gpt_image_2_skill — security grade SAFE, quality 65/100

Security audit verdict: SAFE · quality 65/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by wuyoscar · Codex Skill · ★ 1.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is gpt_image_2_skill safe to install? View the security audit →

Featured in: PPT Skills for Codex & Claude Code

About gpt_image_2_skill

GPT Image 2 Agentic Skill OpenAI GPT Image 2 agentic skill + CLI — curated, copy-paste prompts and runnable examples for skill-capable agents. ✨ At a glance Item Value Gallery size 162 prompts / 162 image assets · README shows a selected showcase Surfaces Agentic Skill + CLI — Claude Code / Codex, OpenClaw, Hermes Agent and other skill-capable agent runtimes Last update 2026-04-24 Docs <stron

agent-skillsai-image-promptsclaude-code-skillclicodex-skillgpt-imagegpt-image-2gpt-image-2-promptsimage-editingimage-generation

Quick Facts

Stars1,666
Forks157
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score65.0331454919478/100
Last Updated2026-05-08
Created2026-04-22
Platformsclaude-code, cli, codex, python
Est. Tokens~29533k

Compatible Skills

These tools work well together with gpt_image_2_skill for enhanced workflows:

gpt_image_2_skill alternative? Top 6 similar tools

Looking for a gpt_image_2_skill alternative? If you're comparing gpt_image_2_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.

  • ilab-conjure by kadevin · ⭐ 707

    面向 GPT-image-2 的 AI 图片生成 WebUI 工作台,支持 Codex Responses 与 OpenAI 兼容 API 接入,内置公用图库、多类型 Chip 快捷引用、提示词模板、多任务并发和本地队列

  • ilab-gpt-conjure by kadevin · ⭐ 625

    面向 GPT-image-2 的 AI 图片生成 WebUI 工作台,支持 Codex Responses 与 OpenAI 兼容 API 接入,内置公用图库、多类型 Chip 快捷引用、提示词模板、多任务并发和本地队列

  • gpt-image2-ecommerce by buluslan · ⭐ 380

    E-commerce product image generator skill — 39 scenario templates, GPT-Image-2/2.5 (Flare/Sunburst) model routi

  • chatgpt-imagegen by leeguooooo · ⭐ 353

    Use your ChatGPT subscription to generate images from the command line — no OPENAI_API_KEY, no gateway, no dae

  • Generative-Media-Skills by SamurAIGPT · ⭐ 4.3k

    Multi-modal Generative Media Skills for AI Agents (Claude Code, Cursor, Gemini CLI). High-quality image, video

  • nano-banana-pro-prompts-recommend-skill by YouMind-OpenLab · ⭐ 1.9k

    AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart sear

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Frequently Asked Questions

What is gpt_image_2_skill?

gpt_image_2_skill is GPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI for OpenAI image generation/editing. It is categorized as a Codex Skill with 1.7k GitHub stars.

What programming language is gpt_image_2_skill written in?

gpt_image_2_skill is primarily written in Python. It covers topics such as agent-skills, ai-image-prompts, claude-code-skill.

How do I install or use gpt_image_2_skill?

You can find installation instructions and usage details in the gpt_image_2_skill GitHub repository at github.com/wuyoscar/gpt_image_2_skill. The project has 1.7k stars and 157 forks, indicating an active community.

What license does gpt_image_2_skill use?

gpt_image_2_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_skill?

The top alternatives to gpt_image_2_skill on Agent Skills Hub include ilab-conjure, ilab-gpt-conjure, gpt-image2-ecommerce. 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:

View on GitHub → Browse Codex Skill tools