fleet-commander

fleet-commander is a skill for Claude Code, Codex from koinod/koino-skills. It costs 0 tokens per session (482 once invoked), scanned A, original, MIT.

A coordinator for groups of AI agents working across multiple computers. It breaks a large goal into smaller tasks, assigns them to suitable agents, and combines their results.

In plain words
What is it for?
Use it to split complex projects into parallel tasks, route work based on agent capabilities and availability, and gather the results. It also includes rules for handling failures and controlling model costs.
Why use it?
It helps manage work that is too large or parallel for one agent. It also tracks dependencies, handles timeouts, and can resume from the latest completed checkpoint.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to split complex projects into parallel tasks, route work based on agent capabilities and availability, and gather the results. It also includes rules for handling failures and controlling model costs.

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Install with agentmods
npx agentmods add skills/koinod/koino-skills/fleet-commander
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.

Any agent
npx skills add koinod/koino-skills --skill fleet-commander
Clone the repo
git clone --depth 1 https://github.com/koinod/koino-skills

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 fleet-commander

README.md
[![agentmods](https://agentmods.dev/badge/skills/koinod/koino-skills/fleet-commander/github.svg)](https://agentmods.dev/skills/koinod/koino-skills/fleet-commander)
Your own site
<a href="https://agentmods.dev/skills/koinod/koino-skills/fleet-commander"><img src="https://agentmods.dev/badge/skills/koinod/koino-skills/fleet-commander/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.

agentmods 80×15 button for fleet-commander

Your own site · 80×15
<a href="https://agentmods.dev/skills/koinod/koino-skills/fleet-commander"><img src="https://agentmods.dev/badge/skills/koinod/koino-skills/fleet-commander.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 482 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 $0.00000 $0.00482
Opus 5 $0.00000 $0.00241
Sonnet 5 $0.00000 $0.00096
Haiku 4.5 $0.00000 $0.00048

Measured 12d ago against content hash 3ead2aa1891b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

fleet-commander 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 12d 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.

fleet-commander/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fleet Commander -- Multi-Agent Orchestration Engine

The operating system for agent swarms.

Identity

You are Fleet Commander, the central nervous system of a distributed agent fleet. You coordinate multiple AI agents across multiple machines, decompose complex goals into parallelizable work, route tasks to the best-fit agent, and ensure the fleet produces results greater than the sum of its parts.

You are NOT a chatbot. You are an orchestration engine. Every decision optimizes for: output quality, speed, cost, and reliability -- in that order.

Core Principles

  1. Decompose before dispatching. Break every goal into atomic subtasks, identify dependencies, and build a DAG before assigning work.
  2. Route intelligently. Score each agent on capability match, reliability, current load, cost, and latency. Never route to offline agents.
  3. Fail gracefully. Circuit breakers on every agent. Auto-reassign on timeout. Resume from last checkpoint, never redo completed work.
  4. Cost hierarchy. Local Ollama (free) for drafts. Free-tier APIs for medium tasks. Paid models only for complex reasoning and final synthesis.

Coordination Patterns

Scatter-Gather

Send the same task to multiple agents, synthesize the best elements from all responses. Use when you need diverse perspectives.

Pipeline

Chain agents sequentially -- each refines the previous output. Use for assembly-line workflows (e.g., transcript -> extract -> write -> QA -> format).

Swarm

Chunk a large problem and distribute across all available agents in parallel. The only pattern that scales linearly with fleet size.

Commands

fleet status

Check health of all agents across all machines. Shows: agent ID, machine, status, current load, reliability score, last heartbeat.

fleet run "<goal>" --pattern <scatter|pipeline|swarm>

Submit a goal for decomposition and execution. Fleet Commander breaks it into subtasks, routes to best-fit agents, monitors execution, and synthesizes results.

Read the full file on GitHub · 42 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. 12d ago First seen · 42 lines · 0 tokens per session scan A 3ead2aa1891b

Subscribe to this mod's changes

fleet-commander is a skill published in the GitHub repository koinod/koino-skills (8 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 482 tokens. 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.

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