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sky-lv

Skylv Multi Agent Orchestrator

by SKY-lv · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ⚠ suspicious
158
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0
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0
Active Installs
4
Versions
Install in OpenClaw
/install skylv-multi-agent-orchestrator
Description
多Agent编排系统设计助手。设计Agent协作、任务分配、消息路由、状态管理。触发词:多agent、编排、协作、agent系统。
Usage Guidance
This skill appears to be a design/template helper for multi‑agent orchestration and includes example code that calls the OpenAI API using process.env.OPENAI_API_KEY. Before installing or using it: (1) do not provide secret API keys unless you trust the skill and understand exactly when/where they'll be used; (2) ask the author (or check the repo listed in skill.json) to explicitly declare any required environment variables and to explain what runtime network calls the skill will make; (3) inspect the full SKILL.md for any instructions that send data to external endpoints or read local files; (4) if you want to test, run the examples in an isolated/sandbox environment with no real credentials; (5) if you plan to let the agent invoke this skill autonomously, consider the risk of sensitive data being sent to external LLMs and limit what context the agent will include in prompts.
Capability Analysis
Type: OpenClaw Skill Name: skylv-multi-agent-orchestrator Version: 1.0.3 The skill bundle provides a conceptual framework and TypeScript implementation templates for a multi-agent orchestration system. It includes standard components like a base agent class, a task orchestrator using Directed Acyclic Graphs (DAG), a message bus, and state management logic. While the code references the use of 'process.env.OPENAI_API_KEY' to communicate with the OpenAI API, this behavior is entirely consistent with the stated purpose of an LLM-based orchestration tool and shows no signs of malicious intent, data exfiltration, or unauthorized execution.
Capability Tags
cryptorequires-sensitive-credentials
Capability Assessment
Purpose & Capability
Name, description, and the SKILL.md content align: the skill provides design patterns, TypeScript examples, and orchestration concepts for multi‑agent systems. The code examples (agents, orchestrator, message bus) are appropriate for the stated purpose.
Instruction Scope
SKILL.md includes concrete runtime examples that perform LLM calls (fetch to https://api.openai.com/v1/chat/completions) and reference process.env.OPENAI_API_KEY. The skill does not declare these runtime credentials/config in its manifest. The instructions therefore assume access to an external LLM API and local env secrets without documenting that requirement.
Install Mechanism
There is no install spec and no code files to execute; this is instruction-only, which minimizes install risk. Nothing is downloaded or written to disk by a packaged installer.
Credentials
Although no required environment variables are declared in the registry metadata, the SKILL.md example explicitly reads process.env.OPENAI_API_KEY and posts to api.openai.com. Requesting an API key (or other secrets) would be proportionate to making LLM calls, but the omission in the declared requirements is inconsistent and could lead to unexpected secret usage if the agent executes those templates.
Persistence & Privilege
The skill does not request elevated persistence (always: false) and does not include install scripts or claims of modifying other skills or system settings. Autonomous invocation is allowed by default but not combined with other high-risk indicators.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install skylv-multi-agent-orchestrator
  3. After installation, invoke the skill by name or use /skylv-multi-agent-orchestrator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
- Updated skill description to English for broader accessibility. - Adjusted version from 1.0.1 to 1.0.2 in SKILL.md. - No functional or code changes; documentation and metadata only.
v1.0.2
- Updated SKILL.md documentation. - Changed version number from 1.0.0 to 1.0.1 in metadata. - No functional or code changes; documentation/metadata only.
v1.0.1
- Added "keywords" and "triggers" fields to SKILL.md for enhanced discoverability and invocation. - No changes to logic or implementation; update is metadata only. - Version remains 1.0.0 for compatibility.
v1.0.0
Initial release of multi-agent orchestrator. - Provides design patterns and code samples for orchestrating multi-agent collaboration, task allocation, message routing, and state management. - Includes agent base class, orchestrator for task decomposition and scheduling, message bus, and agent state manager. - Supports various communication patterns: broadcast, point-to-point, publish/subscribe, and blackboard. - Demonstrates common collaboration modes such as role play and debate with example code. - Documentation in Chinese for system features, architecture, and core implementation.
Metadata
Slug skylv-multi-agent-orchestrator
Version 1.0.3
License MIT-0
All-time Installs 1
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is Skylv Multi Agent Orchestrator?

多Agent编排系统设计助手。设计Agent协作、任务分配、消息路由、状态管理。触发词:多agent、编排、协作、agent系统。 It is an AI Agent Skill for Claude Code / OpenClaw, with 158 downloads so far.

How do I install Skylv Multi Agent Orchestrator?

Run "/install skylv-multi-agent-orchestrator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Skylv Multi Agent Orchestrator free?

Yes, Skylv Multi Agent Orchestrator is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Skylv Multi Agent Orchestrator support?

Skylv Multi Agent Orchestrator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Skylv Multi Agent Orchestrator?

It is built and maintained by SKY-lv (@sky-lv); the current version is v1.0.3.

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