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Install in OpenClaw
/install multi-agent-debate
Description
Verify facts, reduce hallucinations, and explore multiple viewpoints through structured multi-agent debate. Multiple agents independently answer the same que...
Usage Guidance
This skill is instruction-only and appears coherent for running structured multi-agent debates. Before installing: (1) note the publisher/source is unknown—if provenance matters, prefer skills with a known homepage/owner; (2) expect higher latency and model-call cost because the pattern runs multiple agent passes; (3) avoid sending highly sensitive secrets into the debate prompts (multiple internal agents/processes will see the content); and (4) if you want to limit autonomous use, adjust agent permissions or disable autonomous invocation on your platform. If you need stronger assurance, ask the publisher for provenance or a signed manifest.
Capability Analysis
Type: OpenClaw Skill
Name: multi-agent-debate
Version: 1.0.0
The skill bundle provides a structured framework and documentation for implementing multi-agent debate to improve AI reasoning and fact-checking. It contains no executable code, shell commands, or network requests, and the instructions in SKILL.md and references/examples.md are entirely consistent with the stated purpose of reducing hallucinations and exploring multiple viewpoints through peer critique.
Capability Assessment
Purpose & Capability
Name/description (multi-agent debate for fact-checking and reducing hallucinations) match the SKILL.md content; nothing requested (no env vars, no binaries, no config paths) is outside that purpose.
Instruction Scope
SKILL.md only prescribes conversational/debate steps, critique/refine rounds, and examples. It does not instruct reading files, environment variables, external endpoints, or transmitting data outside the agent.
Install Mechanism
No install spec and no code files — instruction-only skill, so nothing will be downloaded or written to disk during install.
Credentials
The skill declares no required environment variables, credentials, or config paths; that is proportionate for a purely prompt-driven debate pattern.
Persistence & Privilege
always is false and disable-model-invocation is false (platform default). The skill does not request persistent system changes or global config modifications.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install multi-agent-debate - After installation, invoke the skill by name or use
/multi-agent-debate - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Multi-agent-debate 1.0.0 initial release:
- Introduces a structured multi-agent debate system to improve answer accuracy and reduce hallucinations.
- Agents independently answer questions, then critique each other's responses to surface errors and refine answers.
- Designed for fact-checking, complex reasoning, exploring trade-offs, and any scenario where accuracy and multi-perspective analysis are important.
- Includes an optional consensus phase to synthesize the best answer from peer debate.
- Not recommended for very simple, purely creative, or speed-critical use cases.
Metadata
Frequently Asked Questions
What is Multi-Agent Debate?
Verify facts, reduce hallucinations, and explore multiple viewpoints through structured multi-agent debate. Multiple agents independently answer the same que... It is an AI Agent Skill for Claude Code / OpenClaw, with 109 downloads so far.
How do I install Multi-Agent Debate?
Run "/install multi-agent-debate" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Multi-Agent Debate free?
Yes, Multi-Agent Debate is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Multi-Agent Debate support?
Multi-Agent Debate is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Multi-Agent Debate?
It is built and maintained by Simon (@simoncatbot); the current version is v1.0.0.
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