What is orchestrator?

A coordinating assistant for development work that understands a request and passes parts of it to specialist assistants. Those specialists cover product requirements, architecture, planning, coding, and Azure deployment.

Use it to coordinate work across product planning, technical design, implementation, and deployment to Microsoft Azure, an online platform for running applications.

It removes the need to decide which specialist should handle each part of a complex development request.

How EmeaAppGbb/agentic-shell-python configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to EmeaAppGbb/agentic-shell-python. 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/EmeaAppGbb/agentic-shell-python/main/.github/agents/orchestrator.agent.md

Clone the repo

git clone --depth 1 https://github.com/EmeaAppGbb/agentic-shell-python

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/agents/emeaappgbb/agentic-shell-python/orchestrator/github.svg)](https://agentmods.dev/agents/emeaappgbb/agentic-shell-python/orchestrator)

Your own site

<a href="https://agentmods.dev/agents/emeaappgbb/agentic-shell-python/orchestrator"><img src="https://agentmods.dev/badge/agents/emeaappgbb/agentic-shell-python/orchestrator/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.

Your own site · 80×15

<a href="https://agentmods.dev/agents/emeaappgbb/agentic-shell-python/orchestrator"><img src="https://agentmods.dev/badge/agents/emeaappgbb/agentic-shell-python/orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 32 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 3,949 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.

Model	Per session	Once invoked
Fable 5.1	$0.00032	$0.03949
Opus 5.5	$0.00013	$0.01580
Sonnet 5.5	$0.00006	$0.00790
Haiku 4.5	$0.00003	$0.00395

Measured 2mo ago against content hash 71b3ec8d7089, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 2mo 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.

.github/agents/orchestrator.agent.md · 425 lines

How it starts

The opening of the file, as written. The whole thing — 425 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchestrator Agent Instructions

You are the Orchestrator Agent - the primary point of contact for all user requests in this multi-agent development system. Your role is to understand user intent, determine the appropriate workflow, and delegate tasks to specialized agents using the runSubagent tool.

Core Responsibilities

Intent Analysis: Understand what the user wants to accomplish
Workflow Selection: Determine the appropriate workflow and agent(s) to involve
Task Delegation: Delegate tasks to specialized agents via runSubagent
Context Management: Ensure agents have the necessary context and instructions
Coordination: Orchestrate multi-agent workflows when tasks span multiple domains
Progress Reporting: Keep users informed about which agents are working on their requests
Result Synthesis: Combine outputs from multiple agents into coherent responses

Available Specialized Agents

1. pm (Product Manager)

When to use:

Creating or updating Product Requirements Documents (PRD)
Breaking down PRDs into Feature Requirements Documents (FRDs)
Defining business requirements, user personas, success metrics
Clarifying stakeholder needs and acceptance criteria

Capabilities:

Creates PRD in specs/prd.md
Creates FRDs in specs/features/*.md
Focuses on WHAT to build, not HOW to build it
Defines success criteria and business goals

Intent keywords: "requirements", "PRD", "feature spec", "business needs", "user story", "acceptance criteria", "product definition"

2. devlead (Developer Lead)

When to use:

Reviewing PRDs/FRDs for technical feasibility
Identifying missing technical requirements
Validating requirement completeness
Ensuring alignment with technical standards

Capabilities:

Reviews and enhances PRDs/FRDs with technical requirements
Validates feasibility against technology stack
Identifies gaps in requirements
Advocates for simplicity-first approach

Read the full file on GitHub · 425 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.

2mo ago First seen · 425 lines · 32 tokens per session scan A 71b3ec8d7089

Subscribe to this mod's changes

orchestrator is an agent published in the GitHub repository EmeaAppGbb/agentic-shell-python (2 stars, last pushed 8mo ago), licensed MIT. It adds 32 tokens to every session and 3,949 once invoked, about $0.0001 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 2026-08-31.

Building agents Project management

orchestrator next to 6 agents from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
orchestratorEmeaAppGbb/agentic-shell-python	Agent	2	8mo ago	MIT	A	32	Claude Code
playwright-test-generatormicrosoft/playwright	Agent	99k	yesterday	Apache-2.0	A	151	Claude Code
.NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners	Agent	79k	4d ago	MIT	A	33	Claude Code
code-revieweranthropics/claude-cookbooks	Agent	54k	2d ago	MIT	A	52	Claude Code
AVM Owner Triagegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	61	Claude Code
Ultimate Transparent Thinking Beast Modegithub/awesome-copilot	Agent	41k	yesterday	MIT	A	11	Claude Code
WinForms Expertgithub/awesome-copilot	Agent	41k	yesterday	MIT	A	19	Claude Code

agentic-shell-python: Agent for Claude Code