# codex-claude-council

> codex-claude-council — hamza-aziz-ai-codex-claude-council. Use this tool when you need to leverage the collective knowledge of ChatGPT and Claude to answer complex questions, as it allows for cross-critique and provides a single, refined response through a signed-in CLI interface, ideal for development and coding tasks, especially with git integration. It solves problems of inconsistent or biased responses by combining the strengths of both AI models. Input your question through the CLI, and receive a single, cross-validated answer as output.

Canonical page: https://skillsregistry.net/skills/hamza-aziz-ai-codex-claude-council  
JSON: https://api.skillsregistry.net/v1/skills/hamza-aziz-ai-codex-claude-council

## Description

Ask ChatGPT (Codex) and Claude the same question through your own signed-in CLIs: each answers, critiques the other, replies, and they agree on one answer. Both can read your project (never change it) and search the web. MCP server + plugin for Claude Code, Claude Cowork and Codex. No API keys.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **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/hamza-aziz-ai/codex-claude-council)

## 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": "hamza-aziz-ai-codex-claude-council"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hamza-aziz-ai-codex-claude-council` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hamza-aziz-ai-codex-claude-council/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