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 lidge-jun · Codex Skill · ★ 16.9k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is opencodex safe to install? View the security audit →
make codex open! npm install -g @bitkyc08/opencodex · ocx start · localhost:10100 English · 한국어 · 简体中文 · 📖 Full documentation → Use Claude, Gemini, Grok, GLM, DeepSeek, Kimi, Qwen, Ollama, or any other LLM with Codex — without waiting for OpenAI to add support. opencodex is a lightweight local proxy that translates Codex's Responses API into whatever your provider speaks. Streaming, tool calls, reasoning tokens, images — everything works, in both directions. It can also mana
| Stars | 16,881 |
| Forks | 1,273 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.9493764590522/100 |
| Open Issues | 112 |
| Last Updated | 2026-10-04 |
| Created | 2026-06-18 |
| Platforms | claude-code, cli, codex, gemini, node |
| Est. Tokens | ~18k |
These tools work well together with opencodex for enhanced workflows:
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opencodex is Universal provider proxy for OpenAI Codex & Claude Code — use any LLM (Claude, Gemini, Grok, DeepSeek, Ollama…) with Codex CLI, App, SDK, and Claude Code. It is categorized as a Codex Skill with 16.9k GitHub stars.
opencodex is primarily written in TypeScript. It covers topics such as ai-gateway, ai-tools, anthropic.
You can find installation instructions and usage details in the opencodex GitHub repository at github.com/lidge-jun/opencodex. The project has 16.9k stars and 1273 forks, indicating an active community.
opencodex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to opencodex on Agent Skills Hub include 9router, repomix, OmniRoute. 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: