super-plumber: Skill for Claude Code

.pi/skills/plumber-design/SKILL.md

plumber-design is a skill for Claude Code, Codex from LUKAWI/super-plumber. It costs 152 tokens per session (3,043 once invoked), scanned A, original, MIT.

A design workflow for breaking a request into a dependency map of tasks, represented as a graph with starting and ending points. A graph shows how tasks connect and which ones depend on others.

In plain words
What is it for?
Use it to create or revise .graph task topologies, validate their structure, preview them in a browser, and request approval before execution.
Why use it?
It helps turn a broad request into an organized execution plan and adds a review checkpoint before work begins.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

This is LUKAWI/super-plumber's own configuration. It tells Claude Code and Codex how to work on super-plumber itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything super-plumber configures →

Reuse

Borrowing it

Nothing to install: this file belongs to LUKAWI/super-plumber. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/LUKAWI/super-plumber/master/.pi/skills/plumber-design/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/LUKAWI/super-plumber

Made for: Claude Code, Codex.

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 plumber-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/lukawi/super-plumber/plumber-design.svg)](https://agentmods.dev/skills/lukawi/super-plumber/plumber-design)
Your own site
<a href="https://agentmods.dev/skills/lukawi/super-plumber/plumber-design"><img src="https://agentmods.dev/badge/skills/lukawi/super-plumber/plumber-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 152 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,043 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.
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 $0.00152 $0.03043
Opus 5 $0.00076 $0.01522
Sonnet 5 $0.00030 $0.00609
Haiku 4.5 $0.00015 $0.00304

Measured yesterday against content hash 3a62dcf7d03a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

plumber-design 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 yesterday.

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.

.pi/skills/plumber-design/SKILL.md · 73 lines

How it starts

The opening of the file, as written. The whole thing — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plumber Design — 主线程编排剧本:需求 → 拓扑图 → 预览审核

Overview

  • 产出物 = 用户审核通过的拓扑图(v0.5 起含领域结构:bounded context 与 ADR 是图中一等公民),不是执行结果。
  • 本页是完整设计流程:无 sp-designer 也可独立完成需求理解、建图、验证与审核。Operations 手册提供操作语法;sp-designer 是可选的 subagent 角色适配,不是本技能的运行依赖。细则按需读 attachments/。

审核是硬性 gate:用户批准之前绝不进入执行阶段;审核通过后切换 plumber-execute

代理层级边界:skill 文本和“有 subagent 工具”都不能可靠识别代理深度,故每个会话默认无派单权,不得从能力存在推断授权。只有直接承接用户需求的外层协调者可持一次性、不可转授的 orchestrator 授权直接派 sp-designer;授权在派发时耗尽,子任务只收到 leaf 约束,绝不可向下复制。缺授权一律走 solo。当前通用宿主未向 skill 暴露可验证的签名层级令牌,因此这是行为协议而非硬隔离:需要强保证的宿主还必须在工具层移除子 agent 的派发能力。

When to Use / 衔接关系(subagent 与 skill 已解耦)

  • Use:接到新需求需拆解为 3–20 个有依赖关系的任务;设计或修改 .graph/ 拓扑(entry/exit、节点、边);验证拓扑质量;serve 预览并请求用户审核;审核后提修改意见 → 回本 skill(改图 → 重验 → 重预览 → 再审)。Do NOT:执行已审核通过的拓扑(用 plumber-execute);纯 todo 列表。
  • 本技能保留完整设计方法;sp-designer 供支持 subagent 的应用独立派单使用,两者允许必要的方法重叠。
  • 外层协调者持未使用的 orchestrator 授权且需要专职设计 → 按「派单模板」直接派一个叶子 sp-designer;未持授权或检测不到可用 subagent → 走「solo 分支」主线程扮演。被派会话一律不得再派。
  • 用户审核通过 → 进入 plumber-execute(建议用户明确说"开始执行");节点状态裁决 / checkpoint 聚合 / 重试管理 → super-mario agent。

流程(Phase 0 定档 + 5 步,严格按序,绝不跳步)

Phase 0 — 路由决策表(两问定档,先于 Step 1;DEC-2,adr_0018 修订)

按顺序定档:① 关键未知是否阻止形成可信交付计划? 是 → program(切 chart 模式,研究后渐进完善计划);否 → ② 一个会话内能完成并验收吗? 是 → quick(单节点图,entry/exit 各一句话,跳过 serve 人审与 doctor、只跑 graph validate,claim→report→passed,init 后 graph approve --by <agent 名> --status self 自签);否 → standard(Step 1–5 一项不减)。跨会话、跨图、跨仓库和并行人数不单独触发 program。可信计划的定义、判例、存疑处理、转档条件与凭据纪律(adr_0016)→ attachments/workflow-classes.md;定档后出现使主要计划失效的关键未知 → 回本节重判。

Step 1 — 理解需求

向用户确认:目标是什么?交付物是什么?边界(不做什么)?有歧义就问,不要猜——需求不清,图必错。

Step 2 — 设计建图(可选委派)(先 entry/exit 后 L1-Ln 是铁律)

  • 两条铁律写进派单:entry 和 exit 永远第一个定义(先图级字段后 L1-Ln 分层动脉);需求跨多个关注点 → 领域建模与 ADR 甄别是 designer 必做项(bounded context 划界/术语表/跨 context 契约边、够三判据的 ADR),点名不可裁剪。节点类型×默认纪律与 plan 纪律指针写法(WF07)→ attachments/disciplines-map.md
  • 按下列完整建图序列执行并通过体检,操作语法查手册 §2;不要求读取或安装 designer 角色文件。置层准则(IL-001):level 表达少数有意义的分层带(与分期/领域结构对齐),不把依赖深度编码进 level,层数建议 ≤5、避免单节点层;designer 出图前先声明置层方案(分几带、每带含义),声明与图不符按设计缺陷返工——细则 → 手册 §2.9。
  • 完整建图序列:先定义图级 entry(输入/约束)与 exit(交付物/验收),再划 L1 主干(通常 3–7 项,quick 单节点例外)并细化可执行节点。每个 task 写明 plan、可核验 DoD、level 与 checkpoints(通常 2–4 个,quick 按档位裁剪)。依赖边 source 为前置、target 为后继;按真实门槛选 depends_on、fan_out/fan_in 等边型,不把所有关系都写成阻塞依赖(九边语义查手册 §3)。跨关注点时建立 context 的 boundary、glossary、contracts,明确成员归属与跨域契约。决策同时满足“难逆转、脱离上下文令人费解、存在真实权衡”才建 proposed ADR 并以 decides 挂到管辖对象,否则写进 plan;accept/supersede 留给裁决方。设计报告列 L1、置层方案、context/ADR 数量(为零说明理由)和验证结果。
  • 查历史拒绝理由(WF05,出图/改图前必做):看软删归档(ls .graph/*/nodes/*.deleted*.yaml,读 deleted_reason 等顶层键)→ graph events -k node_deleted --json 补全旧档理由 → 待建/待改节点命中已删方案时,设计报告逐一回应删除理由(换道,或给出理由已失效的依据),无回应 = 重蹈已否决方案,按设计缺陷返工。有 subagent 时主线程先筛、命中结果随派单交付 designer;solo 分支动笔前自跑。
  • 有未使用的 orchestrator 授权且需要专职设计:按「派单模板」直接派出一个叶子 sp-designer,等待其交付 .graph/ 与设计报告;无授权、无 subagent 或当前已经被派 → 走「solo 分支」。

Read the full file on GitHub · 73 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday Changed · +1 lines 3a62dcf7d03a
  2. 3d ago Changed · -42 lines e9219cf0067a
  3. 4d ago Changed · +22 lines 2be7d0080400
  4. 8d ago First seen · 92 lines · 152 tokens per session scan A b446342b08e0

Subscribe to this mod's changes

plumber-design is a skill published in the GitHub repository LUKAWI/super-plumber (3 stars, last pushed yesterday), licensed MIT. It adds 152 tokens to every session and 3,043 once invoked, about $0.0008 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens