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.
npx skills add koinod/koino-skills --skill fleet-commandergit clone --depth 1 https://github.com/koinod/koino-skillsWrote 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.
[](https://agentmods.dev/skills/koinod/koino-skills/fleet-commander)<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.
<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>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 | $0.00000 | $0.00482 |
| Opus 5 | $0.00000 | $0.00241 |
| Sonnet 5 | $0.00000 | $0.00096 |
| Haiku 4.5 | $0.00000 | $0.00048 |
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.
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
- Decompose before dispatching. Break every goal into atomic subtasks, identify dependencies, and build a DAG before assigning work.
- Route intelligently. Score each agent on capability match, reliability, current load, cost, and latency. Never route to offline agents.
- Fail gracefully. Circuit breakers on every agent. Auto-reassign on timeout. Resume from last checkpoint, never redo completed work.
- 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.
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.
- 12d ago First seen · 42 lines · 0 tokens per session scan A 3ead2aa1891b
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.
Other skills, from other repositories
capabilities
Your capability catalog — read this at boot. Lists the temporal date-range skills and the external integrations (reached via the loopback broker) available to you as a spawned worker, and exactly how to call each. Read-only. Consult it whenever you're unsure what tools/integrations you have or how to invoke them.
temporal
Resolve ANY named time window — today, yesterday, thisWeek, lastWeek, last7Days, last30Days, last90Days, thisMonth, lastMonth, thisQuarter, lastQuarter, thisYear, lastYear, last12Months — or an arbitrary range (lastNdays / lastNweeks / lastNmonths) to a concrete ISO date range relative to your run time. Read-only: no…
last30Days
Resolve "last30Days" to a concrete ISO date range relative to your run time — a rolling 30-day window ending today. Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a "last 30 days" / trailing-month task…
md-audit
Read-only code quality audit — scan the current working directory for common issues (bugs, dead code, security hotspots, missing error handling) and return a prioritised findings report. No files are edited. Use when asked to "audit the code", "quick audit", "find issues", "code scan", or "what's wrong with this…
thisQuarter
Resolve "thisQuarter" to a concrete ISO date range relative to your run time — this quarter so far (quarter start → today). Returns inclusive civil dates plus exact UTC instants so you have temporal context without computing dates by hand. Read-only: no writes, no network. Use before a quarter-to-date task (QTD…
md-hive-sync
Munder Difflin hive sync — runs the start-of-task hive protocol steps: reads memory.md, checks inbox/ for new messages, and reminds you to record durable facts in memory.md and write coordination files before ending. Use when asked to "sync with the hive", "check my inbox", "hive status", or "hive sync". Proactively…