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 xqnode · Codex Skill · ★ 146
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is codex-helper safe to install? View the security audit →
Codex Helper Windows / macOS 轻量托盘 / 菜单栏工具 — 让 Codex Desktop 一键切换到 DeepSeek、通义千问、智谱、Kimi、MiniMax 等国产大模型。 零门槛设计：双击安装 → 自动配置 → 托盘右键选模型 → 开始用 Codex。 全程不需要打开终端、不需要改配置文件、不需要懂技术。 界面预览 右键系统托盘图标，即可切换模型、打开设置或同步配置： 托盘 →「设置…」打开 API Key 配置窗口（厂商 Chip 切换、Base URL、测试连接）： 这是给谁用的？ 小白用户：第一次接触 Codex，只想用 DeepSeek 替代 OpenAI 省钱 怕折腾的用户：看到 就头大 多账号用户：在 DeepSeek、通义、Moonshot 之间快速切换 如果你已经是命令行高手，也可以走 高级模式。 一图看懂 ┌──────────────────────────────────────────────────────────┐ │ 系统托盘 ┌───┐ │ │ │ ⚡ │ ← 右键点这里 │ │ └───┘ │ │ × API Key：未配置 │ │ × 连接：需先配置 Key │ │ ───────────────── │ │ 切换模型 · DeepSeek · pro ← 厂商 → 具体型号 │ │ ───────────────── │ │ 常用 │ │ 设置… │ │ 重新同步配置 / 修复 Computer Use / 检测连接… │ │ 更多 → 配置文件夹、切回 OpenAI 官方… │ │ ───────────────── │ │ 退出 Codex Helper │ └───────────────────────────────────────────
| Stars | 146 |
| Forks | 2 |
| Language | Rust |
| Category | Codex Skill |
| Quality Score | 61.0548427080913/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-10 |
| Created | 2026-06-03 |
| Platforms | codex, rust |
| Est. Tokens | ~88k |
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codex-helper is Windows / macOS 轻量托盘·菜单栏代理，让 Codex Desktop 一键切换 DeepSeek、千问、智谱、Kimi、MiniMax 等国产大模型。本地 Responses↔Chat 转译，开箱即用。. It is categorized as a Codex Skill with 146 GitHub stars.
codex-helper is primarily written in Rust. It covers topics such as codex, deepseek, macos.
You can find installation instructions and usage details in the codex-helper GitHub repository at github.com/xqnode/codex-helper. The project has 146 stars and 2 forks, indicating an active community.
The top alternatives to codex-helper on Agent Skills Hub include code-notify, Overture, agnix. 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: