swarm_orchestration

A guide for coordinating multiple coding agents as a team, with shared tasks, dependencies, messages, and workspaces. It explains how agents can be assigned short-lived tasks or join a named team.

In plain words
What is it for?
Use it for parallel code reviews, multi-step development pipelines, and task queues where several agents need to communicate and coordinate.
Why use it?
It helps organize parallel work so agents do not duplicate effort or lose track of ownership and task order.

Cursor rule for Cursor

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 rules/homenshum/nodebenchai/swarm_orchestration
Clone the repo
git clone --depth 1 https://github.com/HomenShum/NodeBenchAI

Made for: Cursor.

Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,173 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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.

ModelPer sessionOnce invoked
Fable 5 $0.00037 $0.01173
Opus 5 $0.00018 $0.00587
Sonnet 5 $0.00007 $0.00235
Haiku 4.5 $0.00004 $0.00117

Measured 2d ago against content hash 29395de901bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

swarm_orchestration 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 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.

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.

.cursor/rules/swarm_orchestration.mdc · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claude Code Swarm Orchestration

Master multi-agent orchestration using Claude Code's TeammateTool and Task system.


Primitives

Primitive What It Is File Location
Agent A Claude instance that can use tools. You are an agent. Subagents are agents you spawn. N/A (process)
Team A named group of agents working together. One leader, multiple teammates. ~/.claude/teams/{name}/config.json
Teammate An agent that joined a team. Has a name, color, inbox. Spawned via Task with team_name + name. Listed in team config
Leader The agent that created the team. Receives teammate messages, approves plans/shutdowns. First member in config
Task A work item with subject, description, status, owner, and dependencies. ~/.claude/tasks/{team}/N.json
Inbox JSON file where an agent receives messages from teammates. ~/.claude/teams/{name}/inboxes/{agent}.json
Backend How teammates run. Auto-detected: in-process (invisible), tmux (visible panes), iterm2 (split panes). Auto-detected

Two Ways to Spawn Agents

Method 1: Task Tool (Subagents) — short-lived, returns result

Task({ subagent_type: "Explore", description: "Find auth files", prompt: "...", model: "haiku" })

Method 2: Task + team_name + name (Teammates) — persistent, communicates via inbox

Teammate({ operation: "spawnTeam", team_name: "my-project" })
Task({ team_name: "my-project", name: "security-reviewer", subagent_type: "general-purpose", prompt: "...", run_in_background: true })
Aspect Task (subagent) Task + team_name + name (teammate)
Lifespan Until task complete Until shutdown requested
Communication Return value Inbox messages
Task access None Shared task list

Read the full file on GitHub · 116 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. 2d ago First seen · 116 lines · 37 tokens per session scan A 29395de901bd

Subscribe to this mod's changes

swarm_orchestration is a cursor rule published in the GitHub repository HomenShum/NodeBenchAI (14 stars, last pushed 19d ago), licensed MIT. It adds 37 tokens to every session and 1,173 once invoked, about $0.0002 per session on Opus 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 2026-08-30.