Design, structure, and deploy complex multi-agent orchestrations with a complete blueprint and document handoff system.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-harness-builder
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-harness-builder using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agent Harness Builder?
The Agent Harness Builder is a highly specialized skill designed to architect, structure, and hand off an enterprise-grade multi-agent orchestration fleet. Built to coordinate a Chief Technology Officer (CTO) or master orchestrator agent with a roster of tiered specialist agents, this tool establishes clear routing lines, model assignments, communications architecture, and memory barriers. By keeping the orchestrator informed via reports rather than raw channel history, it solves the critical issue of token bloat and performance degradation in multi-agent frameworks.
As a foundational member of the Openclaw Skills family, the Agent Harness Builder generates five production-ready Markdown files that act as a comprehensive workspace for your AI fleet. Developers and system architects can immediately feed these blueprints into their orchestrators, turning complex human-agent workflows into automated, resilient operations with clear rules for escalation and resource limits.
Agent Harness Builder Use Cases
- Designing a robust, multi-tier AI agent team with a CTO or Lead Orchestrator model at the center.
- Creating context-routing maps to avoid token-bloat and high costs in complex agent setups.
- Packaging a standardized, handoff-ready documentation set for your engineering team or autonomous orchestrators.
- Introducing strict memory thresholds and monthly archiving mechanics to prevent agent performance degradation.
- Establishing structured communication layers using tools like Slack or Discord as part of your Openclaw Skills workspace setup.
How Agent Harness Builder Works
- Input Gathering: Collect data regarding your orchestrator identity, specialist agent roster, business domains, available LLMs, and communication infrastructure (e.g., Slack channels).
- Tier-Based Classification: Sort every agent into designated functional tiers (Tier 0 Orchestrator, Tier 1 Senior Specialists, Tier 2 Domain Workers, Tier 3 Utility Agents) to align model capability with operational cost.
- Document Set Generation: Produce five targeted system architectural Markdown files covering system prompts, agent profiles, implementation instructions, and cold-start briefs.
- Invariant Rule Enforcement: Apply essential parameters including hard character-based memory limits, structured task briefs, and single-channel completion reporting.
- Deployment Handoff: Deliver the packaged output directory with 3-step setup instructions to onboard your sovereign orchestrator.
Agent Harness Builder Setup
The Agent Harness Builder operates as a local utility inside your AI agent's directory. Install and configure your environment using the following standard commands:
cd my-agentic-workspace
git clone https://github.com/openclaw/skills.git openclaw-skills
claw run agent-harness-builder --config config.yaml
Agent Harness Builder Data Schema & Taxonomy
Generated Deliverables and File Schema
The Agent Harness Builder generates a structured set of 5 Markdown files designed for easy parsing by AI models and team members. Below is the metadata taxonomy and schema mapping:
| Document | Target Audience | Primary Function |
|---|---|---|
[ORCHESTRATOR]-READ-THIS-FIRST.md |
Orchestrator Agent | One-page cold-start brief, Slack map, top rules, and immediate actions. |
HARNESS-ARCHITECTURE.md |
Engineers & Orchestrator | Full architecture blueprint: tier rules, profile schema, routing trees, and memory plans. |
AGENT-PROFILES.md |
Orchestrator Agent | The routing directory containing profiles, domains, and domain-routing lookup tables. |
[ORCHESTRATOR]-SYSTEM-PROMPT.md |
Orchestrator Agent | System prompt config comprising identity, task-brief schemas, and escalation triggers. |
IMPLEMENTATION-GUIDE.md |
Human Developers | Phase-by-phase build guidelines, CLI commands, and a maintenance schedule. |
Agent Harness Builder Advanced Features
- Tiered LLM Routing Matrix: Assigns high-context, premium models to the orchestrator while limiting utility tasks to lightweight, local LLMs to maximize budget efficiency.
- Hard Token-Boundary Memory Management: Implements structured limits (e.g., 15k chars for Tier 0, 4k for Tier 3) with a designated monthly archival rule (
MEMORY-ARCHIVE.md) to prevent context drifting. - Channel-Based Signal Routing: Uses structured
#completionschannels instead of raw thread monitoring, ensuring high signal-to-noise ratio in systems powered by Openclaw Skills. - Escalation Trigger Protocols: Outlines automated triggers to escalate tasks back to human operators if cost limits are crossed or if execution failures occur sequentially.
SKILL.md
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