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victory2694

Multi-Agent Manager

作者 victory2694 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
239
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0
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当前安装
1
版本数
在 OpenClaw 中安装
/install multi-agent-manager
功能描述
Monitor and visualize multiple agents across projects in real-time with JSON output for debugging and performance tracking.
使用说明 (SKILL.md)

Continuous Monitoring

Watch agent status in real-time:

python3 {baseDir}/scripts/monitor.py --watch --interval 5

JSON Output

Get machine-readable output:

python3 {baseDir}/scripts/visualize.py --format json

Example JSON:

{
  "agents": [
    {
      "id": "main",
      "model": "anthropic/claude-sonnet-4-6",
      "workspace": "/Users/user/.openclaw/workspace",
      "sessions": 0
    }
  ],
  "total": 2
}

📖 Use Cases

1. Debugging Agent Issues

When an agent isn't responding:

# Check if agent is running
python3 {baseDir}/scripts/monitor.py

# View agent details
python3 {baseDir}/scripts/visualize.py

2. Managing Multiple Projects

Track agents across different projects:

# See all agents and their workspaces
python3 {baseDir}/scripts/visualize.py

3. Optimizing Agent Performance

Monitor which agents are most active:

# Watch real-time activity
python3 {baseDir}/scripts/monitor.py --watch

🎯 Common Scenarios

Scenario: "Which agents do I have?"

python3 {baseDir}/scripts/visualize.py

Scenario: "Is my agent still running?"

python3 {baseDir}/scripts/monitor.py

Scenario: "What's my agent doing right now?"

python3 {baseDir}/scripts/monitor.py --watch

💡 Tips

  • Use --format json for integration with other tools
  • Run monitor.py --watch in a separate terminal for continuous monitoring
  • Check agent status before sending important tasks

🐛 Troubleshooting

Problem: "No agents found"

  • Make sure OpenClaw Gateway is running: openclaw status
  • Check your agent configuration

Problem: "Script not found"

  • Ensure you're running from the correct directory
  • Check that Python 3 is installed: python3 --version

📝 Changelog

v1.0.0 (2026-03-14)

  • Initial release
  • Agent visualization
  • Status monitoring
  • Basic communication tools
  • Task flow tracking

🤝 Contributing

Found a bug or have a feature request?

  • Open an issue on GitHub
  • Join the OpenClaw Discord community

📄 License

MIT License - feel free to use and modify!

安全使用建议
This skill appears to be what it says: a set of small Python scripts that call the local 'openclaw' CLI to list agents, sessions, and statuses and to send messages between agents. Before installing, confirm you trust the 'openclaw' CLI on your system (it is the component that actually has access to agent state and any credentials). Be aware the scripts will print workspace paths and session data to stdout, so avoid running them in environments where that output could leak sensitive information. If you do not want autonomous invocation, disable model invocation for the skill in your agent settings. Review communicate.py before use, since it will send messages via the CLI to agents and could cause actions in your agent network.
功能分析
Type: OpenClaw Skill Name: multi-agent-manager Version: 1.0.0 The skill bundle is a management and monitoring utility for OpenClaw agents. It provides Python scripts (monitor.py, visualize.py, communicate.py, track-flow.py) that wrap legitimate 'openclaw' CLI commands to retrieve agent status, list sessions, and facilitate inter-agent communication. The scripts use subprocess.run with argument lists, avoiding shell injection risks, and show no signs of data exfiltration, persistence, or malicious intent.
能力评估
Purpose & Capability
Name/description claim monitoring and visualization of agents; scripts call the 'openclaw' CLI to list agents, sessions, status, send messages, and format JSON — this is coherent with the stated purpose. No unrelated env vars or binaries are requested.
Instruction Scope
SKILL.md instructs running the included Python scripts (monitor.py, visualize.py, track-flow.py, communicate.py). Those scripts only invoke the 'openclaw' CLI and print/format its JSON output. There is no instruction to read arbitrary system files, exfiltrate data, or call external endpoints beyond the OpenClaw CLI.
Install Mechanism
No install spec is provided (instruction-only), which is low risk. The package does include Python scripts (will be executed from the skill directory). Nothing is downloaded or extracted at install time. Note: ensure the scripts are executed from a trusted location.
Credentials
The skill does not declare or require any environment variables or secrets. It relies on the local 'openclaw' CLI; any credentials/access needed are those used by that CLI, not requested explicitly by the skill.
Persistence & Privilege
always is false and the skill is user-invocable. disable-model-invocation is false (normal default). The skill does not modify other skills or system-wide configs.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install multi-agent-manager
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /multi-agent-manager 触发
  4. 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
v1.0.0
Initial release: visualize agents, monitor status, track tasks, coordinate communication
元数据
Slug multi-agent-manager
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Multi-Agent Manager 是什么?

Monitor and visualize multiple agents across projects in real-time with JSON output for debugging and performance tracking. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 239 次。

如何安装 Multi-Agent Manager?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install multi-agent-manager」即可一键安装,无需额外配置。

Multi-Agent Manager 是免费的吗?

是的,Multi-Agent Manager 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Multi-Agent Manager 支持哪些平台?

Multi-Agent Manager 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 Multi-Agent Manager?

由 victory2694(@victory2694)开发并维护,当前版本 v1.0.0。

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