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Agency Orchestrator
作者
gonghaiquan
· GitHub ↗
· v1.0.0
· MIT-0
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在 OpenClaw 中安装
/install agency-orchestrator
功能描述
多 Agent 协作调度系统 - 自动分析任务、选择最佳 Agent、协调多 Agent 协作完成复杂任务
使用说明 (SKILL.md)
Agency Orchestrator - 多 Agent 协作调度系统
功能
- 🧠 智能任务分析 - 自动分析任务需求,识别所需技能
- 🤖 Agent 自动选择 - 从 166+ 个 Agent 中选择最佳组合
- 🤝 协作协调 - 管理多 Agent 通信和任务交接
- 📚 持续学习 - 从每次交互中学习,优化 Agent 表现
使用方式
基础使用
from agency_orchestrator import AgentOrchestrator
orchestrator = AgentOrchestrator()
result = orchestrator.coordinate("帮我设计一个产品官网")
在 ClawX 中使用
qwen -p "使用 agency-orchestrator 完成以下任务:设计电商网站"
可用 Agent 分类
- design (8 个) - UI/UX 设计
- engineering (24 个) - 软件开发
- marketing (31 个) - 营销策略
- sales (8 个) - 销售支持
- product (5 个) - 产品管理
- testing (8 个) - 质量保证
- ... 25+ 分类
配置
配置文件:~/.openclaw/agency-agents-zh/config/settings.json
日志
- 调度日志:
~/.openclaw/agency-agents-zh/logs/orchestrator_log.json - 学习日志:
~/.openclaw/agency-agents-zh/logs/learning_log.json - 协作日志:
~/.openclaw/agency-agents-zh/logs/collaboration_log.json
安全使用建议
This package generally implements an agent-orchestration feature that matches its description, but there are two things you should check before installing or running anything: (1) open collaborative_mode.py — it inserts hardcoded absolute paths (/Users/ghq/...) and imports an external collaborative_agents module. If those paths exist on your machine they could cause arbitrary code execution when that module is imported; if they don't exist the import will fail. Consider removing or sandboxing this file or at least removing the hardcoded sys.path inserts. (2) inspect integrate_with_clawx.sh before running: it will edit your ~/.bash_profile (adding AGENCY_DIR and PATH entries) and write to ~/.openclaw/openclaw.json to enable the skill. Back up those files first, and run the script only after reviewing/modifying it to match your environment. Also manually inspect any agent .md files placed under ~/.openclaw/agency-agents-zh for unexpected content. If you want higher assurance, run the skill in a disposable account/container or ask the author for clarification about collaborative_mode.py and why it needs to import from /Users/ghq.
功能分析
Type: OpenClaw Skill
Name: agency-orchestrator
Version: 1.0.0
The skill bundle contains hardcoded absolute paths to a specific user's home directory (/Users/ghq/) in collaborative_mode.py, which are used to import external Python modules not included in the package. Additionally, the integrate_with_clawx.sh script modifies the user's ~/.bash_profile to alter the PATH and add command aliases, which is a sensitive persistence-like action. The system's reliance on a large collection of external 'Agents' and modules located in unverified local directories makes the full execution logic opaque and potentially unsafe.
能力评估
Purpose & Capability
The name/description (multi-agent orchestrator) aligns with the provided Python modules: scanning ~/.openclaw/agency-agents-zh for agent .md files, analyzing tasks by keywords, selecting agents, and logging interactions. However, some included files (collaborative_mode.py) reference external modules and absolute user-specific paths that are not explained by the skill's description.
Instruction Scope
SKILL.md and README consistently reference config and log files under ~/.openclaw/agency-agents-zh which matches the code. But the repository contains a module (collaborative_mode.py) that inserts hardcoded absolute paths (/Users/ghq/...) into sys.path and imports CollaborativeAgentSystem from an external module — this causes the skill to reach into arbitrary user directories and execute code outside the skill bundle if that file is run/imported. The provided integrate_with_clawx.sh script also edits your ~/.bash_profile and openclaw.json to enable the skill, which is a persistent, privileged operation not described in a way that highlights risk.
Install Mechanism
There is no automatic install spec; the skill is instruction/code-only. No remote downloads or archive extraction are performed by the package itself. The only installation helper is an included shell script (integrate_with_clawx.sh) that edits local config files and shell profile — it must be run manually.
Credentials
The skill declares no required environment variables or credentials and the code does not attempt to read secrets. The integrate script adds an AGENCY_DIR environment variable to ~/.bash_profile and adds that directory to PATH, which is reasonable for convenience but unnecessary for core functionality and increases persistence surface.
Persistence & Privilege
always is false and the skill does not demand autonomous invocation privileges. The integrate_with_clawx.sh script will (if run) modify your ~/.bash_profile and enable the skill in ~/.openclaw/openclaw.json, creating persistent changes and adding the agency directory to PATH; this is a significant local change and should be reviewed before execution.
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 agency-orchestrator - 安装完成后,直接呼叫该 Skill 的名称或使用
/agency-orchestrator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
v1.0.0
Initial release of agency-orchestrator: a multi-agent collaboration and orchestration system.
- Automatically analyzes tasks and identifies required skills
- Selects the optimal combination from over 166 available agents
- Coordinates communication and task handoff among agents
- Continuously learns from interactions to improve agent performance
- Supports various agent categories such as design, engineering, marketing, and more
- Provides configuration and logging for orchestration, learning, and collaboration activities
元数据
常见问题
Agency Orchestrator 是什么?
多 Agent 协作调度系统 - 自动分析任务、选择最佳 Agent、协调多 Agent 协作完成复杂任务. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 97 次。
如何安装 Agency Orchestrator?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install agency-orchestrator」即可一键安装,无需额外配置。
Agency Orchestrator 是免费的吗?
是的,Agency Orchestrator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Agency Orchestrator 支持哪些平台?
Agency 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 Agency Orchestrator?
由 gonghaiquan(@gonghaiquan)开发并维护,当前版本 v1.0.0。
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