# Debate Agent

> Use this tool when you need to facilitate collaborative code review and analysis through structured debates between multiple language models. It solves problems of code quality and reliability by identifying issues and scoring their severity, and provides outputs in the form of judged debates with point-based scoring. Ideal for use in software development workflows, particularly when integrated with tools like VS Code, Claude Desktop, and Claude CLI.

Canonical page: https://skillsregistry.net/skills/ferdiangunawan-debate-agent  
JSON: https://api.skillsregistry.net/v1/skills/ferdiangunawan-debate-agent

## Description

Enables multi-agent debates for code review where multiple language models analyze code changes through structured debate mechanics. Features severity-based scoring for issues, multiple debate modes including adversarial and consensus approaches, and deterministic point-based judging. Integrates with Claude Desktop, Claude CLI, and VS Code to provide collaborative code review workflows through agent competition.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ferdiangunawan-debate-agent)
- **Repository:** <https://github.com/ferdiangunawan/debate-agent-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ferdiangunawan-debate-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ferdiangunawan-debate-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ferdiangunawan-debate-agent/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt