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-demandnpx skills add konglong87/superPM --skill pm-demandgit 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-demand)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-demand"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-demand.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 5.1 | $0.00147 | $0.04179 |
| Opus 5 | $0.00073 | $0.02090 |
| Sonnet 5 | $0.00029 | $0.00836 |
| Haiku 4.5 | $0.00015 | $0.00418 |
Grade A, and why
pm-demand scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble (run first)
bash "$(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
# 检查是否已有需求调研报告
if [ -f "docs/01-需求调研/需求调研报告.md" ]; then
echo "⚠️ 检测到已有需求调研报告"
echo ""
echo "您可以选择:"
echo "A) 查看现有报告"
echo "B) 重新调研(会覆盖现有报告)"
echo "C) 补充调研(在现有基础上补充)"
fi
前置门禁
无论从哪个入口进入,都必须执行前置文档检查:
- 检查
docs/01-需求调研/中是否有创意方案库(pm-brainstorm 的输出文档) - 如果有 → 读取文档,判断是否与当前用户描述的产品相关
- 相关 → 前置已满足,继续执行
- 不相关 → 停止,建议先执行
/pm-brainstorm
- 如果没有 → 检查用户是否明确说"跳过 brainstorm / 直接需求调研 / 已完成头脑风暴"
- 明确跳过 → 继续执行
- 否则 → 停止,建议先执行
/pm-brainstorm
不得在门禁不满足时生成需求调研报告。
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
所有步骤均为 [MANDATORY],不得跳过任何步骤。完成当前步骤之前不得进入下一步骤。
步骤 1 [MANDATORY]: 收集产品基础信息
关键原则:
- 使用 AskUserQuestion 逐个询问
- 每个问题清晰、聚焦
- 等待用户回答后再问下一个
问题 1: 产品名称
使用 AskUserQuestion 询问:
请问您的产品名称是什么?
💡 提示:例如"每日优鲜"、"小红书"、"微信"
用户输入后,记录到变量 PRODUCT_NAME
问题 2: 目标用户
目标用户是谁?
A) C端用户(个人消费者) B) B端用户(企业客户) C) 双边市场(平台模式) D) 其他(请手动输入)
💡 提示:选择后请进一步细化,如"25-35岁一线城市女性"、"中小型餐饮老板"
用户回答后,记录到变量 TARGET_USER
问题 3: 核心业务目标
您希望达成的核心业务目标是什么?
A) 提升收入(如GMV、付费转化) B) 提升用户规模(如DAU、MAU) C) 提升用户留存(如复购率、日活) D) 降低成本(如人力、运营成本) E) 其他(请手动输入)
💡 提示:目标应该可量化,如"3个月内GMV达到100万"
用户回答后,记录到变量 BUSINESS_GOAL
问题 4: 核心痛点(关键验证)
关键问题:用户现在面临的最大痛点是什么?
A) 效率低下(耗时太长、步骤太多) B) 体验糟糕(难用、不友好) C) 成本过高(太贵、负担重) D) 无法解决(现有方案无法满足需求) E) 其他(请手动输入)
💡 提示:思考"用户为什么需要这个产品,而不是用竞品或维持现状?"
用户回答后,AI 立即进行痛点强度判断:
痛点验证逻辑:
如果用户选择 A/B/C/D:
✅ 痛点强度:⭐⭐⭐⭐⭐(强痛点)
💡 理由:用户有明确的痛点,愿意为解决方案付费/花时间
继续收集更多信息...
如果用户选择 E(其他)且描述模糊:
⚠️ 痛点强度:⭐⭐(弱痛点)
💡 建议:痛点不够清晰,可能是伪需求
您可以选择:
A) 继续调研(我需要更深入挖掘痛点)
B) 重新思考产品定位
C) 暂停,我需要更多信息
是否继续?
记录到变量 USER_PAIN_POINT 和 PAIN_INTENSITY
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 · 427 lines · 147 tokens per session scan A 0adb08e6ddb6
pm-demand is a skill published in the GitHub repository konglong87/superPM (61 stars, last pushed 2d ago), licensed MIT. It adds 147 tokens to every session and 4,179 once invoked, about $0.0007 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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