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 good-businessgit 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/good-business)<a href="https://agentmods.dev/skills/kangarooking/duan-yongping-skill/good-business"><img src="https://agentmods.dev/badge/skills/kangarooking/duan-yongping-skill/good-business/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/good-business"><img src="https://agentmods.dev/badge/skills/kangarooking/duan-yongping-skill/good-business.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 | $0.00153 | $0.03017 |
| Opus 5 | $0.00077 | $0.01509 |
| Sonnet 5 | $0.00031 | $0.00603 |
| Haiku 4.5 | $0.00015 | $0.00302 |
Grade A, and why
good-business 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.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
好生意识别法(商业模式护城河分析)
R — 原文 (Reading)
好的商业模式的很简单,就是利润和净现金流一直都是杠杠的,而且竞争对手哪怕很长的时间里也很难抢。商业模式经常要看的东西不外是护城河是否长期坚固(产品的差异化的持续性,包括企业文化),长期的毛利率是否合理(产品的可替代性),长期的净现金流(长期而言其实就是净利润)是否满意。投资最重要的还是要看生意模式。先看商业模式,除非你喜欢这家公司的商业模式,不然就不再往下看了。所谓未来现金流的定性分析比定量分析要重要的多,用公式的人往往会陷于细节而忽略整体。
— 段永平,第三章第2节"什么是看懂一个公司" / 第七章案例分析
I — 方法论骨架 (Interpretation)
- 好生意的本质:利润和净现金流长期强劲,竞争对手长时间内难以抢走——不是"现在赚钱",而是"持久地赚钱且别人抢不走"。
- 分析顺序严格固定:先看商业模式(企业怎么挣钱),再看企业文化,最后才看价格。商业模式不过关的公司直接排除,不再往下看——这是从巴菲特那里学到的最值钱的一课。
- 定性远比定量重要:护城河是否长期坚固、产品差异化是否持续、可替代性高低,这些定性判断优先于任何财务指标计算。用公式的人容易陷入细节而忽略整体。
- 检验标准:护城河持久性(产品差异化的持续性)+ 长期毛利率合理性(可替代性)+ 长期净现金流满意度。三项缺一不可。
- "懂"的验证:看懂一家公司的标志是——股价大跌时你想加仓而非恐慌卖出。如果还需要到处问"发生什么事了",说明没看懂。
- 排除法驱动:不喜欢的商业模式直接跳过,不纠结"能不能看懂"——没有兴趣的公司不需要懂。
A1 — 书中的应用 (Past Application)
案例 1: 贵州茅台
- 问题: 茅台是否具备好生意的特征?反腐冲击下能否持续?
- 方法论的使用: 用好生意框架逐项检验——利润和净现金流持续强劲(毛利率极高,预收款充足),库存越久越值钱("茅台的库存几乎就是个宝,消费电子的库存几乎就是垃圾"),定价权极强(喜欢喝茅台的人不会因涨价转喝五粮液),供不应求(市场占有率仅千分之二三),护城河由不可复制的地理环境和品牌文化构成。
- 结论: 茅台是好生意的典范——不怕库存、不需售后服务、产品差异化大、新品牌几乎无法进入。
- 结果: 反腐短期冲击销量,但茅台长期价值不变;段永平在塑化剂事件时自费送检,基于对生意的理解保持平常心,持续持有。
案例 2: 苹果
- 问题: 失去乔布斯的苹果还是好生意吗?
- 方法论的使用: 先看商业模式——苹果是"梦寐以求但难以达到的生意模式"。单品模式带来三重优势:①人力物力集中做精品(开发成本低但单品开发费最高);②规模效应极致化(材料成本低且质量好);③渠道成本极低。平台/生态护城河已形成(光软件年收入数十亿),用户锁定效应极强("还没见过用iphone的换到其他手机的")。企业文化以消费者为导向做到极致。
- 结论: 苹果最厉害的是平台和生意模式,不是某个天才个人。"苹果已经有了很好的生意模式"——定性结论先于任何PE计算。
- 结果: 2011年以约3000亿市值买入(扣现金后PE仅12-13倍),预测5年后利润达500亿(实际595亿),长期持有获得巨大回报。
案例 3: 创维(反面:非典型好生意但极低估值)
- 问题: 产品质量一般的创维值不值得投?
- 方法论的使用: 不是从"好生意"出发,而是从资产价值出发——市值仅十多亿港币,一栋大楼就接近那个价。作为电视机行业里"最健康的企业",如果它都活不下去,整个行业就不复存在了。
- 结论: 这是"资产折价"逻辑而非"好生意"逻辑的案例,但同样遵循"定性优先"原则——行业健康度判断优先于ROE等指标。
- 结果: 段永平坦言"没看过ROE",仅凭行业判断和资产安全边际买入。
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 用户正在研究某家公司,想判断这门生意是否"真的好"——比如拿到一只股票推荐,不确定它的商业模式是否具备持久竞争力
- 用户从PE、ROE等财务指标出发分析公司,发现数据好看但内心不踏实,需要回到商业本质来验证
- 用户持有的股票大跌,想判断是"市场错杀"还是"生意本身出了问题"——需要重新审视商业模式是否依然成立
语言信号 (用户的话里出现这些就应激活)
- "这个生意模式怎么样/这门生意好不好"
- "为什么这家公司能一直赚钱/护城河在哪"
- "竞争对手能不能抢走它的市场"
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.
- 12d ago First seen · 136 lines · 153 tokens per session scan A 82a29d3884d6
good-business is a skill published in the GitHub repository kangarooking/duan-yongping-skill (48 stars, last pushed 4mo ago), licensed MIT. It adds 153 tokens to every session and 3,017 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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