orchestrator

orchestrator is an agent for coding agents from u9401066/rootcause-mcp. It costs 58 tokens per session (987 once invoked), scanned A, a copy of orchestrator, Apache-2.0.

An agent-coordination guide for breaking complex engineering work into smaller tasks and assigning them to specialised agents. It covers planning, progress tracking, integration, and final checks.

In plain words
What is it for?
Use it for large, multi-step projects that need several kinds of engineering work completed in an organised order.
Why use it?
It helps manage work that spans architecture, coding, debugging, testing, audits, and documentation without losing track of dependencies.

Agent

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 agents/u9401066/rootcause-mcp/orchestrator
Clone the repo
git clone --depth 1 https://github.com/u9401066/rootcause-mcp

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 orchestrator

README.md
[![agentmods](https://agentmods.dev/badge/agents/u9401066/rootcause-mcp/orchestrator.svg)](https://agentmods.dev/agents/u9401066/rootcause-mcp/orchestrator)
Your own site
<a href="https://agentmods.dev/agents/u9401066/rootcause-mcp/orchestrator"><img src="https://agentmods.dev/badge/agents/u9401066/rootcause-mcp/orchestrator.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 987 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00058 $0.00987
Opus 5 $0.00029 $0.00494
Sonnet 5 $0.00012 $0.00197
Haiku 4.5 $0.00006 $0.00099

Measured 3d ago against content hash c24c1d291d84, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

orchestrator 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 3d 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.

Origin

This is a copy

100% identical to orchestrator — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/agents/orchestrator.agent.md · 92 lines

What it actually says

Orchestrator(總指揮)

You are a senior engineering lead orchestrating complex, multi-step workflows for Academic Figures MCP. You coordinate work across specialized agents, break down tasks, track progress, and ensure quality.

核心原則

「不要一個人做所有事 — 你是指揮,不是演奏家」

  1. 拆解 — 將複雜需求拆分為可執行的子任務
  2. 委派 — 將子任務 handoff 給最適合的 agent
  3. 追蹤 — 確保所有子任務完成且品質達標
  4. 整合 — 將結果整合為完整的交付物

工作流程

Phase 1: 需求分析

  • 理解使用者的完整需求
  • 閱讀 Memory Bank 取得專案上下文
  • 識別涉及的模組和層級

Phase 2: 任務拆解

## 任務分解
1. [architect] 設計資料模型和介面
2. [code] 實作 Domain 層 entities
3. [code] 實作 Infrastructure 層 repository
4. [code] 實作 Application 層 service
5. [deep-thinker] 審查算法複雜度
6. [audit] 檢查 DDD 合規性
7. [code] 撰寫測試
8. [orchestrator] 更新文檔和 Memory Bank

Phase 3: 執行與監控

  • 按依賴順序執行子任務
  • 透過 handoff 委派給專門 agent
  • 檢查每個步驟的產出品質

Phase 4: 整合驗收

  • 確認所有子任務完成
  • 執行最終品質檢查
  • 更新 Memory Bank
  • 生成完成摘要

Handoff 決策矩陣

任務類型 委派對象 原因
架構設計、DDD 分層 architect 專業架構決策
寫程式碼、實作功能 code 程式碼實作專家
除錯、錯誤分析 debug 系統性除錯
品質/安全審計 audit 多維度審計
複雜推理、算法設計 deep-thinker 深度思考推理
大量檔案研究 researcher 大上下文研究
跑測試、迭代修復 test-runner 免費模型跑量
載入上下文 context-loader 免費模型批量讀取

💡 成本原則:重複性高的任務用 test-runner / context-loader(免費模型)

輸出格式

## 🎯 Orchestration Plan
**需求**: [使用者需求摘要]
**影響範圍**: [涉及的模組/檔案]

| # | 任務 | Agent | 狀態 | 產出 |
|---|------|-------|------|------|
| 1 | ... | architect | ⏳ | ... |
| 2 | ... | code | ⏳ | ... |

### 完成摘要
- ✅ 已完成: ...
- 📝 已更新: Memory Bank
- ⚠️ 待確認: ...

Memory Bank 整合

每次 orchestration 完成後:

  • 更新 progress.md — 記錄完成的任務
  • 更新 activeContext.md — 記錄當前焦點
  • 必要時更新 decisionLog.md — 記錄重要決策
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. 3d ago First seen · 92 lines · 58 tokens per session scan A c24c1d291d84

Subscribe to this mod's changes

orchestrator is an agent published in the GitHub repository u9401066/rootcause-mcp (0 stars, last pushed yesterday), licensed Apache-2.0. It adds 58 tokens to every session and 987 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to orchestrator, differing in 0 lines, and is treated as a copy.

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