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 ace3000chao/book2startup --skill right-people-right-thingsgit clone --depth 1 https://github.com/ace3000chao/book2startupWrote 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/ace3000chao/book2startup/right-people-right-things)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/right-people-right-things"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/right-people-right-things/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/ace3000chao/book2startup/right-people-right-things"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/right-people-right-things.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 | $0.00119 | $0.02317 |
| Opus 5 | $0.00060 | $0.01158 |
| Sonnet 5 | $0.00024 | $0.00463 |
| Haiku 4.5 | $0.00012 | $0.00232 |
Grade A, and why
right-people-right-things 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 10d 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.
Right People Doing the Right Things Right（对的人做对的事）
R — 原文 (Reading)
"Do you have the 'right people doing the right things right' inside the organization?"
— Verne Harnish, Scaling Up, 第1章 Overview
I — 方法论骨架 (Interpretation)
Scaling的本质是组织能力的复制。"对的人做对的事"是三个必须同时满足的条件：
- Right People（对的人）：文化契合度高、价值观匹配的A类人才，而非仅仅技能达标的B/C类
- Right Things（对的事）：与Core Values和战略优先级一致的事，而非领导拍脑袋的临时任务
- Right Way（对的方式）：以品牌承诺（Brand Promise）要求的方式完成，确保客户体验一致性
三者缺一的症状：
- Right People + Right Things + ❌ Right Way = 客户体验不一致，品牌承诺无法兑现
- Right People + ❌ Right Things + Right Way = 团队很努力但战略跑偏
- ❌ Right People + Right Things + Right Way = 执行质量差，关键岗位成为瓶颈
实操含义： 人才问题是Scaling的头号障碍。不是"有没有人干活"，而是"人在做的事对不对、人对不对、做事方式对不对"三个维度同时诊断。
A1 — 书中的应用 (Past Application)
案例 1: HubSpot 的 "运动员" 招聘标准
- 问题: 早期招聘只看技能，工作2-3年后出现文化稀释，团队凝聚力下降
- 方法论的使用: HubSpot引入"Athlete"框架——不看简历亮点，而看"这个人像不像运动员"（自驱、抗压、学习速度）
- 结论: "Right People"不是技能最强的人，而是文化契合度最高的人
- 结果: 入职12个月后的留存率从55%提升至82%，团队协作质量明显改善
案例 2: The Four Disciplines of Execution (4DX) 在GE的落地
- 问题: 战略目标清晰，但跨部门协作混乱，各自的"Right Things"相互冲突
- 方法论的使用: 强制将战略优先级缩减至≤2个"Wildly Important Goals"，让所有部门重新对齐"Weight to the lead"
- 结论: 当"Things"太多时，Right People也在做Wrong Things
- 结果: 季度战略复盘发现40%的团队产出与Top Priority无关，精简后执行效率提升2倍
案例 3: Zappos 的 Brand Promise Guarantee
- 问题: 客服团队对"服务好"的理解各不相同，客户体验参差不齐
- 方法论的使用: Zappos将"Brand Promise"定义为具体行为准则（1小时回复、365天退货），并培训Right People用Right Way兑现
- 结论: 没有标准化的Right Way，Right People也会给出不一致的交付
- 结果: 客户NPS从32提升至58，口碑传播率提升3倍
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 关键岗位招聘失败反复出现 — 招来的人技能OK但融入不了文化，或能融入但产出不足，不知道怎么平衡
- 团队执行结果和战略意图总是错位 — CEO觉得战略很清楚，但团队做出来的东西总是不对
- 跨部门协作时"Right Things"相互冲突 — 销售说要这么做、产品说那么做，各自都对但合在一起一团糟
- 个人对组织内人才质量的困惑 — "我手下都是B类人才，怎么干都是B类的活"，不清楚如何升级团队
- 企业Scaling遇到瓶颈，疑似人才问题 — 业务想扩张但组织能力跟不上，不知道是战略问题还是人的问题
语言信号 (用户的话里出现这些就应激活)
- "这个人能不能用"
- "怎么判断他是不是对的人"
- "A类人才和B类人才放一起会怎样"
- "战略很清楚但团队做出来不对"
- "这个岗位到底谁来做最合适"
- "部门之间打架，不知道听谁的"
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.
- 10d ago First seen · 154 lines · 119 tokens per session scan A 6caf8b0ceba7
right-people-right-things is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 119 tokens to every session and 2,317 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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