hiddink-harness:agora

Orchestrate multi-agent adversarial reviews to identify flaws in technical designs.

1|Updated May 21, 2026
One-click install
npx skills add https://github.com/hiddink-ai/hiddink-harness --skill hiddink-harness-agora
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hiddink-harness:agora
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/agora
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill hiddink-harness-agora

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires codex-exec, gemini-exec.

What problem does it solve?

This skill addresses the risk of single-model blind spots and groupthink in architectural and design reviews by orchestrating a competitive, multi-agent adversarial consensus loop.

Core Features & Use Cases

  • Adversarial Consensus: Utilizes 3+ LLMs to independently critique designs and debate findings until unanimous agreement is reached.
  • Cross-Review Mechanism: Enables peer-to-peer challenge and rebuttal between agents to surface hidden flaws and resolve disagreements.
  • Use Case: Use this skill to perform a deep-dive security and feasibility review of a new system architecture document before implementation begins.

Quick Start

Invoke the agora skill on your design document to initiate the multi-agent review process.

Frequently Asked Questions about hiddink-harness:agora

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is multi-agent adversarial consensus for design review?

Multi-agent adversarial consensus orchestrates multiple LLMs to independently critique technical designs and debate findings until unanimous agreement, mitigating single-model blind spots and groupthink in architectural validation.

How do I perform a security audit of a system architecture document?

Invoke the agora skill on your design document to initiate a multi-agent review where independent LLMs compete to identify security flaws and reach evidence-based consensus on critical design risks.

Do I need both codex-exec and gemini-exec to run multi-LLM code review?

Yes, both codex-exec and gemini-exec are required dependencies to enable the cross-review mechanism where multiple agents challenge and rebut each other's findings during the adversarial consensus loop.

Can I use adversarial consensus for complex decision-making workflows?

Yes, adversarial consensus applies to complex decision-making workflows requiring high confidence by enabling peer-to-peer challenges between agents to surface hidden flaws and resolve disagreements through automated reporting.

What is the best way to avoid single-model blind spots in architectural validation?

Using a competitive multi-agent adversarial consensus loop is the best way to avoid single-model blind spots, as it forces 3+ LLMs to independently critique designs and debate findings until unanimous agreement is reached.