# mcp-review-board

> mcp-review-board — ly8427-mcp-review-board. Use this tool when you need to facilitate peer review of code among multiple AI agents, such as Claude Code, Codex, and OpenCode, to ensure quality and accuracy. It provides an append-only audit trail, allowing agents to review, revise, and pass code objects in a transparent and trackable manner. Ideal for collaborative coding environments where multiple agents contribute to a project, utilizing git for version control.

Canonical page: https://skillsregistry.net/skills/ly8427-mcp-review-board  
JSON: https://api.skillsregistry.net/v1/skills/ly8427-mcp-review-board

## Description

MCP review board that lets different coding agents review each other — object → revise → pass, append-only audit trail. For Claude Code, Codex, OpenCode, Trae, ZCode.

## Trust

- **Trust score (0–1):** 0.54
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ly8427/mcp-review-board)

## 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": "ly8427-mcp-review-board"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ly8427-mcp-review-board` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ly8427-mcp-review-board/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