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多 Agent 团队协作
by
MaybeMarvel
· GitHub ↗
· v2.0.0
· MIT-0
267
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1
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0
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1
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Install in OpenClaw
/install multi-agent-teams
Description
交互式部署多 Agent 团队协作架构,支持自定义团队结构、预设模板和混合模式
Usage Guidance
This skill mostly does what it says (create team dirs and generate agent config), but review and consider the following before installing or running it:
- The deploy/verify scripts assume /root/.openclaw (hardcoded). If you run as a non-root user the script may fail; running as root will operate on global OpenClaw data. Make sure you understand and consent to writes under /root/.openclaw.
- The scripts copy auth-profiles.json and models.json from the main agent into every created agent directory. Inspect /root/.openclaw/agents/main/agent/auth-profiles.json first — it may contain provider credentials or tokens you do not want duplicated. Consider removing secrets or sanitizing that file before running.
- The skill metadata only lists 'bash' as required, but the scripts use python3 and the 'openclaw' CLI. Ensure python3 and openclaw are present and correct, or the script will error. The metadata should be corrected to declare these dependencies.
- There are minor bugs/inconsistencies in deploy.sh (array assignment syntax, reliance on undeclared variables) that could cause unexpected behavior; review the script locally and test in a safe/non-production environment first.
- Because the script writes persistent config and directory structures and grants tools (the generated snippet includes 'browser' and sessions tools), prefer running this in a staging environment and backing up openclaw.json (the script already attempts a backup). Do not run blindly on production without auditing auth-profiles.json and confirming intended models/tools.
If you want to proceed: (1) inspect auth-profiles.json and models.json, (2) run the deploy script in a sandbox or test instance, (3) correct the declared required binaries to include python3 and openclaw, and (4) consider modifying the script to avoid duplicating credentials or to prompt before copying auth files.
Capability Analysis
Type: OpenClaw Skill
Name: multi-agent-teams
Version: 2.0.0
The skill bundle provides a legitimate utility for interactively configuring and deploying multi-agent team structures within the OpenClaw environment. The primary logic in `scripts/deploy.sh` and `scripts/verify.sh` automates the creation of directory structures and the generation of configuration snippets for `openclaw.json`. While the deployment script copies authentication profiles (`auth-profiles.json`) to sub-agent directories, this is a functional requirement for the multi-agent architecture and remains confined to the local `/root/.openclaw` directory. No evidence of data exfiltration, malicious execution, or prompt injection was found.
Capability Assessment
Purpose & Capability
The files and scripts match the described purpose (interactive creation of multi‑agent teams, generation of configuration snippets, directory creation). However the declared requirements list only 'bash' while the scripts invoke python3 and the 'openclaw' CLI; that mismatch is inconsistent. Also the scripts operate on /root/.openclaw (hardcoded) which is more privileged than the SKILL.md's suggested user-level install path (~/.openclaw).
Instruction Scope
The deploy script will read and copy files from /root/.openclaw/agents/main/agent/auth-profiles.json and models.json into every created agent directory. Copying authentication profiles is a sensitive action (it duplicates whatever credentials/config are stored in the main agent). The scripts also require invoking openclaw CLI commands and writing into the global OpenClaw directories; these side-effects go beyond merely generating templates.
Install Mechanism
There is no external install/download step (instruction-only plus local scripts), so there is no remote code fetch. That's lower install risk. The included scripts are the only executable content.
Credentials
The skill declares no environment variables, but it reads and copies local configuration files that likely contain credentials (auth-profiles.json). It does not request these explicitly, yet will duplicate them into many subagent directories if present. Also the metadata omits required binaries: python3 and openclaw are used but not declared.
Persistence & Privilege
The scripts create and modify system/global OpenClaw state under /root/.openclaw (agents, backups, generated snippets). This requires filesystem privileges and will increase the attack surface by proliferating auth files. 'always' is false and the skill doesn't auto-enable itself, but the actions are persistent and system‑wide if run.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-agent-teams - After installation, invoke the skill by name or use
/multi-agent-teams - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
支持交互式配置、自定义团队结构、预设模板
Metadata
Frequently Asked Questions
What is 多 Agent 团队协作?
交互式部署多 Agent 团队协作架构,支持自定义团队结构、预设模板和混合模式. It is an AI Agent Skill for Claude Code / OpenClaw, with 267 downloads so far.
How do I install 多 Agent 团队协作?
Run "/install multi-agent-teams" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 多 Agent 团队协作 free?
Yes, 多 Agent 团队协作 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 多 Agent 团队协作 support?
多 Agent 团队协作 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 多 Agent 团队协作?
It is built and maintained by MaybeMarvel (@maybemarvel); the current version is v2.0.0.
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