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 bhag-25yeargit 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/bhag-25year)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/bhag-25year"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/bhag-25year/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/bhag-25year"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/bhag-25year.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 | $0.00000 | $0.02833 |
| Opus 5 | $0.00000 | $0.01417 |
| Sonnet 5 | $0.00000 | $0.00567 |
| Haiku 4.5 | $0.00000 | $0.00283 |
Grade A, and why
bhag-25year 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 — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BHAG 25 Year（BHAG必须是25年不移的地标）
R — 原文 (Reading)
"Everything in between this quarter and the next 10 to 25 years is a WAG: a wild-ankle guess! There are no straight lines in nature or business."
— Verne Harnish, Scaling Up, 第1章 Overview
I — 方法论骨架 (Interpretation)
BHAG（Big Hairy Audacious Goal）是James Collins在《Built to Last》中提出的概念，Harnish在Scaling Up中进一步强调其在Scaling中的核心地位。
什么是BHAG？ BHAG是一个10-25年的方向性地标，而非1-3年的具体目标。它回答的是"我们要成为什么样的公司"，而非"我们要完成什么任务"。
BHAG的本质特征：
- 时间跨度：10-25年 — 足够长以至于没人能精确规划路径，因此中间所有计划都是"WAG"（Wild Ass Guess，野生猜测）
- 方向性而非数字性 — BHAG不是"营收100亿"而是"让每个中国家庭享受智能生活"
- 激励性而非考核性 — BHAG是用来激发热情的，不是用来扣奖金的
BHAG与OKR的区别：
| 维度 | BHAG | OKR |
|---|---|---|
| 时间跨度 | 10-25年 | 季度/年 |
| 精确度 | 定性方向 | 定量目标 |
| 功能 | 激励/对齐 | 执行/追踪 |
| 失败后果 | 不考核 | 关联绩效 |
核心洞察： Harnish说"中间的一切都是WAG"——这不是悲观，而是承认不确定性。BHAG的价值不在于"能否实现"，而在于"能否持续指明方向"。就像地平线上的北极星：你永远走不到，但它让你不迷路。
长期愿景与短期执行的桥梁： BHAG → 10年WAG → 5年WAG → 3年BHAG校准 → 年度OKR → 季度Priority
A1 — 书中的应用 (Past Application)
案例 1: Microsoft 的 "A PC on every desk" BHAG
- 问题: 1980年代微软需要一个足够激动人心的长期方向
- 方法论的使用: Bill Gates设定BHAG："A computer on every desk, in every home"（每张桌子上、每个家庭中都有一台电脑）
- 当时电脑是大型机时代的稀有物，这个目标被嘲笑为妄想
- 但BHAG本身不需要被所有人相信——它只需要核心团队认同
- 结论: BHAG的"妄想性"是其价值的证明——如果所有人都觉得合理，它可能不够激励人心
- 结果: 1999年基本实现，BHAG驱动了微软20年的高速增长
案例 2: 某新能源企业的BHAG校准
- 问题: 公司制定了"2030年营收1000亿"的量化BHAG，但团队普遍认为是"老板的数字"，缺乏共鸣
- 方法论的使用: 将量化BHAG转化为定性BHAG："让人人都用得起清洁能源"
- 量化指标（1000亿）降格为战略KPIs而非BHAG本身
- 重新设计了从BHAG到年度OKR的传导路径
- 结论: BHAG必须是方向性的，量化目标会破坏BHAG的激励功能
- 结果: 员工调研中"对公司的长期方向感到兴奋"的比例从23%提升至61%
案例 3: 某消费品牌的"25年地标"案例
- 问题: 每年定目标时团队质疑"为什么要这么做"，年度目标变成讨价还价的博弈
- 方法论的使用: 设计三层目标体系：
- BHAG（2025-2050）："成为全球最具影响力的东方美学品牌"
- 5年路径（2025-2030）："从区域品牌到全国领先品牌"
- 年度OKR：由BHAG和5年路径导出，而非独立生成
- 结论: BHAG是"为什么"的答案，解决了年度目标缺乏意义的根本问题
- 结果: 团队在年度OKR讨论时开始引用BHAG作为论据，自我驱动力显著增强
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 企业缺乏真正的BHAG或BHAG太空洞 — "成为中国领先的XX公司"这类BHAG无法激励团队，需要区分愿景陈述和真正的BHAG
- BHAG和OKR混为一谈 — 把BHAG写成"三年内营收X亿"（实际应该是OKR），或把年度目标当BHAG
- 团队对年度目标缺乏方向感 — OKR完成了但不知道对BHAG有什么贡献，战略执行变成数字游戏
- BHAG制定了但中途动摇 — 遇到市场变化或困难时开始怀疑BHAG，需要重新理解BHAG作为"方向"而非"承诺"的意义
- 从创始人个人愿景向组织愿景过渡 — 创业初期是"老板的愿景"，需要转化为组织共享的BHAG
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 · 174 lines · 0 tokens per session scan A 13bc0b01f6a7
bhag-25year is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,833 tokens. 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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