aiChatGptAgent: ChatGPT 官网图片生成与图片编辑能力逆向封装,提供 OpenAI 兼容的图片 API、在线画图工作台、号池管理、注册机

by boteSu · Codex Skill · ★ 39

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Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars39
Forks20
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score63/100
Open Issues2
Last Updated2026-05-29
Created2026-05-28
Platformscodex, docker, node
Est. Tokens~15k

About aiChatGptAgent

ChatGPT 官网图片生成与图片编辑能力逆向封装,提供 OpenAI 兼容的图片 API、在线画图工作台、号池管理、注册机、日志/图片管理与 Docker 自托管部署,支持 gpt-image-2 与 codex-gpt-image-2 双模型。

Compatible Skills

These tools work well together with aiChatGptAgent for enhanced workflows:

  • flyreq-image-studio — semantic(0.51)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (76%)
  • mcp-image — semantic(0.49)+complementary+shared_fw(openai)+same_lang+similar_pop+shared_platform (75%)

aiChatGptAgent alternative? Top 1 similar tools

Looking for a aiChatGptAgent alternative? If you're comparing aiChatGptAgent with other codex skill tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • theorist by blader · ⭐ 191

    A Codex/Claude skill that maintains per-repo operating theory documents.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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