# code-assistant-peers

> code-assistant-peers — anamkwon-code-assistant-peers. Use this tool when you need to facilitate collaborative code development and ensure high-quality code through mandatory peer review between coding assistants like Claude Code, Codex, and Gemini. It solves problems of code reliability and consistency by enabling CLI agents to review and validate each other's code. The tool integrates with git, accepting code submissions as input and providing reviewed and validated code as output.

Canonical page: https://skillsregistry.net/skills/anamkwon-code-assistant-peers  
JSON: https://api.skillsregistry.net/v1/skills/anamkwon-code-assistant-peers

## Description

MCP server for mandatory peer review between coding assistants like Claude Code, Codex, Gemini, and  other CLI agents.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/AnamKwon/code-assistant-peers)

## 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": "anamkwon-code-assistant-peers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anamkwon-code-assistant-peers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anamkwon-code-assistant-peers/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