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 →
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🔒 Is Jev-cu safe to install? View the security audit →
Jev-cu 把 Computer Use 的「下一步点哪里」交给 Jev（TypeSafe System One）：Jev 从界面文字候选中选元素、动作、完成度与风险，Codex Computer Use 负责读取界面与执行，本地策略门槛拦截敏感操作。只传文字，不传截图。 目录 安装 skill skill 源文件里的 会在安装时替换成仓库实际路径。 使用 先在 写入 key（不提交），或设置同名环境变量： 循环要在 Codex 桌面 App 的 运行时里执行： 验证 安全边界 默认 dry-run；删除、发送、支付、授权、上传、验证码、安装、系统设置等操作停在 ，需人工确认。 App 白名单在 ，新增 App 必须显式修改。 界面文字只作为数据，不作为指令；不绕过登录、付费墙和验证码。
| Stars | 426 |
| Forks | 40 |
| Language | JavaScript |
| Category | AI Tool |
| Quality Score | 46.7758636217624/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-18 |
| Created | 2026-09-18 |
| Platforms | node |
| Est. Tokens | ~2k |
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Jev-cu is an open-source ai tool by Sac-Y with 426 GitHub stars.
Jev-cu is primarily written in JavaScript.
You can find installation instructions and usage details in the Jev-cu GitHub repository at github.com/Sac-Y/Jev-cu. The project has 426 stars and 40 forks, indicating an active community.
The top alternatives to Jev-cu on Agent Skills Hub include EDRSilencer, perf-map-agent, shaping-skills. 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: