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/konglong87/superpm/pm-positionnpx skills add konglong87/superPM --skill pm-positiongit 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-position)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-position"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-position.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 | $0.00046 | $0.02265 |
| Opus 5 | $0.00023 | $0.01132 |
| Sonnet 5 | $0.00009 | $0.00453 |
| Haiku 4.5 | $0.00005 | $0.00227 |
Grade A, and why
pm-position scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
mkdir -p docs/02-方案设计
echo "📊 正在检查前置文档..."
if [ -f "docs/01-需求调研/需求调研报告.md" ]; then
echo "✅ 需求调研报告 - 已找到"
else
echo "⏳ 需求调研报告 - 未找到"
fi
if [ -f "docs/01-需求调研/市场调研报告.md" ]; then
echo "✅ 市场调研报告 - 已找到"
else
echo "⏳ 市场调研报告 - 未找到"
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: 明确产品定位
您希望通过产品定位解决什么问题?
A) 明确产品在市场中的位置(市场定位) B) 明确产品的核心价值主张(价值定位) C) 明确目标用户和场景(用户定位) D) 明确与竞品的差异(竞争定位) E) 全方位产品定位(包含以上所有)
步骤 2: 市场定位
2.1 目标市场分析
🎯 目标市场分析:
市场规模:TAM(总市场){数据} / SAM(可服务){数据} / SOM(可获取){数据} 市场增长:年增长率{数据},驱动因素{因素}
您希望聚焦哪个细分市场?
A) 大众市场(覆盖广泛) B) 细分市场(聚焦特定人群) C) 垂直市场(深耕垂直领域)
2.2 市场切入点
切入点选择: A) 痛点切入 - 需求明确,竞争激烈 B) 技术创新切入 - 差异化明显,技术壁垒 C) 模式创新切入 - 先发优势,可复制 D) 价格优势切入 - 价格敏感用户,利润率低
步骤 3: 价值定位
3.1 核心价值主张
💎 价值主张模板: "为{目标用户},提供{核心价值},相比{竞品},我们{差异化优势}"
例:"为25-35岁白领,提供30分钟生鲜配送,相比传统电商,我们通过前置仓实现极速配送"
请补充您的价值主张,A) 符合继续 B) 需要调整
3.2 差异化优势
⭐ 差异化维度(选2-3个核心): A) 产品功能 B) 用户体验 C) 价格 D) 服务 E) 品牌 F) 技术
步骤 4: 用户定位
4.1 目标用户画像
👥 细化用户画像:
- 人口统计:年龄、性别、地域、收入、职业
- 心理特征:价值观、生活方式、消费习惯
- 行为特征:使用场景、频率、痛点
4.2 用户使用场景
🎬 典型使用场景: 场景N:{用户}在{触发}时想达成{目标},现有方案不足{痛点},你的产品提供{价值}
步骤 5: 竞争定位
5.1 竞品分析(Subagent 并行优化)
使用 AskUserQuestion 收集竞品列表:
请列出您的主要竞品(建议2-5个):
用户输入后,记录到变量 COMPETITOR_LIST
并行派发 subagent 分析每个竞品:
使用 Agent 工具并行派发 N 个 subagent(N = 竞品数量):
Agent 1: 分析竞品1 - prompt 包含竞品名称和分析维度(定位/用户/功能/优劣势/市场表现),输出JSON
Agent 2: 分析竞品2 - [同上结构]
Agent N: 分析竞品N - [同上结构]
主 agent 等待所有 subagent 完成,收集结果生成对比表格:
| 维度 | 竞品1 | 竞品2 | 竞品3 | 我们 |
|---|---|---|---|---|
| 定位 | ... | ... | ... | ... |
| 目标用户 | ... | ... | ... | ... |
| 优势 | ... | ... | ... | ... |
| 劣势 | ... | ... | ... | ... |
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.
- 5d ago First seen · 264 lines · 46 tokens per session scan A 185947a9daa6
pm-position is a skill published in the GitHub repository konglong87/superPM (60 stars, last pushed 22d ago), licensed MIT. It adds 46 tokens to every session and 2,265 once invoked, about $0.0002 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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