Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/szoloth/skill-pack/orchestrating-swarms)<a href="https://agentmods.dev/skills/szoloth/skill-pack/orchestrating-swarms"><img src="https://agentmods.dev/badge/skills/szoloth/skill-pack/orchestrating-swarms.svg" alt="Measured on agentmods" 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 | $0.00059 | $0.12400 |
| Opus 5 | $0.00030 | $0.06200 |
| Sonnet 5 | $0.00012 | $0.02480 |
| Haiku 4.5 | $0.00006 | $0.01240 |
Grade B, and why
orchestrating-swarms scanned grade B 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 8d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
// cat ~/.claude/teams/code-review/inboxes/team-lead.json This is a copy
95% identical to orchestrating-swarms — 3 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.
How it starts
The opening of the file, as written. The whole thing — 1,718 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 |
| Message | A JSON object sent between agents. Can be text or structured (shutdown_request, idle_notification, etc). | Stored in inbox files |
| Backend | How teammates run. Auto-detected: in-process (same Node.js, invisible), tmux (separate panes, visible), iterm2 (split panes in iTerm2). See Spawn Backends. |
Auto-detected based on environment |
How They Connect
flowchart TB
subgraph TEAM[TEAM]
Leader[Leader - you]
T1[Teammate 1]
T2[Teammate 2]
Leader <-->|messages via inbox| T1
Leader <-->|messages via inbox| T2
T1 <-.->|can message| T2
end
subgraph TASKS[TASK LIST]
Task1["#1 completed: Research<br/>owner: teammate1"]
Task2["#2 in_progress: Implement<br/>owner: teammate2"]
Task3["#3 pending: Test<br/>blocked by #2"]
end
T1 --> Task1
T2 --> Task2
Task2 -.->|unblocks| Task3
Lifecycle
flowchart LR
A[1. Create Team] --> B[2. Create Tasks]
B --> C[3. Spawn Teammates]
C --> D[4. Work]
D --> E[5. Coordinate]
E --> F[6. Shutdown]
F --> G[7. Cleanup]
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.
- 8d ago First seen · 1,718 lines · 59 tokens per session scan B f2fab6216819
orchestrating-swarms is a skill published in the GitHub repository SZoloth/skill-pack (14 stars, last pushed 5mo ago), licensed MIT. It adds 59 tokens to every session and 12,400 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). It is 95% identical to orchestrating-swarms, differing in 3 lines, and is treated as a copy.
Other skills, from other repositories
claudeshrink
Automatically compress large natural text or log files before processing. Trigger when the user pastes massive text blobs, or asks to analyze a large file (logs, docs, transcripts), or provides a prompt that is too large for the context window. DO NOT trigger on source code files or structural data (JSON, XML).
self-improve
Extract lessons from the current session, or sweep the project's past sessions when asked, and route them to the appropriate knowledge layer (project AGENTS.md, auto memory, existing skills, or new skills). Use when the user asks to "self-improve", "distill this session", "distill past sessions", "sweep past…
smoke-test
Launch the app and hands-on verify that it works by interacting with it. Falls back to an existing integration test suite when there is no interactive surface in scope. Use when the user asks to "smoke test", "test it manually", "verify it works", "try it out", "run a smoke test", "check it in the browser", or "does…
consult-codex
Multi-turn consultation with Codex CLI for second opinions, brainstorming, or collaborative problem-solving. Use when the user asks to "consult codex", "ask codex", "get codex's opinion", "brainstorm with codex", "discuss with codex", or "chat with codex".
draft-plan
Produce an implementation plan at .turbo/plans/ .md. Use when the user asks to "draft a plan", "draft the plan", "write an implementation plan", "plan this change", "create an implementation plan", or needs a first-draft plan file before refinement.
resolve-pr-comments
Evaluate, fix, answer, and reply to GitHub pull request review comments and conversation comments. Handles both change requests (fix or skip) and reviewer questions (explain using reasoning recalled from past Claude Code transcripts). Use when the user asks to "resolve PR comments", "fix review comments", "address PR…