# codex-massa

> codex-massa — solarthis-codex-massa. Use this tool when you need to automate coding tasks and accelerate development workflows. Codex Massa solves problems of manual coding and verification by delegating tasks to OpenAI Codex and orchestrating a build-verify-review loop until goals are met. It takes in coding tasks and outputs verified code, integrating with Git for seamless version control.

Canonical page: https://skillsregistry.net/skills/solarthis-codex-massa  
JSON: https://api.skillsregistry.net/v1/skills/solarthis-codex-massa

## Description

Codex Massa — a /massa slash command for Claude Code plus a local MCP orchestrator that delegates coding to OpenAI Codex and loops build → verify → review until the goal passes.

## 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:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Solarthis/codex-massa)

## 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": "solarthis-codex-massa"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/solarthis-codex-massa` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/solarthis-codex-massa/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