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by EvoLinkAI · Codex Skill · ★ 56

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About gpt-image-2-gen-skill

GPT Image 2 AI image generation skill for OpenClaw, Claude Code, OpenCode, and Cursor - one command install

gpt-image-2gpt-image-2-apigpt-image-2-modelgpt-image-2-skillgpt-image-editinggpt-image-generationimage-editingimage-generationimage-to-imagellm-image-generation

Quick Facts

Stars56
Forks10
LanguageJavaScript
CategoryCodex Skill
LicenseMIT
Quality Score58.9755152184651/100
Open Issues1
Last Updated2026-06-24
Created2026-04-27
Platformsclaude-code, node
Est. Tokens~13k

gpt-image-2-gen-skill alternative? Top 6 similar tools

Looking for a gpt-image-2-gen-skill alternative? If you're comparing gpt-image-2-gen-skill with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is gpt-image-2-gen-skill?

gpt-image-2-gen-skill is GPT Image 2 AI image generation skill for OpenClaw, Claude Code, OpenCode, and Cursor - one command install. It is categorized as a Codex Skill with 56 GitHub stars.

What programming language is gpt-image-2-gen-skill written in?

gpt-image-2-gen-skill is primarily written in JavaScript. It covers topics such as gpt-image-2, gpt-image-2-api, gpt-image-2-model.

How do I install or use gpt-image-2-gen-skill?

You can find installation instructions and usage details in the gpt-image-2-gen-skill GitHub repository at github.com/EvoLinkAI/gpt-image-2-gen-skill. The project has 56 stars and 10 forks, indicating an active community.

What license does gpt-image-2-gen-skill use?

gpt-image-2-gen-skill is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to gpt-image-2-gen-skill?

The top alternatives to gpt-image-2-gen-skill on Agent Skills Hub include mcp-image, codex-gpt-image, texel-studio. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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