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/superPM --skill pm-mvpgit clone --depth 1 https://github.com/konglong87/superPMWrote 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/superpm/pm-mvp)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-mvp"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-mvp.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.02003 |
| Opus 5 | $0.00030 | $0.01001 |
| Sonnet 5 | $0.00012 | $0.00401 |
| Haiku 4.5 | $0.00006 | $0.00200 |
Grade A, and why
pm-mvp scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
# 创建需求调研目录
mkdir -p docs/01-需求调研
# 检查是否有优先级排序报告
if [ ! -f "docs/01-需求调研/优先级排序报告.md" ]; then
echo "⚠️ 未找到优先级排序报告"
echo ""
echo "建议先执行 /pm-priority 排序需求"
echo ""
echo "您可以选择:"
echo "A) 执行 /pm-priority 先排序需求(推荐)"
echo "B) 手动选择MVP功能(快速模式)"
fi
跨 Agent 交互规则
当流程要求与用户交互时:
- 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
- 如果当前环境不支持 AskUserQuestion,必须用普通聊天消息提出同样问题。
- 一次只问一个问题。
- 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
- 不得在用户回答前生成文档、写入 docs。
- 已有 docs 文件不能替代本轮用户回答。
执行流程
步骤 1: 读取前置数据
使用 Read 工具读取:
docs/01-需求调研/优先级排序报告.md(提取P0需求)docs/01-需求调研/需求调研报告.md(提取痛点)
步骤 2: 选择MVP模式
使用 AskUserQuestion:
🎯 选择MVP模式:
A) 最小MVP - 仅核心功能,快速验证(2-4周) B) 标准MVP - 核心功能+基础体验(1-2月) C) 全链路MVP - 完整用户流程(2-3月) D) 自定义MVP - 我来选择功能
步骤 3: 确定核心功能集
如果是最小MVP:
选择P0级需求中最核心的3-5个功能。
如果是标准MVP:
选择全部P0级需求。
如果是全链路MVP:
选择P0+部分P1需求,覆盖完整用户流程。
如果是自定义:
逐个询问每个需求是否纳入MVP。
步骤 4: 风险评估
AI评估MVP方案的风险:
技术风险:
- 是否有技术难点?
- 是否需要新技术栈?
业务风险:
- 市场窗口是否足够?
- 竞品是否会抢先?
资源风险:
- 团队是否有足够人力?
- 预算是否充足?
步骤 5: 生成MVP方案
使用 Write 工具创建 docs/01-需求调研/MVP方案.md:
# MVP方案
## 一、MVP概述
- **MVP模式**: {模式名称}
- **目标上线时间**: {时间}
- **核心验证目标**: {验证什么}
- **生成时间**: {当前时间}
---
## 二、核心功能集
| 序号 | 功能名称 | 优先级 | 工作量 | 负责人 |
|------|----------|--------|--------|--------|
| 1 | {功能1} | P0 | {工作量} | 待定 |
| 2 | {功能2} | P0 | {工作量} | 待定 |
| 3 | {功能3} | P0 | {工作量} | 待定 |
---
## 三、用户流程
### 3.1 核心用户旅程
用户进入 → {步骤1} → {步骤2} → {步骤3} → 完成
### 3.2 关键触点
- 触点1: {描述}
- 触点2: {描述}
---
## 四、技术方案
### 4.1 技术栈
- 前端: {技术}
- 后端: {技术}
- 数据库: {技术}
### 4.2 关键技术点
1. {技术点1}
2. {技术点2}
---
## 五、风险评估
### 5.1 技术风险
**风险**: {描述}
**应对**: {方案}
### 5.2 业务风险
**风险**: {描述}
**应对**: {方案}
### 5.3 资源风险
**风险**: {描述}
**应对**: {方案}
---
## 六、里程碑规划
| 里程碑 | 时间 | 交付物 |
|--------|------|--------|
| 设计完成 | Week 1 | 设计稿、原型 |
| 开发完成 | Week 2-3 | 功能代码 |
| 测试完成 | Week 4 | 测试报告 |
| 上线 | Week 5 | 产品上线 |
---
## 七、成功标准
### 7.1 业务指标
- 用户数: {目标}
- 留存率: {目标}
- 核心行为: {目标}
### 7.2 技术指标
- 性能: {目标}
- 稳定性: {目标}
---
## 八、下一步建议
建议执行:
1. **/pm-docs** - 生成PRD文档(推荐)
2. **/pm-proto** - 原型设计
3. **/pm-tech** - 技术对接方案
---
**项目状态**: MVP规划完成
**生成时间**: {时间戳}
**生成工具**: super-pm
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.
- 8d ago First seen · 308 lines · 61 tokens per session scan A fd9dbae40740
pm-mvp is a skill published in the GitHub repository konglong87/superPM (62 stars, last pushed 4d ago), licensed MIT. It adds 61 tokens to every session and 2,003 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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