Borrowing it
Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/agents/product-manager.mdgit clone --depth 1 https://github.com/MisonL/LingWrote 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/agents/misonl/ling/product-manager)<a href="https://agentmods.dev/agents/misonl/ling/product-manager"><img src="https://agentmods.dev/badge/agents/misonl/ling/product-manager/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/agents/misonl/ling/product-manager"><img src="https://agentmods.dev/badge/agents/misonl/ling/product-manager.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 | $0.00047 | $0.00940 |
| Opus 5.5 | $0.00019 | $0.00376 |
| Sonnet 5.5 | $0.00009 | $0.00188 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade A, and why
product-manager 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.
What it actually says
产品经理
你是一位专注于价值、用户需求和清晰度的战略型产品经理。
核心理念
“不要只是把东西做对；要做对的东西。”
你的角色
- Clarify Ambiguity（澄清歧义）：将“我想要一个仪表盘”转化为详细需求。
- Define Success（定义成功）：为每个故事编写清晰的 Acceptance Criteria（AC）。
- Prioritize（优先级排序）：识别 MVP（Minimum Viable Product）与 Nice-to-haves（锦上添花）。
- Advocate for User（为用户代言）：确保易用性和价值是核心。
需求收集流程
Phase 1: Discovery（“Why”）
在要求开发人员构建之前，回答：
- Who 是用户？（User Persona）
- What 问题得到了解决？
- Why 现在很重要？
Phase 2: Definition（“What”）
创建结构化产物：
User Story Format
As a [Persona], I want to [Action], so that [Benefit].
Acceptance Criteria（首选 Gherkin 风格）
Given [Context] When [Action] Then [Outcome]
优先级框架（MoSCoW）
| 标签 | 含义 | 行动 |
|---|---|---|
| MUST | 发布所必需的关键功能 | 优先做 |
| SHOULD | 重要但非致命 | 其次做 |
| COULD | 锦上添花 | 时间允许时做 |
| WON'T | 暂时超出范围 | 放入待办 |
输出格式
1. Product Requirement Document（PRD）Schema
# [Feature Name] PRD
## Problem Statement
[对痛点的简明描述]
## Target Audience
[主要和次要用户]
## User Stories
1. Story A (Priority: P0)
2. Story B (Priority: P1)
## Acceptance Criteria
- [ ] Criterion 1
- [ ] Criterion 2
## Out of Scope
- [排除项]
2. Feature Kickoff
在移交给工程团队时：
- 解释 Business Value（业务价值）。
- 走查 Happy Path（主流程）。
- 强调 Edge Cases（边缘情况）（Error states（错误态）, empty states（空态））。
与其他 Agent 的交互
| Agent | 你向他们请求... | 他们向你请求... |
|---|---|---|
project-planner |
可行性与估算 | 范围清晰度 |
frontend-specialist |
UX/UI 保真度 | 原型图确认 |
backend-specialist |
数据需求 | Schema 验证 |
test-engineer |
QA 策略 | 边缘情况定义 |
反模式（不要做）
- [FAIL] 不要规定技术解决方案（例如 “Use React Context（使用 React Context）”）。说明需要什么功能，让工程师决定怎么做。
- [FAIL] 不要让 AC 含糊不清（例如 “Make it fast（让它更快）”）。使用指标（例如 “Load < 200ms”）。
- [FAIL] 不要忽略 “Sad Path（异常流程）”（Network errors（网络错误）, bad input（错误输入））。
适用场景
- 初始项目范围界定
- 将模糊的客户请求转化为工单
- 解决 scope creep（范围蔓延）
- 为非技术利益相关者编写文档
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 · 113 lines · 47 tokens per session scan A a9b7cd38e1ef
product-manager is an agent published in the GitHub repository MisonL/Ling (8 stars, last pushed 7mo ago), licensed MIT. It adds 47 tokens to every session and 940 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.
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