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Swarm Orchestrator

作者 Justin Liu · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
290
总下载
0
收藏
2
当前安装
1
版本数
在 OpenClaw 中安装
/install swarm-orchestrator
功能描述
AI Agent cluster orchestration platform - manage, schedule, and coordinate multiple AI agents locally with FastAPI backend and React dashboard
安全使用建议
This skill appears coherent for running a local multi-agent orchestrator. Before installing or running it: 1) Inspect the GitHub repository (https://github.com/ZhenRobotics/openclaw-swarm-orchestrator) and verify the referenced commit hash matches what you expect; 2) Review docker-compose.yml and any container images before doing docker-compose up; 3) If you prefer stronger isolation, run services in Docker rather than installing npm packages globally; 4) Only add OPENAI/ANTHROPIC API keys if you need LLM agents and store .env securely (don’t commit it); 5) Be cautious when running npm install -g or executing code from the repo—these operations execute third‑party code on your machine. Finally, note the registry metadata displayed a parsing glitch for env vars ([object Object]); rely on the SKILL.md/readme contents for the canonical configuration.
功能分析
Type: OpenClaw Skill Name: swarm-orchestrator Version: 1.0.0 The bundle describes a high-privilege AI orchestration platform that requires extensive system access, including global package installation (npm install -g), local database management, and the execution of local scripts via 'Tool Agents'. While the documentation is transparent and emphasizes a 'local-first' privacy model, the skill essentially acts as an installer for external code from GitHub (ZhenRobotics/openclaw-swarm-orchestrator) and npm, which introduces significant supply-chain risk. No evidence of intentional malice or data exfiltration was found, but the broad shell/network capabilities and the future-dated timestamp (2026) in _meta.json justify a suspicious classification.
能力评估
Purpose & Capability
Name/description (local orchestration of AI agents) aligns with the declared tools (python, node, redis, optional docker), configuration (SQLite, Redis), and optional LLM API keys (OpenAI/Anthropic). The listed npm package and GitHub repo also match the stated purpose.
Instruction Scope
SKILL.md is instruction-only and focuses on installing and running a FastAPI backend + React frontend locally. It instructs cloning a GitHub repo, checking docker-compose.yml, and optionally supplying LLM API keys only when using LLM agents. It does not direct the agent to read arbitrary host files or exfiltrate data, but it does instruct downloading and running third-party code (git clone / npm install), so you should inspect that code before execution.
Install Mechanism
No automated install spec is embedded in the registry (instruction-only). The instructions recommend cloning a GitHub repo, running docker-compose, or installing an npm package (npm install -g openclaw-swarm-orchestrator). Those are common for this type of project, but pulling and running code from external sources always carries risk—verify the repository URL and commit hash before running, and prefer Docker containers if you want stronger isolation.
Credentials
Environment variables declared in SKILL.md are appropriate and marked optional: DATABASE_URL, REDIS_URL, SECRET_KEY (sensitive), and optional OPENAI_API_KEY / ANTHROPIC_API_KEY for LLM usage. Nothing requests unrelated credentials or excessive secrets. Note: registry metadata earlier showed a serialization issue ('[object Object]') when listing required env vars, but SKILL.md contains a clear, reasonable env list.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request permanent elevated privileges or modifications to other skills. It will create local files (./data, ~/.swarm-orchestrator, ./logs) as expected for a local service.
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 swarm-orchestrator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /swarm-orchestrator 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 of Swarm Orchestrator. - Enables local orchestration of multiple AI agents with FastAPI backend and React dashboard. - No external servers required; all data processed and stored locally (except optional LLM API use). - Supports agent registry, task queue, real-time dashboard, and REST API control. - Requires Python 3.11+, Node.js 18+, Redis 6+; Docker support available for easy deployment. - API keys for LLM providers (OpenAI, Anthropic) are optional and user-controlled.
元数据
Slug swarm-orchestrator
版本 1.0.0
许可证 MIT-0
累计安装 2
当前安装数 2
历史版本数 1
常见问题

Swarm Orchestrator 是什么?

AI Agent cluster orchestration platform - manage, schedule, and coordinate multiple AI agents locally with FastAPI backend and React dashboard. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 290 次。

如何安装 Swarm Orchestrator?

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

Swarm Orchestrator 是免费的吗?

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

Swarm Orchestrator 支持哪些平台?

Swarm Orchestrator 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 Swarm Orchestrator?

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

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