Agent Orchestrator for OpenClaw — Review, Trust Score & Install Guide

Short answer: Agent Orchestrator is a verified OpenClaw skill for ai & llms. Trust Score 96/100 based on source transparency, permission scope, install safety, update recency, community signal, and documentation quality.

Trust Score: 96/100

Security tier: Verified
Risk level: Low
Last reviewed: 2026-02-21
Reviewer: OpenClaw Skills Hub editorial team
Version: 1.5.0
Author: openclaw-core
Install command: npx clawhub@latest install agent-orchestrator

How we calculate Trust Scores →

What Agent Orchestrator does

Agent Orchestrator is the conductor of your AI workforce. Define specialist agents with specific roles (researcher, writer, coder, reviewer), assign tasks, manage handoffs between agents, and coordinate parallel workstreams. It handles conflict resolution, resource allocation, and ensures agents stay on-task with built-in guardrails.

How to install Agent Orchestrator

Install the OpenClaw CLI: npm install -g clawhub@latest
Install this skill: npx clawhub@latest install agent-orchestrator
Verify the install: openclaw skills list

Security review

This skill is currently classified as Verified with a low risk profile. Our reviewers inspected the SKILL.md manifest, dependency tree, declared permissions, network calls, and shell commands before publishing this score. See our editorial policy and Trust Score methodology for the full rubric.

Best for

Coordinate research + writing + review pipelines
Build multi-agent customer support systems
Run parallel analysis with specialist agents
Create self-improving workflows with feedback loops

Avoid if

You need a fully air-gapped install with no network calls.
Your environment forbids skills with third-party dependencies.
You require a formally audited SBOM that this version does not yet provide.

Alternatives & related skills

GPT Prompt Chainer — Chain multiple GPT prompts together with context passing for complex multi-step AI workflows.
LLM Router — Automatically route prompts to the best model based on task complexity, cost, and latency requirements.
RAG Pipeline — Build production-ready Retrieval-Augmented Generation pipelines with document ingestion, chunking, and retrieval.

Frequently asked questions

How many agents can run simultaneously?

Up to 10 agents can run in parallel, with configurable concurrency limits to manage costs.

Can agents use different models?

Yes — each agent can use a different model. Use GPT-5 for complex reasoning and Flash for simple tasks.

How do I install Agent Orchestrator?

Run `npx clawhub@latest install agent-orchestrator` from any directory with Claude Code or OpenClaw installed. The skill is added to your local SKILL.md registry and is available to your agent immediately — no restart required.