# codex-code-review

> Use this tool when you need to perform code reviews on uncommitted changes, keeping the review context separate from the main session. It solves problems of code quality and collaboration by enabling reviews via an MCP tool, integrated with the Codex CLI. This tool accepts uncommitted code changes as input and outputs review feedback, ideal for use during development and testing phases.

Canonical page: https://skillsregistry.net/skills/szpadel-codex-mcp-code-review  
JSON: https://api.skillsregistry.net/v1/skills/szpadel-codex-mcp-code-review

## Description

Enables Codex CLI to perform code reviews on uncommitted changes via an MCP tool, keeping review context separate from the main session.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vw134hjwfg)
- **Repository:** <https://github.com/Szpadel/codex-mcp-code-review>

## 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": "szpadel-codex-mcp-code-review"
    }
  }
}
```

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