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by ZaneL1u · Claude Skill · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cloud-cli-proxy safe to install? View the security audit →
Cloud CLI Proxy 一个更聪明的 Claude Code Wrapper。把 Claude Code 装进容器,让你看起来像个地地道道的美国开发者。 English | 文档 解决什么问题? Claude Code 好用,但风控越来越严。IP 不对、环境特征像 VPS、遥测数据出卖你——封号只是时间问题。 Cloud CLI Proxy 做的事情很简单:把你的 Claude Code 包装成一个坐在洛杉矶家里用 Windows 电脑的普通美国人。 从 IP 到系统指纹到 TLS 握手,每一层都做了伪装。Anthropic 看到的就是一个正常的美国住宅用户,不是什么奇奇怪怪的云服务。 部署在你自己的机器上,SSH 进去就直接写代码。本地的项目目录会自动挂载到容器里,路径一模一样——你用 Claude Code 的感觉跟本地跑没有任何区别。 它怎么做到的? 身份伪装 这套伪装不是装个代理就完事的。Claude Code 会从多个维度判断你在哪、用什么机器: 系统指纹替换 — CPU 型号伪装成 AMD EPYC,MAC 地址、machine-id 全部重写。、、 这些命令的输出也被拦截篡改过,Claude Code 读到的是我们想让它看到的 Windows 主机名 — 自动生成 或 ,就是普通人家里的电脑命名 容器痕迹擦除 — 删了,cgroup 里的 docker/containerd 字符串过滤掉,常规的容器检测手段扫不出来 时区与语言 —
| Stars | 56 |
| Forks | 14 |
| Language | Go |
| Category | Claude Skill |
| Quality Score | 62.8215258813817/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-30 |
| Created | 2026-03-29 |
| Platforms | claude-code, cli, go |
| Est. Tokens | ~16k |
These tools work well together with cloud-cli-proxy for enhanced workflows:
Looking for a cloud-cli-proxy alternative? If you're comparing cloud-cli-proxy with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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cloud-cli-proxy is 更强大的 Claude Code Wrapper,通过容器化将你包装成一个地地道道的美国人,从根源上规避 Claude Code 风控。. It is categorized as a Claude Skill with 56 GitHub stars.
cloud-cli-proxy is primarily written in Go. It covers topics such as claude-code, cloud-cli-proxy, ssh.
You can find installation instructions and usage details in the cloud-cli-proxy GitHub repository at github.com/ZaneL1u/cloud-cli-proxy. The project has 56 stars and 14 forks, indicating an active community.
The top alternatives to cloud-cli-proxy on Agent Skills Hub include deepcontext-mcp, claude-gemini-mcp-slim, claudex. 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: