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 7as0nch · Codex Skill · ★ 637
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mimo2codex safe to install? View the security audit →
mimo2codex English · 简体中文 · Docs site Local proxy that lets the latest OpenAI Codex CLI / desktop talk to virtually any modern LLM. Built-in support for Xiaomi MiMo V2.5 and DeepSeek V4 Pro, plus a generic provider mechanism for any OpenAI Chat Completions-compatible (Qwen / GLM / Kimi / vLLM / Ollama / LM Stu
| Stars | 637 |
| Forks | 66 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 62.9200001992709/100 |
| Open Issues | 20 |
| Last Updated | 2026-07-04 |
| Created | 2026-05-07 |
| Platforms | cli, codex, node |
| Est. Tokens | ~15k |
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mimo2codex is 让最新版 OpenAI Codex CLI / Codex 桌面端接入主流大模型的本地代理(新增mac/win包支持，后台运行，开机自动重启)。内置 小米 MiMo V2.5/DeepSeek V4 Pro，并提供通用 provider 机制，**OpenAI Chat Completions 兼容**（Qwen / GLM / Kimi / 本地 vLLM / Ollama / LM Studi. It is categorized as a Codex Skill with 637 GitHub stars.
mimo2codex is primarily written in TypeScript. It covers topics such as codex, deepseek, macos.
You can find installation instructions and usage details in the mimo2codex GitHub repository at github.com/7as0nch/mimo2codex. The project has 637 stars and 66 forks, indicating an active community.
mimo2codex is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mimo2codex on Agent Skills Hub include code-notify, Joanium, memsearch. 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: