tait-crt-interface-skill: Codex image generation skill that transforms user-uploaded portraits, photographs, or text descriptions

by TaiT-tt · Codex Skill · ★ 538

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

Security audit verdict: SAFE · quality 59/100

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

Stars538
Forks24
LanguagePython
CategoryCodex Skill
Quality Score59/100
Last Updated2026-08-11
Created2026-08-02
Platformscodex, python
Est. Tokens~14k

About tait-crt-interface-skill

TaiT CRT Interface Skill TaiT-CRT-Interface-Skill是一个Codex的图片生成skill,将用户上传的人像、摄影或文字描述等主题设计成一张带有早期CRT计算机界面质感的复古插画。 TaiT-CRT-Interface-Skill is a Codex image generation skill that transforms user-uploaded portraits, photographs, or text descriptions into a retro illustration with the feel of an early CRT computer interface.

Compatible Skills

These tools work well together with tait-crt-interface-skill for enhanced workflows:

  • codex-gpt-image — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)
  • MiniMax-MCP — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (60%)

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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:

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