pm-change

pm-change is a skill for Claude Code from konglong87/superPM. It costs 54 tokens per session (4,685 once invoked), scanned A, original, MIT.

A requirements-change workflow for recording a proposed change, assessing its effects, and deciding whether to approve it.

In plain words
What is it for?
Use it when project requirements change and you need to record the reason, estimate the impact, identify the required approvers, and document the decision.
Why use it?
It helps teams understand how a change may affect features, timing, architecture, testing, users, data, integrations, or budget before acting on it.

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 — 57 skills, 1 hook shipped together

Good fit Use it when project requirements change and you need to record the reason, estimate the impact, identify the required approvers, and document the decision.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/konglong87/superpm/pm-change
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.

Any agent
npx skills add konglong87/superPM --skill pm-change
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 57 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-change

README.md
[![agentmods](https://agentmods.dev/badge/skills/konglong87/superpm/pm-change/github.svg)](https://agentmods.dev/skills/konglong87/superpm/pm-change)
Your own site
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-change"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-change/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.

agentmods 80×15 button for pm-change

Your own site · 80×15
<a href="https://agentmods.dev/skills/konglong87/superpm/pm-change"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-change.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 54 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,685 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00054 $0.04685
Opus 5.5 $0.00022 $0.01874
Sonnet 5.5 $0.00011 $0.00937
Haiku 4.5 $0.00005 $0.00468

Measured 26d ago against content hash a7d2fc7429e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pm-change 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 26d 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-change/SKILL.md · 637 lines

How it starts

The opening of the file, as written. The whole thing — 637 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Preamble

echo "📝 需求变更管理工具已启动"

写入时边界

只讨论时不写文件,启动检查不创建目录。用户要求保存产物时,先确认当前产品、精确输出路径及已有文件的覆盖/追加选择;确认后仅在实际 Write 前创建该输出文件的父目录。完整安装可参见 skills/_shared/artifact-policy.md,单独安装本 skill 也按本段执行。


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: 记录变更申请

使用 AskUserQuestion:

📋 变更来源

变更申请的来源:

A) 用户反馈(用户需求变化) B) 竞品动态(市场变化) C) 业务调整(战略调整) D) 技术限制(技术实现问题) E) 法规要求(合规需求) F) 其他原因(请手动输入)

继续询问:

🎯 变更类型

本次变更的类型:

A) 新增需求(增加新功能) B) 修改需求(调整现有功能) C) 删除需求(取消原定功能) D) 优先级调整(改变开发顺序)

步骤 2: 影响评估

使用 AskUserQuestion:

📊 影响范围评估

变更影响哪些方面?(可多选)

A) 功能范围(新增/修改功能模块) B) 开发进度(工期延长) C) 技术架构(架构调整) D) 测试范围(回归测试) E) 用户体验(交互变化) F) 数据迁移(数据结构变化) G) 第三方集成(接口变化) H) 成本预算(资源增加)

继续询问:

⏱️ 影响程度评估

变更的影响程度:

A) 轻微影响(工期 < 2天,影响 < 1个模块) B) 中等影响(工期 2-5天,影响 1-3个模块) C) 重大影响(工期 > 5天,影响 > 3个模块) D) 致命影响(影响核心功能或架构)

步骤 3: 变更决策

使用 AskUserQuestion:

✅ 变更审批级别

根据影响程度,需要谁审批?

A) 项目经理审批(轻微影响) B) 产品负责人 + 技术负责人审批(中等影响) C) 变更控制委员会(CCB)审批(重大影响) D) 指导委员会审批(致命影响)

继续询问:

🔄 变更决策结果

变更审批结果:

A) 批准变更(同意执行) B) 有条件批准(需满足特定条件) C) 延期评估(稍后再议) D) 拒绝变更(不执行)

步骤 4: 制定变更计划

使用 AskUserQuestion:

📅 变更执行时机

何时执行变更?

A) 立即执行(紧急变更) B) 当前迭代(本周内) C) 下个迭代(下周) D) 后续版本(排入待办)

步骤 5: 记录变更

使用 Write 工具更新 docs/04-风控管理/需求变更记录.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1-4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
影响深度分析 基于变更类型和影响范围,自动生成影响评估矩阵
变更计划草拟 根据审批结果和执行时机,自动生成变更执行计划文档

触发方式

在步骤5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
影响分析 用户逐一回答影响范围 Agent并行分析多维度影响 约3轮交互
变更计划 依次询问执行细节 Agent自动生成执行计划 约2轮交互
总交互轮次 约10-12轮 约5-7轮 减少45%+
耗时估算 10-15分钟 5-8分钟 节省约6分钟

Read the full file on GitHub · 637 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. 26d ago Changed · +3 lines a7d2fc7429e9
  2. 1mo ago First seen · 634 lines · 54 tokens per session scan A bbdc9676f877

Subscribe to this mod's changes

pm-change is a skill published in the GitHub repository konglong87/superPM (77 stars, last pushed 7d ago), licensed MIT. It adds 54 tokens to every session and 4,685 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 2026-08-30.