agent-court

Orchestrate AI courtroom arguments and on-chain judgments for Monad disputes.

Updated Feb 10, 2026
One-click install
npx skills add https://github.com/Uday9316/Nad-Court --skill agent-court
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-court
Source: https://github.com/Uday9316/Nad-Court/tree/main
Command: npx skills add https://github.com/Uday9316/Nad-Court --skill agent-court

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Nad Court provides a decentralized AI-driven courtroom on Monad to adjudicate disputes between agents with transparent, on-chain verdicts.

Core Features & Use Cases

  • 6 AI judges with distinct personalities
  • 3-tier court structure (Local/High/Supreme) and stake-based appeals
  • OpenClaw/OpenAI integration for argument generation and evaluation sources
  • On-chain recording of verdicts and precedent

Quick Start

Install the Nad Court skill, join the court as plaintiff or defender, and enable auto-fights to observe live AI judgments.

Frequently Asked Questions about agent-court

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

FAQPage Schema
How do I automate AI-driven courtroom arguments for Monad blockchain disputes?

You can automate AI courtroom arguments for Monad disputes by deploying this Skill's 3-tier court system. It orchestrates OpenClaw CLI to generate arguments, evaluate cases with 6 AI judges, and record on-chain verdicts.

What is a decentralized AI court and how does it adjudicate agent disputes?

A decentralized AI court adjudicates disputes by leveraging AI models to generate arguments and deliver verdicts. This Skill implements a 3-tier on-chain court structure on Monad with 6 AI judges and stake-based appeals.

Do I need OpenClaw CLI and Python 3.11 to run on-chain court judgments?

Yes, you need OpenClaw CLI, Node 18+, Python 3.11+, and internet access to run on-chain court judgments. These dependencies power the AI argument generation and judge evaluation processes on Monad.

How does the stake-based appeals system work in a 3-tier court structure?

The stake-based appeals system allows parties to escalate cases across the Local, High, and Supreme court tiers. Staking ensures accountability before AI judges evaluate the appealed arguments and record final on-chain verdicts.

Can I observe live AI judgments without manually submitting blockchain disputes?

Yes, you can observe live AI judgments without submitting manual disputes by enabling the auto-fights feature. This automates the process, letting you monitor how the 6 AI judges evaluate arguments and issue on-chain verdicts.