Amahane-Hikari-Live2D: AI-led Live2D creation with OpenAI Codex: MIT TypeScript/WebGL viewer, tested tools and a reusable production

by luomo66ccff · Codex Skill · ★ 63

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How to install Amahane-Hikari-Live2D

git clone https://github.com/luomo66ccff/Amahane-Hikari-Live2D.git

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

Security audit verdict: SAFE · quality 61/100

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.

ai-assisted-developmentavatarcodexcreative-toolscubismlive2dsource-availabletypescriptvitevtuber

Quick Facts

Stars63
Forks0
LanguageTypeScript
CategoryCodex Skill
Quality Score61/100
Last Updated2026-09-21
Created2026-09-10
Platformsbrowser, codex, node
Est. Tokens~15k

About Amahane-Hikari-Live2D

Amahane Hikari · AI 主导的 Live2D 制作与开发 简体中文 / English AI 主导制作与工程实现 · 使用 OpenAI Codex 开发 · 由维护者确定方向与验收 Amahane Hikari 是一个把部分 AI 生成的美术组件、可编辑 Live2D 角色与 TypeScript/WebGL 网页串起来的创作工程。Codex 代理承担需求拆解、代码生成、工具编排、排错、测试和文档整理; 提出需求、纠正视觉与动作效果,并负责验收决定和发布授权。这里公开可复用的代码、制作 Skill、纠错经验和模型源文件。 AI 开发与生成记录 · English: how AI built this project 在线试玩 · 模型下载(v2.0.0) · 制作 Skill 源码 · Skill 包(v2.0.1) · 参与贡献 · 安全披露 查看三套服装的静态预览 <

Compatible Skills

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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