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 right-things-firstgit 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/right-things-first)<a href="https://agentmods.dev/skills/kangarooking/duan-yongping-skill/right-things-first"><img src="https://agentmods.dev/badge/skills/kangarooking/duan-yongping-skill/right-things-first/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/right-things-first"><img src="https://agentmods.dev/badge/skills/kangarooking/duan-yongping-skill/right-things-first.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 | $0.00130 | $0.02001 |
| Opus 5 | $0.00065 | $0.01001 |
| Sonnet 5 | $0.00026 | $0.00400 |
| Haiku 4.5 | $0.00013 | $0.00200 |
Grade A, and why
right-things-first 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 9d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
"做对的事情"二元决策框架
R — 原文 (Reading)
"做对的事情，把事情做对。知道要做对的事情（或者说，知道什么样的事情不该做），然后去追求高效率把事情做对的公司。"
— 段永平, 第1节
"做对的事情就是发现是错的事情时要马上停止，不管多大的代价都是最小的代价。"
— 段永平, 第3节
I — 方法论骨架 (Interpretation)
这是一个将决策分为两个维度的框架：
维度一："做对的事情"（道/方向）
- 只有对错，没有程度——要么方向对，要么方向错
- 判断方法：用排除法——知道什么"不对"比知道什么"对"更容易
- 发现错了立刻停，此刻的代价永远是最小的
维度二："把事情做对"（术/执行）
- 有高低之分，是学习过程——可以越做越好
- 需要时间、经验和迭代
核心原则：顺序不可颠倒
- 方向错了，执行越好结果越差（在错误的道路上跑得越快离目标越远）
- "坚持到底"指的是坚持做对的事情，不是坚持做错的事情
- 难点不在知道什么是对的——人们往往知道什么不对，但短期诱惑让人明知故犯
配套思维工具：
- 从否定面判断法：判断"对"很难，判断"不对"相对容易
- "不本分"反推法：不确定是否本分时，先看是否不本分
A1 — 书中的应用 (Past Application)
案例 1: 步步高退出VCD做手机
- 问题: VCD业务在衰退，要不要继续？
- 方法论的使用: 先问方向——VCD是夕阳行业，继续投入是"把错的事情做对"。手机是新的长坡，方向对了
- 结论: 停止VCD，全力做手机
- 结果: OPPO/vivo成为全球前五手机品牌
案例 2: 投资GE vs 苹果
- 问题: 段永平投资了GE后反思
- 方法论的使用: 买了GE后发现自己"理解并不是很透"——这本身就是方向性怀疑。而苹果是他"能真的理解的公司"——方向确认
- 结论: 如果重来，不会买GE而是买苹果
- 结果: 苹果投资成为段永平最成功的投资之一
案例 3: 判断管理层——从否定面入手
- 问题: 如何判断一个领导层是否"对"？
- 方法论的使用: "很难判断是否'对'，但相对容易判断是否'不对'"
- 结论: 不对的就不碰，错误的概率大幅度降低
- 结果: 段永平用此法避开了大量问题公司
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 用户在纠结一个重大决策，列了很多理由但心里没底
- 用户在一个方向上投入了很多但效果不好，不确定该坚持还是转向
- 用户面临诱惑——一个方向"不对"但短期回报很高
- 用户在问"我该不该做XX"——在做方向性判断
- 用户在分析失败原因，区分"方向错误"和"执行不足"
语言信号 (用户的话里出现这些就应激活)
- "我该不该做XX" / "要不要XX"
- "方向对不对"
- "值不值得坚持"
- "我已经投入了这么多，放弃是不是浪费"
- "是方向问题还是执行问题"
- "怎么做才能成功"（隐含方向判断未完成）
与相邻 skill 的区分
- 与
stop-doing-list的区别: 本 skill 是底层哲学（"为什么要先判断方向"），stop-doing-list 是操作工具（"具体不做什么"） - 与
profit-above-pursuit的区别: 本 skill 是通用的方向判断框架，profit-above-pursuit 是"做对的事情"在企业价值观层面的具体诊断
E — 可执行步骤 (Execution)
-
先判断方向——这是"做对的事情"吗？
- 完成标准: 用排除法回答"这有什么是不对的？"如果发现不对的地方，立刻标记
- 判停条件: 如果方向明确不对 → 停止，不管已投入多少。不要进入步骤2
-
如果是方向对的，评估执行——怎么"把事情做对"？
- 完成标准: 列出3-5个关键执行要素，标出当前做得好和做得不好的
- 注意: 这一步只在方向确认后才做
-
设置方向纠错检查点
- 完成标准: 明确"什么信号出现时说明方向可能错了"，以及对应的叫停机制
- 关键原则: 发现错了的瞬间，代价最小
B — 边界 (Boundary) ★
不要在以下情况使用此 skill
- 纯执行层面的问题（方向已定，只需要方法）
- 日常小事（不需要做方向性判断）
- 信息不充分的决策（需要先收集信息再判断方向）
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.
- 9d ago First seen · 155 lines · 130 tokens per session scan A 5f6d74cc2a95
right-things-first is a skill published in the GitHub repository kangarooking/duan-yongping-skill (48 stars, last pushed 4mo ago), licensed MIT. It adds 130 tokens to every session and 2,001 once invoked, about $0.0006 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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