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多 Agent 团队协作
作者
MaybeMarvel
· GitHub ↗
· v2.0.0
· MIT-0
267
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install multi-agent-teams
功能描述
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
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install multi-agent-teams - 安装完成后,直接呼叫该 Skill 的名称或使用
/multi-agent-teams触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v2.0.0
支持交互式配置、自定义团队结构、预设模板
元数据
常见问题
多 Agent 团队协作 是什么?
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. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 267 次。
如何安装 多 Agent 团队协作?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-teams」即可一键安装,无需额外配置。
多 Agent 团队协作 是免费的吗?
是的,多 Agent 团队协作 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
多 Agent 团队协作 支持哪些平台?
多 Agent 团队协作 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 多 Agent 团队协作?
由 MaybeMarvel(@maybemarvel)开发并维护,当前版本 v2.0.0。
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