# codex-sub-agents

> codex-sub-agents — adamsardo-codex-sub-agents. Use this tool when you need to automate coding tasks, generate code snippets, or assist with programming projects. It solves problems such as reducing manual coding effort, improving code quality, and accelerating development timelines. The Codex-sub-agents tool takes in natural language inputs and outputs generated code in various programming languages.

Canonical page: https://skillsregistry.net/skills/adamsardo-codex-sub-agents  
JSON: https://api.skillsregistry.net/v1/skills/adamsardo-codex-sub-agents

## Description

Use OpenAI Codex CLI for coding tasks.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/adamsardo-codex-sub-agents)

## 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": "adamsardo-codex-sub-agents"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/adamsardo-codex-sub-agents` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/adamsardo-codex-sub-agents/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