QuorumAI for Openclaw

A multi-model AI synthesis tool that aggregates responses from four major LLMs to provide a single, arbitrated best answer.

shokatma-oss
v1.0.0
Mar 2, 2026
0
841
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install quorumai

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install quorumai 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 QuorumAI?

QuorumAI enables developers to move beyond single-model limitations by facilitating a competitive inquiry process between Claude, GPT, Gemini, and Grok. By using this skill within Openclaw Skills, you can trigger academies—specialized panels for technical, clinical, or financial advice—where an automated arbiter scores each AI's input before synthesizing a final response.

This approach minimizes hallucinations and ensures a more balanced, comprehensive perspective on any given topic. By leveraging the unique strengths of multiple foundation models simultaneously, QuorumAI provides a level of depth and verification that single-model queries cannot match.

QuorumAI Use Cases

  • Validating technical architectures with a dedicated technical review board.
  • Generating unbiased business strategies by synthesizing multiple AI perspectives.
  • Stress-testing investment theses using the pro-tier dissent mode.
  • Cross-checking clinical or medical inquiries against a specialized clinical academy.

How QuorumAI Works

  1. The user submits a question or thesis to the agent.
  2. The skill dispatches the query to the QuorumAI API using the selected mode (Quick, Standard, or Deep).
  3. Four distinct AI models generate responses simultaneously based on the chosen academy context (General, Clinical, Technical, etc.).
  4. An arbiter model evaluates and scores each response to identify the most accurate and high-quality information.
  5. The final output is synthesized into a single cohesive answer, highlighting the winning model and providing a detailed breakdown of consensus and vulnerabilities.

QuorumAI Setup

To integrate this with Openclaw Skills, first obtain an API key at https://quorumai.io/account. Then, configure your environment variable:

export QUORUMAI_API_KEY=qai_your_key_here

Ensure you have curl installed to handle the API requests.

QuorumAI Data Schema & Taxonomy

The synthesis process generates structured JSON data containing the following key fields for easy interpretation:

Field Description
synthesis The combined, optimized best answer from all models.
prima The highest-scoring model (winning voice).
voices Array of individual responses from each AI provider.
scores Performance ratings assigned by the arbiter for each response.
consensus_claims Points of agreement identified across all models (Dissent mode).
vulnerable_claims Statements that failed adversarial testing (Dissent mode).
share_url A public link to the full inquiry results page for external viewing.

QuorumAI Advanced Features

  • Dissent Mode: Forces models to argue against themselves to identify weak points in an argument and increase result confidence.
  • Custom Arbiters: Choose specific models like Claude, GPT, Gemini, or Grok to act as the primary judge for the inquiry.
  • Domain-Specific Academies: Access specialized panels for clinical, technical, and investment queries for expert-level synthesis.
  • Deep Inquiry Mode: Execute up to 4 rounds of synthesis with 16 total responses for professional-grade research and maximum thoroughness.

SKILL.md


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