pm-cross

pm-cross is a skill for Claude Code from konglong87/superPM. It costs 55 tokens per session (3,488 once invoked), scanned A, original, MIT.

A Chinese-language planning workflow for coordinating work between departments such as product, engineering, design, testing, operations, and legal.

In plain words
What is it for?
Use it to design cross-team processes for requirements, design or technical reviews, testing, releases, issue resolution, meetings, and project updates.
Why use it?
It clarifies who participates, how teams depend on one another, which decisions need review, and how information should be shared.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool.

Part of the super-pm plugin — 55 skills, 1 hook shipped together

Install

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.

agentmods
npx agentmods add skills/konglong87/superpm/pm-cross
Any agent
npx skills add konglong87/superPM --skill pm-cross
Clone the repo
git clone --depth 1 https://github.com/konglong87/superPM

Made for: Claude Code.

Or install super-pm, the plugin that ships this one along with the rest of its 55 skills, 1 hook.

Wrote 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.

agentmods badge for pm-cross

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/pm-cross.svg)](https://agentmods.dev/skills/konglong87/superpm/pm-cross)
Your own site
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-cross"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-cross.svg" alt="Measured on agentmods" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,488 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.03488
Opus 5 $0.00028 $0.01744
Sonnet 5 $0.00011 $0.00698
Haiku 4.5 $0.00006 $0.00349

Measured 6d ago against content hash 6f7bf3ca634f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

pm-cross 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 6d 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.

skills/04-risk-management/pm-cross/SKILL.md · 479 lines

How it starts

The opening of the file, as written. The whole thing — 479 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble

bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
mkdir -p docs/04-风控管理

echo "🤝 跨部门协作方案制定工具已启动"

跨 Agent 交互规则

当流程要求与用户交互时:

  1. 如果当前环境支持 AskUserQuestion,使用 AskUserQuestion(最佳体验)。
  2. 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。
  3. 一次只问一个问题。
  4. 提问后必须停止当前回合,等待用户回答(STOP and WAIT)。
  5. 不得在用户回答前生成文档、写入 docs。
  6. 已有 docs 文件不能替代本轮用户回答。

执行流程

步骤 1: 识别参与部门

使用 AskUserQuestion:

🏢 参与部门识别

本次项目涉及哪些部门?(可多选)

A) 产品部门(需求定义、验收) B) 研发部门(技术实现) C) 设计部门(UI/UX设计) D) 测试部门(质量保障) E) 运营部门(推广、用户反馈) F) 市场部门(品牌、宣传) G) 客服部门(用户支持) H) 法务部门(合规审查) I) 财务部门(预算审批) J) 其他部门(请手动输入)

步骤 2: 明确协作场景

使用 AskUserQuestion:

🔗 协作场景识别

主要的跨部门协作场景:

A) 需求确认与评审 B) 设计稿评审 C) 技术方案评审 D) 测试用例评审 E) 上线发布评审 F) 问题排查与解决 G) 多项组合

步骤 3: 设计协作流程

使用 AskUserQuestion:

📋 协作流程模式

选择协作流程的严格程度:

A) 正式流程(多级审批、文档完备) B) 标准流程(关键节点评审) C) 灵活流程(快速沟通、轻量文档)

继续询问:

🔄 协作依赖关系

部门间是否存在强依赖关系?

A) 串行依赖(部门A完成 → 部门B开始) B) 并行协作(多部门同时进行) C) 混合模式(部分串行、部分并行)

步骤 4: 设计沟通机制

使用 AskUserQuestion:

💬 沟通会议频率

跨部门沟通会议的频率:

A) 每日(快速同步) B) 每周(周会) C) 每迭代(迭代评审) D) 按需(有重要事项时召开)

继续询问:

📢 信息同步方式

项目信息同步的主要方式:

A) 文档协作(Notion/飞书文档) B) 群组沟通(微信群/飞书群) C) 邮件通报 D) 项目管理工具(Jira/Trello) E) 多种方式组合

步骤 5: 明确职责分工

使用 AskUserQuestion:

🎯 决策权归属

关键决策由谁负责:

A) 产品负责人(PO)决策 B) 项目经理(PM)协调决策 C) 委员会决策(多部门负责人) D) 分层决策(按决策类型划分)

步骤 6: 生成跨部门协作方案

使用 Write 工具生成 docs/04-风控管理/跨部门协作方案.md


Subagent 并行加速(v2.0.0 新增)

利用 Agent 工具并行执行独立子任务,大幅缩短总执行时间。

可并行子任务

当步骤1-2的用户信息收集完成后,以下两个任务可以并行执行:

子任务 说明
RACI矩阵生成 基于参与部门和协作场景,自动生成职责分配矩阵
沟通机制设计 根据部门关系和协作模式,输出沟通会议和信息同步方案

触发方式

在步骤6生成文档前,使用 Agent 工具激活子任务并行执行。

V1 vs V2 对比

维度 V1.1.0(串行) V2.0.0(Subagent并行) 节省
职责分配 用户逐一回答决策权问题 Agent并行生成RACI矩阵 约3轮交互
沟通设计 依次询问会议和信息方式 Agent并行输出沟通方案 约2轮交互
总交互轮次 约8-10轮 约4-6轮 减少45%+
耗时估算 8-12分钟 5-7分钟 节省约5分钟

Read the full file on GitHub · 479 lines

Changes

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.

  1. 6d ago First seen · 479 lines · 55 tokens per session scan A 6f7bf3ca634f

Subscribe to this mod's changes

pm-cross is a skill published in the GitHub repository konglong87/superPM (61 stars, last pushed 2d ago), licensed MIT. It adds 55 tokens to every session and 3,488 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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