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 wellingfeng · Codex Skill · ★ 214
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is FreeUltraCode safe to install? View the security audit →
FreeUltraCode Run coding agents without burning premium quota. FreeUltraCode gives developers one local chat surface for Claude Code, Codex, Gemini, free provider channels, and local models. Use the expensive models when they matter. Send the routine work somewhere cheaper. English · 中文 · Français · Deutsch · Español · Português · Русский · 日本語 · 한국어 · हिन्दी · العربية · Discord · QQ Group: 149523963 <img src="https:
| Stars | 214 |
| Forks | 22 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.6728223994292/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-20 |
| Created | 2026-05-30 |
| Platforms | claude-code, codex, gemini, node |
| Est. Tokens | ~18k |
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FreeUltraCode is FreeUltraCode - AI coding agent for game development: engine workflows, gameplay code, and asset generation.. It is categorized as a Codex Skill with 214 GitHub stars.
FreeUltraCode is primarily written in TypeScript. It covers topics such as ai-agent, ai-coding, asset-generation.
You can find installation instructions and usage details in the FreeUltraCode GitHub repository at github.com/wellingfeng/FreeUltraCode. The project has 214 stars and 22 forks, indicating an active community.
FreeUltraCode is released under the MIT license, making it free to use and modify according to the license terms.
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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: