mvp-building

mvp-building is a skill for Claude Code, Codex from ace3000chao/book2startup. It costs 52 tokens per session (1,165 once invoked), scanned A, original, MIT.

A minimum viable product, or MVP, is the simplest version of a product that can test its most important business assumption. It is used to learn from real customer behavior before building the complete product.

In plain words
What is it for?
Use it to identify the riskiest assumption, design a small experiment, release it quickly, and collect evidence about customer demand.
Why use it?
It reduces the risk of spending substantial time and money on an idea customers may not need or pay for.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to identify the riskiest assumption, design a small experiment, release it quickly, and collect evidence about customer demand.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ace3000chao/book2startup/001-mvp
Install

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.

Any agent
npx skills add ace3000chao/book2startup --skill 001-mvp
Clone the repo
git clone --depth 1 https://github.com/ace3000chao/book2startup

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for mvp-building

README.md
[![agentmods](https://agentmods.dev/badge/skills/ace3000chao/book2startup/001-mvp.svg)](https://agentmods.dev/skills/ace3000chao/book2startup/001-mvp)
Your own site
<a href="https://agentmods.dev/skills/ace3000chao/book2startup/001-mvp"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/001-mvp.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,165 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.01165
Opus 5 $0.00026 $0.00583
Sonnet 5 $0.00010 $0.00233
Haiku 4.5 $0.00005 $0.00117

Measured 8d ago against content hash 4346af8d88c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

mvp-building 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 8d 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.

精益创业skills/skills/001-mvp构建法/SKILL.md · 81 lines

What it actually says

Skill: MVP构建法

Metadata

  • ID: leanstartup-001
  • 类型: framework
  • 来源: 《精益创业》第五章
  • 验证状态: ✅ 三重验证通过(V1: 5+章节佐证, V2: 实战高频, V3: 非常识)

R — Reading(原文引用)

"最小化可行产品是满足早期用户核心需求的最简单产品形态,用于启动学习反馈循环。"

"如果在没有真实数据证实顾客会改变行为之前就开发新产品,就像是在黑暗中去射击。"

I — Interpretation(方法论骨架)

MVP的核心逻辑是**"最快速最便宜地验证最危险的假设"**:

  • 不是"做一个功能不全的产品凑合",而是"为验证假设而精确设计"
  • MVP的目的是学习,不是"发布产品"
  • 判断标准不是"功能多少",而是"能否在最短时间内、用最低成本获得关于核心假设的真实反馈"

A1 — Past Application(书中案例)

IMVU的第一个产品:作者团队花了6个月开发了一个"糟糕透顶"的产品,发布后几乎没人用。但通过快速迭代,最终获得6000万用户和5000万美元年收入。如果当初花2年做"完美产品"再发布,可能早就倒闭了。

Facebook的起步:第一个版本只有一个功能——投票选头像好不好看。根据用户反馈才逐步添加功能。

A2 — Future Trigger(何时调用)

当你听到以下问题时,就应该调用这个Skill:

  • "我有一个产品想法,怎么验证它有没有市场需求?"
  • "我要做一个App/平台/服务,应该从哪里开始?"
  • "团队总说资源不够开发所有功能,先做什么?"
  • "投资人要我做出完整产品才能给钱,但我只有有限的时间和预算"
  • "我在犹豫要不要把所有功能都做完再发布"

E — Execution(可执行步骤)

步骤1:识别最危险的假设

列出你的商业计划中最可能在市场上站不住脚的假设:

  • 顾客真的有这样的问题/需求吗?
  • 顾客愿意为此付费吗?
  • 你的解决方案是顾客会接受的吗?

原则:挑那个"如果错了整个业务就垮了"的假设优先验证。

步骤2:设计最小化实验

针对这个假设,设计一个能获得真实反馈的最简单产品:

  • 能否做一个一页纸的展示页面,看顾客会不会点击"注册"?
  • 能否做一个手动流程代替自动系统,先看顾客是否真的需要这个服务?
  • 能否做一个视频/模型给目标顾客看,收集真实反应?

判断标准:这个MVP能否在2周内、用最小资源完成,且能回答"顾客是否真的需要这个?"

步骤3:发布并收集真实行为数据

  • 关键是观察顾客的行为,而非问他们"你想要什么"
  • 顾客说的可能是错的,但顾客的基本是真的
  • 如果顾客只是"感兴趣"但没有实际行动,说明假设未验证

步骤4:根据数据决定下一步

  • 数据支持假设 → 继续投入,开发更完整的产品
  • 数据不支持假设 → 立即调整/转型,不要把资源浪费在错误方向
  • 数据不明确 → 设计新的实验继续验证

B — Boundary(何时不适用)

不适用场景 原因
硬件/制造业产品开发 物理产品无法像软件一样快速迭代,MVP成本太高
需要大量初始资本的餐饮/零售店 实体店开业前无法做真正的MVP测试
高度监管行业(医疗/金融) 合规要求限制MVP的边界
已经是成熟市场的复制型业务 这种情况下"验证"的意义不同,更多是执行问题

作者盲点提醒:MVP方法最适合软件/SaaS/互联网产品。对于需要实体生产的产品,MVP的成本和周期都不可控,需要调整策略。

关联Skills

  • Build-Measure-Learn循环 — MVP是BML循环的起点
  • 对比测试 — MVP验证后,用A/B测试优化
  • 转型决策树 — MVP数据不好时,知道何时转型
Files

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.

Changes

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.

  1. 8d ago First seen · 81 lines · 52 tokens per session scan A 4346af8d88c9

Subscribe to this mod's changes

mvp-building is a skill published in the GitHub repository ace3000chao/book2startup (79 stars, last pushed 4mo ago), licensed MIT. It adds 52 tokens to every session and 1,165 once invoked, about $0.0003 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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