ClawTeam

ClawTeam is a skill for Claude Code, Codex from win4r/ClawTeam-OpenClaw. It costs 200 tokens per session (2,510 once invoked), scanned A, a copy of ClawTeam, MIT.

A command-line framework for coordinating multiple AI coding agents as a team.

In plain words
What is it for?
Use it to create teams, assign tasks, exchange messages, isolate work in Git worktrees, and monitor agent activity.
Why use it?
It provides shared task tracking and communication so agents can divide work and report progress without relying on one conversation.

Skill for Claude CodeCodex

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

Good fit Use it to create teams, assign tasks, exchange messages, isolate work in Git worktrees, and monitor agent activity.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/win4r/clawteam-openclaw/clawteam
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 · 1,449 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 clawteam
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/clawteam.svg)](https://agentmods.dev/skills/win4r/clawteam-openclaw/clawteam)
Your own site
<a href="https://agentmods.dev/skills/win4r/clawteam-openclaw/clawteam"><img src="https://agentmods.dev/badge/skills/win4r/clawteam-openclaw/clawteam.svg" alt="Measured on agentmods" height="20"></a>
Per session 200 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,510 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 100% copy Near-identical to another mod 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 $0.00200 $0.02510
Opus 5 $0.00100 $0.01255
Sonnet 5 $0.00040 $0.00502
Haiku 4.5 $0.00020 $0.00251

Measured 8d ago against content hash 61c7a42ed385, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, 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 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.

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.

Origin

This is a copy

100% identical to ClawTeam — 0 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.

docs/skills/clawteam/SKILL.md · 270 lines

How it starts

The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ClawTeam Multi-Agent Coordination

ClawTeam is a framework-agnostic CLI tool for coordinating multiple AI agents as a team. It provides team/task management, inter-agent messaging, git worktree isolation, provider-aware runtime profiles, git context injection, snapshots, and terminal-based monitoring dashboards.

All operations are performed via the clawteam CLI. Data is stored in ~/.clawteam/ by default.

Installation

Check whether clawteam is already available:

clawteam --version

If the command is missing, install it and continue:

pip install clawteam

Requires Python 3.10+. For P2P transport support: pip install "clawteam[p2p]".

Prerequisites

  • tmux installed (default spawn backend)
  • A CLI coding agent such as claude, codex, gemini, kimi, nanobot, or openclaw
  • A git repository for worktree isolation and context features
  • Default dependencies installed if you want the TUI wizard (clawteam profile wizard)

Core Concepts

Teams — Named groups of agents with one leader and zero or more workers.

Inbox — File-based message queue per agent. receive is destructive; peek is not.

Tasks — Shared task board with pending, in_progress, completed, and blocked. Tasks support dependency chains and priorities.

Profiles — Reusable client/provider/runtime configs used by spawn and launch.

Presets — Shared provider templates used to generate one or more profiles.

Context — Git/worktree-aware context tools for overlap checks, recent changes, and prompt injection.

Board — Team dashboard with kanban tasks, inbox counts, and message history views, plus gource activity visualization.

Quick Start

Set Up a Team with Tasks

export CLAWTEAM_AGENT_ID="leader-001"
export CLAWTEAM_AGENT_NAME="leader"
export CLAWTEAM_AGENT_TYPE="leader"

clawteam team spawn-team my-team -d "Project team" -n leader
clawteam task create my-team "Design system" -o leader
clawteam task create my-team "Implement feature" -o worker1
clawteam task create my-team "Write tests" -o worker2
clawteam board show my-team

Read the full file on GitHub · 270 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 8d ago First seen · 270 lines · 200 tokens per session scan A 61c7a42ed385

Subscribe to this mod's changes

ClawTeam is a skill published in the GitHub repository win4r/ClawTeam-OpenClaw (1,449 stars, last pushed 2mo ago), licensed MIT. It adds 200 tokens to every session and 2,510 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ClawTeam, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

a2a-setup

Install and configure the OpenClaw A2A Gateway plugin for cross-server agent communication. Use when: (1) setting up A2A between two or more OpenClaw instances, (2) user says 'configure A2A', 'set up A2A gateway', 'connect two OpenClaw servers', 'agent-to-agent communication', (3) adding a new A2A peer to an existing…

win4r/openclaw-a2a-gateway · 130 tokens

linear

Manage Linear issues, projects, and teams via the GraphQL API. Create, update, search, and organize issues. Uses API key auth (no OAuth needed). All operations via curl — no dependencies.

moltis-org/moltis · 43 tokens

notion

Notion API for creating and managing pages, databases, and blocks via curl. Search, create, update, and query Notion workspaces directly from the terminal.

moltis-org/moltis · 36 tokens

crm-ops

How to operate the Lobu funnel CRM — create and enrich leads, log interactions, advance funnel stages, open and update pilots, and produce the weekly digest. Use whenever the task touches the pipeline.

lobu-ai/lobu · 44 tokens

pm-brainstorm

A guided brainstorming workflow for exploring a new product idea before detailed research or requirements work. It collects basic information about the product, users, and problem through staged questions.

konglong87/superPM · 123 tokens

pm-priority

A Chinese-language procedure for ranking several product requests when time or resources are limited. It supports scoring or grouping methods such as RICE, KANO, and MoSCoW to decide what should be done first.

konglong87/superPM · 59 tokens