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 kangarooking/duan-yongping-skill --skill culture-judgergit clone --depth 1 https://github.com/kangarooking/duan-yongping-skillWrote 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/kangarooking/duan-yongping-skill/culture-judger)<a href="https://agentmods.dev/skills/kangarooking/duan-yongping-skill/culture-judger"><img src="https://agentmods.dev/badge/skills/kangarooking/duan-yongping-skill/culture-judger/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/kangarooking/duan-yongping-skill/culture-judger"><img src="https://agentmods.dev/badge/skills/kangarooking/duan-yongping-skill/culture-judger.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 | $0.00152 | $0.02219 |
| Opus 5 | $0.00076 | $0.01110 |
| Sonnet 5 | $0.00030 | $0.00444 |
| Haiku 4.5 | $0.00015 | $0.00222 |
Grade A, and why
culture-judger 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 13d 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.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
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.
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.
- 13d ago First seen · 154 lines · 152 tokens per session scan A 1ac6856fa88c
culture-judger is a skill published in the GitHub repository kangarooking/duan-yongping-skill (48 stars, last pushed 4mo ago), licensed MIT. It adds 152 tokens to every session and 2,219 once invoked, about $0.0008 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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