# orca

> orca — alex2481kobe-orca. Use this tool when you need to automate interactions between Claude Code and Codex, enabling them to start each other, wait for results, and read answers, streamlining development workflows and facilitating collaboration through git integration. It solves problems of manual intervention and synchronization, providing a reliable interface for inputting commands and outputting results. Ideal for use cases requiring automated code execution and feedback.

Canonical page: https://skillsregistry.net/skills/alex2481kobe-orca  
JSON: https://api.skillsregistry.net/v1/skills/alex2481kobe-orca

## Description

A small, reliable tool that lets Claude Code and Codex start each other.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/alex2481kobe/orca)

## 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": "alex2481kobe-orca"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alex2481kobe-orca` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alex2481kobe-orca/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