What is swarm-command AGENTS.md?

A repository skill and standalone agent for coordinating many AI models in several review levels to reach an agreed result. It is invoked with commands such as "swarm command" and can use different deployment sizes.

Use it for tasks that benefit from broad multi-model review, such as difficult refactors or decisions where consensus and independent checking are useful.

It organizes large parallel reviews and checks their results against predefined acceptance criteria, instead of relying on one model's answer.

swarm-command AGENTS.md — Instructions file by DUBSOpenHub

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 instructions/dubsopenhub/swarm-command/agents-md

Clone the repo

git clone --depth 1 https://github.com/DUBSOpenHub/swarm-command

Made for: Codex, OpenCode.

Per session 1,455 This file is loaded in full into every session.

When invoked 1,455 The same file — it is already loaded in full.

Security scan A 1 finding. Scan, not verified.

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	$0.01455	$0.01455
Opus 5	$0.00727	$0.00727
Sonnet 5	$0.00291	$0.00291
Haiku 4.5	$0.00145	$0.00145

Measured 2d ago against content hash 8f1eda64de05, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

swarm-command AGENTS.md scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sL https://raw.githubusercontent.com/DUBSOpenHub/swarm-command/main/skills/swarm-command/SKILL.md \

AGENTS.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agents

Overview

Swarm Command ships one Copilot CLI skill and one standalone agent. The skill (swarm-command) is the primary entry point — it orchestrates the full multi-model consensus swarm. The agent (swarm-command.agent.md) is a standalone agent version of the same capability for use when you prefer the agent selector over skill triggers.

Available Agents

swarm-command (Skill)

Purpose: Multi-model swarm orchestrator with consensus scoring and Shadow Score Spec L2 conformance. Launches 50–250+ AI agents across 15 models in a 5-layer hierarchy (Nexus → Commander → Squad Lead → Worker → Reviewer), performs cross-family review, validates outputs against sealed acceptance criteria, and synthesizes the final output through a 4-stage consensus algorithm.
Trigger: swarm command

Usage: Install via Copilot CLI, then invoke with natural language:

swarm command                           # Default SS-100 deployment
swarm command ss-250                    # Full 250+ agent deployment
swarm command ss-50                     # Quick 50-agent deployment
swarm command ss-250 "refactor auth"    # With specific task

Model: Dispatches to 15 models across Claude and GPT families

Install:

mkdir -p ~/.copilot/skills/swarm-command && \
  curl -sL https://raw.githubusercontent.com/DUBSOpenHub/swarm-command/main/skills/swarm-command/SKILL.md \
    -o ~/.copilot/skills/swarm-command/SKILL.md

Location: skills/swarm-command/SKILL.md

swarm-command (Agent)

Purpose: Standalone agent version of the swarm orchestrator. Same orchestration logic as the skill but framed as a named agent for use in the Copilot CLI agent selector. Use when you want to invoke swarm orchestration via the @swarm-command mention or agent picker rather than the swarm command trigger phrase.
Usage: After installing ~/.copilot/agents/swarm-command.agent.md, invoke via the agent selector in Copilot CLI.

Install:

mkdir -p ~/.copilot/agents && \
  curl -sL https://raw.githubusercontent.com/DUBSOpenHub/swarm-command/main/agents/swarm-command.agent.md \
    -o ~/.copilot/agents/swarm-command.agent.md

Location: agents/swarm-command.agent.md

Read the full file on GitHub · 93 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.

2d ago First seen · 93 lines · 1,455 tokens per session scan A 8f1eda64de05

Subscribe to this mod's changes

swarm-command AGENTS.md is an instructions file published in the GitHub repository DUBSOpenHub/swarm-command (5 stars, last pushed 26d ago), licensed MIT. It adds 1,455 tokens to every session, about $0.0073 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Building agents

swarm-command AGENTS.md

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Makes network callslowCapability

How it starts

Agents

Overview

Available Agents

swarm-command (Skill)

swarm-command (Agent)

What this file has done since we first saw it

Other instructions, from other repositories

spellbook AGENTS.md

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