god-tibo-imagen: Python & Node package to use GPT image 2.0 model via codex subscription

by NomaDamas · Codex Skill · ★ 186

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

How to install god-tibo-imagen

npm install -g god-tibo-imagen
npm install god-tibo-imagen

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

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

Stars186
Forks25
LanguageJavaScript
CategoryCodex Skill
Quality Score65/100
Last Updated2026-09-19
Created2026-04-22
Platformscodex, node
Est. Tokens~15k

About god-tibo-imagen

god-tibo-imagen Node.js library and CLI for sending image-generation requests to Codex's private ChatGPT-authenticated backend path. WARNING: This is not a supported public API integration. It depends on private Codex request behavior that may change without notice.

Compatible Skills

These tools work well together with god-tibo-imagen for enhanced workflows:

  • gongnyang-prompt-kit — semantic(0.52)+complementary+same_lang+similar_pop+shared_platform (68%)
  • shots — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (60%)
  • prompt-engineering-skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

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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