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 Yuan-ManX · Agent Tool · ★ 1.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ai-game-devtools safe to install? View the security audit →
AI Game DevTools (AI-GDT) 🎮 Your AI Game Dev Hub. 🚀 The ultimate resource hub for AI-powered game development tools. Discover cutting-edge LLMs, World Model, Agent, Code, Image, Texture, Shader, 3D Model, Animation, Video, Audio, Music, Singing Voice and Analytics. 🔥 Website | 官方网站 Table of Contents LLM (LLM & Tool) VLM (Visual) Game (World Model & Agent) Code Image Texture Shader 3D Model Avatar Animation Video Audio Music Singing Voice Speech Analytics Project List LLM (LLM & Tool) | :
| Stars | 1,346 |
| Forks | 130 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 55.9179346058242/100 |
| Open Issues | 13 |
| Last Updated | 2026-07-21 |
| Created | 2023-03-21 |
| Platforms | node |
| Est. Tokens | ~25k |
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ai-game-devtools is Your AI Game Dev Hub. The ultimate resource hub for AI-powered game development tools. Discover cutting-edge LLMs, World Model, Agent, Code, Image, Texture, Shader, 3D Model, Animation, Video, Audio, . It is categorized as a Agent Tool with 1.3k GitHub stars.
ai-game-devtools is primarily written in JavaScript. It covers topics such as ai-agents, ai-game-development, ai-game-engine.
You can find installation instructions and usage details in the ai-game-devtools GitHub repository at github.com/Yuan-ManX/ai-game-devtools. The project has 1.3k stars and 130 forks, indicating an active community.
ai-game-devtools is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-game-devtools on Agent Skills Hub include free-ai-resources-x, novel-to-game, novel-to-game. 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: