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 konglong87/methodology-skills --skill mvp-firstgit clone --depth 1 https://github.com/konglong87/methodology-skillsWrote 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/konglong87/methodology-skills/mvp-first)<a href="https://agentmods.dev/skills/konglong87/methodology-skills/mvp-first"><img src="https://agentmods.dev/badge/skills/konglong87/methodology-skills/mvp-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/konglong87/methodology-skills/mvp-first"><img src="https://agentmods.dev/badge/skills/konglong87/methodology-skills/mvp-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 | $0.00049 | $0.05628 |
| Opus 5.5 | $0.00020 | $0.02251 |
| Sonnet 5.5 | $0.00010 | $0.01126 |
| Haiku 4.5 | $0.00005 | $0.00563 |
Grade A, and why
mvp-first scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 611 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MVP First
前置协议
环境检测
PROJECT_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || echo "unknown")
BRANCH=$(git branch --show-current 2>/dev/null || echo "unknown")
COMMIT=$(git rev-parse --short HEAD 2>/dev/null || echo "unknown")
echo "PROJECT: $PROJECT_ROOT"
echo "BRANCH: $BRANCH"
echo "COMMIT: $COMMIT"
前置技能检查
# 检查前置工件
GOAL_ARTIFACT="memory/artifacts/goal-oriented/latest.json"
DDD_ARTIFACT="memory/artifacts/ddd-strategic/latest.json"
if [ -f "$GOAL_ARTIFACT" ]; then
echo "FOUND: goal-oriented artifact"
fi
if [ -f "$DDD_ARTIFACT" ]; then
echo "FOUND: ddd-strategic-design artifact"
fi
mkdir -p memory/artifacts/mvp-first
MVP First
Overview
MVP(Minimum Viable Product)不是"最小可用产品",而是"最小可验证产品"。
核心目的:用最小成本验证关键假设,避免基于未经验证的假设投入大量资源。
MVP 的目标是学习,不是交付产品。每一次 MVP 都是在回答一个关键问题:用户真的需要这个吗?
When to Use
digraph when_to_use {
rankdir=TB;
node [shape=box, style=filled, color="#c8e6c9"];
"用户提出新需求" [shape=ellipse, color="#bbdefb"];
"功能是否复杂?" [shape=diamond, color="#fff9c4"];
"是否验证过假设?" [shape=diamond, color="#fff9c4"];
"直接实现" [color="#f8bbd0"];
"应用 MVP 思维" [color="#c8e6c9"];
"用户提出新需求" -> "功能是否复杂?";
"功能是否复杂?" -> "直接实现" [label="否, 简单修改"];
"功能是否复杂?" -> "是否验证过假设?" [label="是, 新系统"];
"是否验证过假设?" -> "直接实现" [label="是"];
"是否验证过假设?" -> "应用 MVP 思维" [label="否"];
}
触发场景:
- 用户说"我想做一个XX功能"、"帮我规划这个项目"
- 功能涉及多个子系统或复杂架构
- 用户未验证过需求假设
不适用场景:
- 简单的 bug 修复或配置修改
- 用户明确要求完整方案
- 已经验证过需求的项目迭代
The MVP Mindset
Core Questions (Must Ask Before Implementation)
在给出任何实现方案前,必须回答:
-
核心假设是什么?
- 用户真的需要这个功能吗?
- 用户会使用这个功能吗?
- 这个功能能解决用户的问题吗?
-
最小验证成本是什么?
- 如何用最少的时间和资源验证假设?
- 能不能先手动做一遍?
- 能不能用现成工具代替开发?
-
验证成功的标准是什么?
- 多少用户使用算成功?
- 什么数据证明假设成立?
- 多久能得到结论?
MVP is NOT
❌ MVP 不是"功能简化版"
- "保留核心功能,砍掉次要功能" → 这是产品规划,不是 MVP
- MVP 的目标不是交付产品,而是验证假设
❌ MVP 不是"上线最小可用版本"
- "先上线再迭代" → 可能浪费数周开发用户不需要的功能
- MVP 可以不上线,甚至不需要写代码
❌ MVP 不是"快速交付"
- "1周上线" → 如果方向错误,1周也是浪费
- MVP 的目标是学习方向,不是交付速度
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.
- 1mo ago First seen · 611 lines · 49 tokens per session scan A 4abd4bf5a591
mvp-first is a skill published in the GitHub repository konglong87/methodology-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 49 tokens to every session and 5,628 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
Other skills, from other repositories
importing-a-codebase
Use when asked to create the initial spec graph for an existing codebase that has source code but no specs. Normally reached via setting-up-a-project.
starting-a-new-project
Use when the workspace is empty, has no code, and the user brings a raw project idea. Normally reached via setting-up-a-project; not for an existing project.
managing-mcp-servers
Use when the user asks to add, change, remove, enable or disable an MCP server, or when an MCP tool is missing, needs sign-in, fails, or was blocked. ThinkRail runs pi in-process, so there is no pi command to call.
todos
Use when the user asks for a shared plan, a task needs at least three substantive execution steps, or a loose TODO is pending. Without an explicit plan request, not for one-shot answers or checks, or one- to two-step work that is not already in the list.
asking-user-questions
Use when composing an askuserquestion round inside a workflow, or when a workflow skill names it at a question step. Shared norms for the tool — not a workflow, nothing to execute.
writing-workflow-skills
Use when adding a new workflow skill to pi-thinkrail-workflow, changing an existing workflow skill's role, trigger, handoff, or structure, or checking a workflow skill against the workflow system's rules. Not for authoring general-purpose skills outside this package.