clawteam

clawteam is a skill for Claude Code, Codex from win4r/ClawTeam-OpenClaw. It costs 106 tokens per session (3,024 once invoked), scanned A, original, MIT.

A command-line system for coordinating teams of AI agents working on separate tasks. It can create teams, assign dependent work, run agents in isolated Git worktrees, and track progress.

In plain words
What is it for?
Use it for multi-agent projects such as code reviews, research papers, software builds, or other tasks that can be split into coordinated pieces.
Why use it?
It organizes parallel work while reducing conflicts between agents editing the same codebase.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: mentions Claude Code; mentions Codex; built for openclaw.

Good fit Use it for multi-agent projects such as code reviews, research papers, software…

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Install with agentmods
npx agentmods add skills/win4r/clawteam-openclaw/openclaw
About the project

ClawTeam-OpenClaw coordinates multiple command-line coding agents as a swarm that divides work, communicates, and combines results. Developers use it to orchestrate agents including OpenClaw, Claude Code, Codex, Hermes Agent, nanobot, and Cursor. The catalogue entries provide skills and instructions for working with this coordination system.

win4r/ClawTeam-OpenClaw · 1,448 stars · on GitHub · youtu.be

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 win4r/ClawTeam-OpenClaw --skill openclaw
Clone the repo
git clone --depth 1 https://github.com/win4r/ClawTeam-OpenClaw

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 clawteam

README.md
[![agentmods](https://agentmods.dev/badge/skills/win4r/clawteam-openclaw/openclaw.svg)](https://agentmods.dev/skills/win4r/clawteam-openclaw/openclaw)
Your own site
<a href="https://agentmods.dev/skills/win4r/clawteam-openclaw/openclaw"><img src="https://agentmods.dev/badge/skills/win4r/clawteam-openclaw/openclaw.svg" alt="Measured on agentmods" height="20"></a>
Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,024 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 $0.00106 $0.03024
Opus 5 $0.00053 $0.01512
Sonnet 5 $0.00021 $0.00605
Haiku 4.5 $0.00011 $0.00302

Measured 7d ago against content hash 7dddb7d087fa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

clawteam 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 7d 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.

skills/openclaw/SKILL.md · 274 lines

How it starts

The opening of the file, as written. The whole thing — 274 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ClawTeam — Multi-Agent Swarm Coordination

Overview

ClawTeam is a CLI tool (clawteam) for orchestrating multiple AI agents as self-organizing swarms. It uses git worktree isolation, tmux windows, and filesystem-based messaging. OpenClaw is the default agent backend.

CLI binary: clawteam (installed via pip, available in PATH)

Quick Start

One-Command Template Launch (Recommended)

# Launch a pre-built team from a template
clawteam launch hedge-fund --team fund1
clawteam launch code-review --team review1
clawteam launch research-paper --team paper1

Manual Team Setup

# 1. Create team with leader
clawteam team spawn-team my-team -d "Build a web app" -n leader

# 2. Create tasks with dependencies
clawteam task create my-team "Design API schema" -o architect
# Returns task ID, e.g., abc123

clawteam task create my-team "Implement auth" -o backend --blocked-by abc123
clawteam task create my-team "Build frontend" -o frontend --blocked-by abc123
clawteam task create my-team "Write tests" -o tester

# 3. Spawn agents (each gets its own tmux window + git worktree)
clawteam spawn -t my-team -n architect --task "Design the API schema for a web app"
clawteam spawn -t my-team -n backend --task "Implement OAuth2 authentication"
clawteam spawn -t my-team -n frontend --task "Build React dashboard"

# 4. Monitor
clawteam board show my-team        # Kanban view
clawteam board attach my-team      # Tmux tiled view (all agents side-by-side)
clawteam board serve --port 8080   # Web dashboard

Command Reference

Team Management

Command Description
clawteam team spawn-team <name> -d "<desc>" -n <leader> Create team
clawteam team discover List all teams
clawteam team status <team> Show team members and info
clawteam team cleanup <team> --force Delete team and all data

Task Management

Command Description
clawteam task create <team> "<subject>" -o <owner> [-d "<desc>"] [--blocked-by <id>] Create task
clawteam task list <team> [--owner <name>] List tasks (filterable)
clawteam task update <team> <id> --status <status> Update status
clawteam task get <team> <id> Get single task
clawteam task stats <team> Timing statistics
clawteam task wait <team> Block until all tasks complete

Read the full file on GitHub · 274 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. 7d ago First seen · 274 lines · 106 tokens per session scan A 7dddb7d087fa

Subscribe to this mod's changes

clawteam is a skill published in the GitHub repository win4r/ClawTeam-OpenClaw (1,448 stars, last pushed 2mo ago), licensed MIT. It adds 106 tokens to every session and 3,024 once invoked, about $0.0005 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.

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