这家公司靠谱吗"
"企业文化好不好怎么判断"
"创始人/CEO怎么样"
"值不值得加入/投资这家公司"
"为什么好的公司能长期保持"
"怎么判断一家公司的价值观是不是真的"

与相邻 skill 的区分

与 right-business-people-price 的区别: right-business-people-price 是投资三要素的总纲，本 skill 是 Right People 维度的深入展开
与 profit-above-pursuit 的区别: profit-above-pursuit 聚焦一个具体的诊断信号（先问对不对还是先问赚不赚），本 skill 是全面的文化诊断

E — 可执行步骤 (Execution)

收集信号（从外部可观察的信息）
- 完成标准: 收集以下信息：创始人/CEO公开言论与实际行动是否一致、高管来源（内部vs空降）、员工评价、供应商/客户口碑
- 判停条件: 如果发现明确的"不对"信号（如不诚信记录、言而不行），可以直接判定——不需要继续
四个维度诊断
- 完成标准: 对本分/平常心/诚信/消费者导向四个维度分别打信号灯（绿/黄/红）
- 任何维度红灯 = 需要高度警惕
时间尺度校准
- 完成标准: 根据你的时间尺度（短期投资 vs 长期持有 vs 求职），决定重点看哪个层次（CEO/董事会/文化）
- 长期视角必须以文化为最终判据

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

短期投机（不需要看文化，只看价格和催化剂）
B2B大宗交易（企业文化对短期商业合作影响不大）
文化被过度包装的公司（外部信号可能失真）

作者在书中警告的失败模式

把文化当口号: "光写在纸上是没用的，领导们是否真的信才是关键"
文化依赖创始人个人: 松下案例——社长还在想"松下老人会怎么看"，说明文化没有内化
合适性忽视: "给公司制造麻烦的往往是合格但不合适的人"

作者的盲点 / 时代局限

段永平的"合适性>合格性"原则在快速变化的行业可能需要平衡——有时需要引进外部人才带来新视角
"不鼓励996"的文化在中国互联网行业的竞争中可能面临挑战
从外部判断企业文化本身就很困难——段永平自己也承认"很难判断"

容易混淆的邻近方法论

尽职调查(Due Diligence): DD偏财务和法律，文化判断偏软性信号——二者互补
雇主品牌评估: 雇主品牌是外部呈现，文化判断要看真实行为——不能只看宣传

审计信息

验证通过: V1 ✓ / V2 ✓ / V3 ✓
测试通过率: {{%}} (详见 test-prompts.json)
蒸馏时间: 2026-04-16

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

test-prompts.json8 KB

Frequently asked questions

What does the Culture Judger AI skill do?

Why use Culture Judger on TypingMind?

Because you install it once and use it with any model. Culture Judger is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Culture Judger in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/duan-yongping-skill/tree/main/business-logic/culture-judger. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Culture Judger?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Culture Judger?

As many as you like. As long as a model supports skills, you can use Culture Judger with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Culture Judger AI skill free?

Yes. It is published on GitHub by kangarooking under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Culture Judger

Overview