# openai-codex-operator

> openai-codex-operator — cecwxf-openai-codex-operator. Use this tool when you need to automate coding tasks in a specific project directory, leveraging the capabilities of OpenAI Codex. It solves problems such as generating code, completing partial code, and assisting with coding tasks, taking project directory as input and producing generated code as output. Ideal for use cases where automated coding assistance is required, streamlining development workflows.

Canonical page: https://skillsregistry.net/skills/cecwxf-openai-codex-operator  
JSON: https://api.skillsregistry.net/v1/skills/cecwxf-openai-codex-operator

## Description

Run OpenAI Codex CLI from OpenClaw for coding tasks in a target project directory.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/cecwxf-openai-codex-operator)

## 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": "cecwxf-openai-codex-operator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cecwxf-openai-codex-operator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cecwxf-openai-codex-operator/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