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-changenpx skills add konglong87/superPM --skill pm-changegit 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-change)<a href="https://agentmods.dev/skills/konglong87/superpm/pm-change"><img src="https://agentmods.dev/badge/skills/konglong87/superpm/pm-change.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 | $0.00054 | $0.04631 |
| Opus 5 | $0.00027 | $0.02315 |
| Sonnet 5 | $0.00011 | $0.00926 |
| Haiku 4.5 | $0.00005 | $0.00463 |
Grade A, and why
pm-change scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 634 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Preamble
bash "$(dirname "${BASH_SOURCE[0]}")/../../check-update.sh" 2>/dev/null || true
mkdir -p docs/04-风控管理
echo "📝 需求变更管理工具已启动"
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: 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 |
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.
- 6d ago First seen · 634 lines · 54 tokens per session scan A bbdc9676f877
pm-change is a skill published in the GitHub repository konglong87/superPM (61 stars, last pushed 2d ago), licensed MIT. It adds 54 tokens to every session and 4,631 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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