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 Besty0728 · Codex Skill · ★ 1.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Unity-Skills safe to install? View the security audit →
# 🎮 UnitySkills 基于 REST API 的 AI 驱动型 Unity 编辑器自动化引擎 让 AI 通过 Skills 直接掌控 Unity 场景 🎉 我们已被 DeepWiki 收录！ 有问题？查阅 AI 生成的项目文档 → 🤝 致谢 本项目基于 unity-mcp 的优秀理念深度重构与功能扩展。 🚀 核心特性 ⚡ 极致效能：支持 Result Truncation 与 SKILL.md 瘦身，最大化节省 Token。 🛠️ 全能工具库：内置 446 Skills，支持 Batch (批处理) 操作，大幅减少 HTTP 通信开销，显著提升执行效率。 🛡️ 安全第一：支持 Transactional (事务原子性)，操作失败自动回滚，场景零残留。 🌍 多实例支持：自动端口发现、全局注册表，支持同时控制多个 Unity 项目。 🤖 深度集成：独家支持 Antigravity Slash Commands，解锁 交互新体验。 🔌 全环境兼容：完美支持 Claude Code, Antigravity, Gemini CLI 等主流 AI 终端。 🎥 Cinemachine 2.x/3.x 双版本支持：自动检测 Unity 版本并安装对应 Cinemachine，支持 MixingCamera, ClearShot, Targ
| Stars | 1,773 |
| Forks | 165 |
| Language | C# |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.2100215658149/100 |
| Last Updated | 2026-09-22 |
| Created | 2026-01-18 |
| Platforms | claude-code, cli, codex, dotnet, gemini |
| Est. Tokens | ~19k |
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Unity-Skills is AI automation skills specifically designed for Unity. It is categorized as a Codex Skill with 1.8k GitHub stars.
Unity-Skills is primarily written in C#. It covers topics such as ai, antygravity-ai, chatgpt.
You can find installation instructions and usage details in the Unity-Skills GitHub repository at github.com/Besty0728/Unity-Skills. The project has 1.8k stars and 165 forks, indicating an active community.
Unity-Skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Unity-Skills on Agent Skills Hub include tokscale, openpencil, agent-of-empires. 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: