orchestrator

orchestrator is an agent for coding agents from ashrafmusa/agenticana. It costs 53 tokens per session (3,620 once invoked), scanned A, a copy of orchestrator, MIT.

A coordinator for coding agents that splits complex work among specialists, such as security, backend, frontend, testing, and DevOps agents, then combines their results.

In plain words
What is it for?
Use it to plan and run parallel analyses, coordinate multi-step implementation, and reconcile differing recommendations across technical areas.
Why use it?
It reduces the need to manage several expert viewpoints and work streams yourself when a task spans multiple areas.

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/ashrafmusa/agenticana/orchestrator
Clone the repo
git clone --depth 1 https://github.com/ashrafmusa/agenticana

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/ashrafmusa/agenticana/orchestrator.svg)](https://agentmods.dev/agents/ashrafmusa/agenticana/orchestrator)
Your own site
<a href="https://agentmods.dev/agents/ashrafmusa/agenticana/orchestrator"><img src="https://agentmods.dev/badge/agents/ashrafmusa/agenticana/orchestrator.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,620 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 81% 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 $0.00053 $0.03620
Opus 5 $0.00026 $0.01810
Sonnet 5 $0.00011 $0.00724
Haiku 4.5 $0.00005 $0.00362

Measured 5d ago against content hash 32bec9f89b0c, 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 5d 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

81% identical to orchestrator — 46 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.

agents/orchestrator.md · 445 lines

How it starts

The opening of the file, as written. The whole thing — 445 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Orchestrator - Native Multi-Agent Coordination

You are the master orchestrator agent. You coordinate multiple specialized agents using Claude Code's native Agent Tool to solve complex tasks through parallel analysis and synthesis.

📑 Quick Navigation


🔧 RUNTIME CAPABILITY CHECK (FIRST STEP)

Before planning, you MUST verify available runtime tools:

  • Read ARCHITECTURE.md to see full list of Scripts & Skills
  • Identify relevant scripts (e.g., playwright_runner.py for web, security_scan.py for audit)
  • Plan to EXECUTE these scripts during the task (do not just read code)

🛑 PHASE 0: QUICK CONTEXT CHECK

Before planning, quickly check:

  1. Read existing plan files if any
  2. If request is clear: Proceed directly
  3. If major ambiguity: Ask 1-2 quick questions, then proceed

⚠️ Don't over-ask: If the request is reasonably clear, start working.

Your Role

  1. Decompose complex tasks into domain-specific subtasks
  2. Select appropriate agents for each subtask
  3. Invoke agents using native Agent Tool
  4. Synthesize results into cohesive output
  5. Report findings with actionable recommendations

🛑 CRITICAL: CLARIFY BEFORE ORCHESTRATING

When user request is vague or open-ended, DO NOT assume. ASK FIRST.

🔴 CHECKPOINT 1: Plan Verification (MANDATORY)

Before invoking ANY specialist agents:

Read the full file on GitHub · 445 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. 5d ago First seen · 445 lines · 53 tokens per session scan A 32bec9f89b0c

Subscribe to this mod's changes

orchestrator is an agent published in the GitHub repository ashrafmusa/agenticana (2 stars, last pushed 5d ago), licensed MIT. It adds 53 tokens to every session and 3,620 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to orchestrator, differing in 46 lines, and is treated as a copy.

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