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 Vieeeeeee · Codex Skill · ★ 142
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is wibi-style safe to install? View the security audit →
用 AI，把日常拍成艺术。 挑一款风格，发一张照片，出来就是成品。不用学提示词，也不用调参数。 19 款 可独立安装的视觉风格 Skill · 在线体验 · 交流群 · 授权说明 由 @威比 Hunter Wei. 制作和维护，抖音、小红书同名 English · 简体中文 给 Agent：这里是一组做好的视觉风格 Skill —— 用户挑一款、发一张照片，出来就是成品。你需要的三件事： - 有哪些：下方 「全部风格」 一张表，按题材分组，每款给了中文名、调用名和适合什么照片。 - 怎么装：把调用名填进 ，让用户在 Codex 里发这个地址。每款是独立目录，只会装选中的那一款。 - 怎么用：装完在新任务里发 。不用再跑别的命令，Skill 第一次调用会自己打招呼。 剩下的按你对用户的判断来。 风格总览 点任意一张进入该款 Skill。也可以到威比风格实验室在线体验。 <a href=
| Stars | 142 |
| Forks | 11 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 60.4853828088811/100 |
| Last Updated | 2026-09-11 |
| Created | 2026-08-09 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
These tools work well together with wibi-style for enhanced workflows:
Looking for a wibi-style alternative? If you're comparing wibi-style 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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wibi-style is 20+ 款可独立安装的 AI 视觉风格 Skill：挑一款、上传一张照片，在 Codex 里直接生成成品。作者 @威比 Hunter Wei.（抖音、小红书同名）. It is categorized as a Codex Skill with 142 GitHub stars.
wibi-style is primarily written in Python. It covers topics such as agent-skills, ai, ai-art.
You can find installation instructions and usage details in the wibi-style GitHub repository at github.com/Vieeeeeee/wibi-style. The project has 142 stars and 11 forks, indicating an active community.
The top alternatives to wibi-style on Agent Skills Hub include ilab-gpt-conjure, ai-game-art-pipeline-skill, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: