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 striderZA · Agent Tool · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is OpenCodeGameStudios safe to install? View the security audit →
OpenCode Game Studios ⚡ Evolved from Claude Code Game Studios (CCGS) — now a standalone framework with workflow selection, phase gates, pre-workflow prototyping, and hybrid discovery-to-production pipelines. 📑 Table of Contents 💡 Motivation 📊 Port Status 🚀 Quick Start 🔌 Recommended Plugins 🗺️ Key Mappings 🧠 Model Mapping 🎯 Model Assignment Strategy 🔄 Customizing Models 📁 Directory Tree 🔗 Hooks Plugin 🏗️ Studio Hierarchy 🐛 Known Issues 📄 License
| Stars | 74 |
| Forks | 7 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 64.4532053241634/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-11 |
| Created | 2026-04-29 |
| Platforms | claude-code, node |
| Est. Tokens | ~16k |
These tools work well together with OpenCodeGameStudios for enhanced workflows:
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OpenCodeGameStudios is Agentic game development taken to the next level: plan, build and test across major engines with any coding agent🤖. It is categorized as a Agent Tool with 74 GitHub stars.
OpenCodeGameStudios is primarily written in JavaScript. It covers topics such as ai-agents, aseprite, claude-code.
You can find installation instructions and usage details in the OpenCodeGameStudios GitHub repository at github.com/striderZA/OpenCodeGameStudios. The project has 74 stars and 7 forks, indicating an active community.
OpenCodeGameStudios is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to OpenCodeGameStudios on Agent Skills Hub include everything-game-dev-code, vibepod-cli, rigup.nix. 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: