codex-imagen — Codex Skill by darkamenosa

by darkamenosa · Codex Skill · ★ 111

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About codex-imagen

Codex Imagen OpenClaw skill and helper CLI for generating or editing images through the ChatGPT/Codex Responses backend with local OAuth credentials. This calls the native Responses tool at the Codex backend. It does not start , does not require a Codex binary, does not use the public Images API, and does not require . Requirements Node.js 22+ Existing Codex or OpenClaw OAuth credentials on the machine Supported auth stores: OpenClaw auth profiles: OpenClaw agent auth: OpenClaw legacy OAuth: Codex CLI/Desktop: Quick Start Check auth without generating: Generate one image: Generate multiple images by asking for them in the prompt. There is no flag. Normal generation prints one saved PNG path per line. Diagnostics and progress are written

codexcodex-app-serverimage-generationopenclawopenclaw-skill

Quick Facts

Stars111
Forks34
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score71.7538746194683/100
Open Issues2
Last Updated2026-06-06
Created2026-04-22
Platformscodex, node
Est. Tokens~10k

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Frequently Asked Questions

What is codex-imagen?

codex-imagen is Codex/OpenClaw skill for generating images with ChatGPT/Codex OAuth. It is categorized as a Codex Skill with 111 GitHub stars.

What programming language is codex-imagen written in?

codex-imagen is primarily written in JavaScript. It covers topics such as codex, codex-app-server, image-generation.

How do I install or use codex-imagen?

You can find installation instructions and usage details in the codex-imagen GitHub repository at github.com/darkamenosa/codex-imagen. The project has 111 stars and 34 forks, indicating an active community.

What license does codex-imagen use?

codex-imagen is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to codex-imagen?

The top alternatives to codex-imagen on Agent Skills Hub include memorix, team-tasks, kindly-web-search-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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