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 agentmods add skills/ace3000chao/book2startup/swt-analysisnpx skills add ace3000chao/book2startup --skill swt-analysisgit 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/swt-analysis)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/swt-analysis"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/swt-analysis.svg" alt="Measured on agentmods" 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 | $0.00108 | $0.02127 |
| Opus 5 | $0.00054 | $0.01064 |
| Sonnet 5 | $0.00022 | $0.00425 |
| Haiku 4.5 | $0.00011 | $0.00213 |
Grade A, and why
swt-analysis 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 4d 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 — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SWT分析（Strengths, Weaknesses, Trends）
R — 原文 (Reading)
"We've augmented SWOT with a tool called SWT — focusing on exploring broader external trends beyond their own industry or geography. It's a powerful tool to spot opportunities before the competition."
— Verne Harnish, 第8章 OPSP
中文翻译： 我们用名为SWT的工具对SWOT进行了增强——专注于探索 更广泛的外部趋势，超越自身行业或地理边界。这是一个强大的工具， 可以在竞争对手之前发现机会。
I — 方法论骨架 (Interpretation)
SWT分析是对传统SWOT的升级，用"趋势（Trends）"替代"机会"与"威胁"两列， 强迫领导者将视线从内部转向外部。
核心逻辑：
- 传统SWOT容易陷入"内部思维"——优势/劣势都是内部视角， 机会/威胁虽然外部，但用户倾向于用内部成功经验推断外部。
- SWT直接删除"机会"列——趋势是客观的，机会是从趋势中提炼的。 这一步强制用户先看外部，再做判断。
- "趋势"涵盖：行业技术演进、政策法规变化、消费者行为迁移、 地理市场扩张、供应链重构、竞争对手布局等。
- 趋势分析要求"跨界对标"——看其他行业、其他地区正在发生什么， 再映射回自身。
- 最终输出：一组可行动的外部趋势，每条趋势对应"谁将被改变"、 "谁将受益"、"我如何借势"。
A1 — 书中的应用 (Past Application)
案例1: 某制造企业的跨行业趋势扫描
- 问题: 企业高管团队在年度战略会上用传统SWOT分析， 所有人聚焦内部运营数据，对外部变化反应迟钝。
- 方法论的使用: 教练引导团队跳出行业边界， 扫描相邻行业（零售、科技、金融）的趋势信号， 发现"订阅经济"模式正在B2B领域渗透。
- 结论: 将产品从"一次性销售"重构为"年度服务合同"， 创造75%的客户留存率提升。
- 结果: 收入可预测性大幅增强，为后续融资奠定基础。
案例2: 地区餐饮连锁的趋势预判
- 问题: 本地市场份额已触天花板，扩张方向不明。
- 方法论的使用: 用SWT分析一线城市生活方式趋势 （健康轻食、即时配送），向三四线城市迁移的时滞。
- 结论: 比竞争对手提前18个月布局"健康快餐"品类。
- 结果: 在竞争尚未饱和的窗口期成为区域品类第一。
案例3: 科技创业公司的技术摩尔陷阱
- 问题: 团队认为自身技术优势是核心竞争力。
- 方法论的使用: SWT分析发现头部云厂商正在以 "基础设施免费化"策略向下吞噬市场，技术壁垒窗口期不超过2年。
- 结论: 放弃纯技术路线，转向"行业Know-how + AI"的应用层壁垒。
- 结果: 避免了技术护城河被快速填平的风险。
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 年度战略规划季：团队开始制定下一年战略，需要系统扫描外部环境。
- 业务增长停滞：现有策略效果减弱，需要新的增长视角。
- 进入新市场/新产品：需要评估外部条件是否成熟。
- 竞争对手突然变化：行业出现新玩家或颠覆性动作。
- 被VC/董事会追问战略：需要展示对外部趋势的理解。
语言信号 (用户的话里出现这些就应激活)
- "我们行业的机会在哪里？"
- "怎么才能比竞争对手先看到趋势？"
- "要不要进入X市场，现在是好时机吗？"
- "这个决策要不要考虑外部因素？"
- "我们的SWOT分析好像不太对……"
与相邻 skill 的区分
- 与
f05-seven-strata的区别: 7 Strata是从内部构建战略壁垒；SWT是外部扫描发现机会入口。 SW是战略构建的前置动作。 - 与
f07-opsp的区别: OPSP是战略的执行落地工具；SWT是OPSP中最左侧"外部趋势"列的 专项工具，为OPSP提供输入。 - 与
f17-x-factor的区别: X-Factor是找10-100倍优势；SWT是找到值得建立X-Factor的外部领域。
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.
- 4d ago First seen · 177 lines · 108 tokens per session scan A 54830de1d909
swt-analysis is a skill published in the GitHub repository ace3000chao/book2startup (75 stars, last pushed 4mo ago), licensed MIT. It adds 108 tokens to every session and 2,127 once invoked, about $0.0005 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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