3d-vibe-coding-handbook — security grade SAFE, quality 60/100

Security audit verdict: SAFE · quality 60/100

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 alchaincyf · AI Skill · ★ 255

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

🔒 Is 3d-vibe-coding-handbook safe to install? View the security audit →

About 3d-vibe-coding-handbook

3D Vibe Coding 手册 从一句话到能跑的场景:GPT-6 Astra × Tripo 全流程实测 一个不会写代码的人,怎么用 AI 生成 3D 资产,再把它们真正接进一个能跑的项目。 386 页、25.6 万字、260 张图,六个可玩 demo,所有数字都可核,翻车也没删。 当前版本 v260914c(2026-09-14)。 作者:花叔(AI Native Coder)· 本书是做那座能开车逛的巴黎时的实测记录 先读哪一页 在线阅读:(仓库转公开后可直接用 GitHub Pages 打开) PDF:见 Releases 资源包(11 个,按需下载) 不出整包。 冲着绑骨来的人不需要 8K 贴图原档,每个包能单独用,各带 README 和 SHA256。 | [](../../re

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Quick Facts

Stars255
Forks35
LanguageHTML
CategoryAI Skill
Quality Score60.2294636605271/100
Last Updated2026-09-15
Created2026-09-13
Est. Tokens~16k

Compatible Skills

These tools work well together with 3d-vibe-coding-handbook for enhanced workflows:

  • meshy-3d-agent — semantic(0.53)+complementary+rare_topics+similar_pop (58%)

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Frequently Asked Questions

What is 3d-vibe-coding-handbook?

3d-vibe-coding-handbook is 《3D Vibe Coding 手册》配套仓库:书的 HTML 版、demo 源码、工具脚本与资源包索引. It is categorized as a AI Skill with 255 GitHub stars.

What programming language is 3d-vibe-coding-handbook written in?

3d-vibe-coding-handbook is primarily written in HTML. It covers topics such as 3d, ai-3d, gltf.

How do I install or use 3d-vibe-coding-handbook?

You can find installation instructions and usage details in the 3d-vibe-coding-handbook GitHub repository at github.com/alchaincyf/3d-vibe-coding-handbook. The project has 255 stars and 35 forks, indicating an active community.

What are the best alternatives to 3d-vibe-coding-handbook?

The top alternatives to 3d-vibe-coding-handbook on Agent Skills Hub include three.ws, 3dviz-pro-max, kiln. 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:

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