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Agent Skill · 前端设计

mhr-cfw-domain-fronting-relay(mhr cfw 域前置中继)

mhr-cfw-domain-fronting-relay 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

mhr-cfw-domain-fronting-relay 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有未通过项,按安装量在前端设计类的 10,216 个 Skill 里排第 4,870。

总安装 783周安装 32GitHub Stars 39下载 253核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:mhr-cfw-domain-fronting-relay(mhr cfw 域前置中继)
来源仓库:https://github.com/aradotso/trending-skills
仓库路径:skills/mhr-cfw-domain-fronting-relay
安装命令:
npx skills add https://github.com/aradotso/trending-skills --skill mhr-cfw-domain-fronting-relay
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/aradotso/trending-skills --skill mhr-cfw-domain-fronting-relay

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

mhr-cfw-domain-fronting-relay 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。

适用于域前置中继、网络代理和前端设计等前端设计类任务。支持仓库状态查询、代码变更分析和协作事项整理。

安装命令:npx skills add https://github.com/aradotso/trending-skills --skill mhr-cfw-domain-fronting-relay 建议确认权限范围和维护状态,注意是否会触发命令执行或文件读写操作。

来源仓库内路径:skills/mhr-cfw-domain-fronting-relay

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/aradotso/trending-skills --skill mhr-cfw-domai…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

mhr-cfw-domain-fronting-relay 怎么安装?

在终端执行 npx skills add https://github.com/aradotso/trending-skills --skill mhr-cfw-domain-fronting…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

mhr-cfw-domain-fronting-relay 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

mhr-cfw-domain-fronting-relay 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

mhr-cfw-domain-fronting-relay 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

mhr-cfw-domain-fronting-relay 用的人多吗?

公开数据是累计安装 783 次,近一周安装 32 次,下载 253 次,GitHub 39 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

mhr-cfw-domain-fronting-relay 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
mhr-cfw-domain-fronting-relay

mhr cfw 域前置中继 · 本页

78339接触敏感数据未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

MHR-CFW Domain-Fronting Relay

Skill by ara.so — Daily 2026 Skills collection.

MHR-CFW (MasterHttpRelay + Cloudflare Worker) is a Python-based domain-fronting relay that routes HTTP/SOCKS5 proxy traffic through Google Apps Script (GAS) and Cloudflare Workers. Network DPI filters see only traffic to www.google.com, while the actual destination is hidden inside the relay chain.

Traffic Flow

Client → Local Proxy (127.0.0.1:8085)
           ↓
       Google IP (216.239.38.120) — DPI sees www.google.com
           ↓
       Google Apps Script Web App (Relay)
           ↓
       Cloudflare Worker
           ↓
       Target Website

Installation

git clone https://github.com/denuitt1/mhr-cfw.git
cd mhr-cfw
pip install -r requirements.txt

If PyPI is blocked:

pip install -r requirements.txt \
  -i https://mirror-pypi.runflare.com/simple/ \
  --trusted-host mirror-pypi.runflare.com

Full Setup Guide

Step 1: Deploy the Cloudflare Worker

  1. Log in to Cloudflare Dashboard
  2. Navigate to Compute > Workers & Pages
  3. Click Create Application → Start with Hello World → Deploy
  4. Click Edit code, delete all default code
  5. Paste the contents of script/worker.js from the repo
  6. Edit the worker URL constant: const WORKER_URL = "your-worker-name.workers.dev";
  7. Click Deploy — note your worker URL (e.g., your-worker-name.workers.dev)

Step 2: Deploy the Google Apps Script Relay

  1. Go to script.google.com and create a New project
  2. Delete all default code
  3. Paste the contents of script/Code.gs from the repo
  4. Edit these two constants at the top: const AUTH_KEY = "your-secret-password-here"; // choose a strong password const WORKER_URL = "https://your-worker-name.workers.dev";
  5. Click Deploy → New deployment

- Type: Web app - Execute as: Me - Who has access: Anyone

  1. Click Deploy and copy the Deployment ID (long random string like AKfycb...)

Step 3: Configure config.json

cp config.example.json config.json

Edit config.json:

{
  "mode": "apps_script",
  "google_ip": "216.239.38.120",
  "front_domain": "www.google.com",
  "script_id": "AKfycbXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX",
  "auth_key": "your-secret-password-here",
  "listen_host": "127.0.0.1",
  "listen_port": 8085,
  "socks5_enabled": true,
  "socks5_port": 1080,
  "log_level": "INFO",
  "verify_ssl": true
}
FieldDescription
modeAlways "apps_script" for GAS relay
google_ipIP of Google's infrastructure for fronting
front_domainDomain shown to DPI (www.google.com)
script_idYour GAS Deployment ID from Step 2
auth_keyMust match AUTH_KEY in Code.gs
listen_hostLocal bind address (keep 127.0.0.1)
listen_portHTTP proxy port (default 8085)
socks5_enabledEnable SOCKS5 proxy on socks5_port
socks5_portSOCKS5 proxy port (default 1080)
log_levelDEBUG, INFO, WARNING, ERROR
verify_sslVerify SSL certs; set false to skip

Step 4: Run the Proxy

Linux/macOS:

bash start.sh
# or
python3 main.py

Windows:

start.bat

Expected output:

[INFO] HTTP proxy running on 127.0.0.1:8085
[INFO] SOCKS5 proxy running on 127.0.0.1:1080

Using the Proxy

Browser via FoxyProxy

Install FoxyProxy:

Configure FoxyProxy:

  • Proxy Type: HTTP or SOCKS5
  • Host: 127.0.0.1
  • Port: 8085 (HTTP) or 1080 (SOCKS5)

curl (HTTP proxy)

curl -x http://127.0.0.1:8085 https://ipleak.net/json/

curl (SOCKS5 proxy)

curl --socks5 127.0.0.1:1080 https://ipleak.net/json/

Python requests

import requests

proxies = {
    "http": "http://127.0.0.1:8085",
    "https": "http://127.0.0.1:8085",
}

response = requests.get("https://ipleak.net/json/", proxies=proxies)
print(response.json())

Python with SOCKS5

import requests

proxies = {
    "http": "socks5://127.0.0.1:1080",
    "https": "socks5://127.0.0.1:1080",
}

response = requests.get("https://ipleak.net/json/", proxies=proxies)
print(response.json())

Configuration Patterns

Minimal config (HTTP only, no SOCKS5)

{
  "mode": "apps_script",
  "google_ip": "216.239.38.120",
  "front_domain": "www.google.com",
  "script_id": "YOUR_DEPLOYMENT_ID",
  "auth_key": "YOUR_AUTH_KEY",
  "listen_host": "127.0.0.1",
  "listen_port": 8085,
  "socks5_enabled": false,
  "log_level": "INFO",
  "verify_ssl": true
}

Debug config (verbose logging, skip SSL verification)

{
  "mode": "apps_script",
  "google_ip": "216.239.38.120",
  "front_domain": "www.google.com",
  "script_id": "YOUR_DEPLOYMENT_ID",
  "auth_key": "YOUR_AUTH_KEY",
  "listen_host": "127.0.0.1",
  "listen_port": 8085,
  "socks5_enabled": true,
  "socks5_port": 1080,
  "log_level": "DEBUG",
  "verify_ssl": false
}

Listen on all interfaces (for LAN sharing)

{
  "listen_host": "0.0.0.0",
  "listen_port": 8085
}
⚠️ Only use 0.0.0.0 on trusted networks. Anyone on the LAN can use your proxy.

Cloudflare Worker (script/worker.js) — Key Structure

// The worker receives proxied requests and forwards them to the target
const WORKER_URL = "your-worker-name.workers.dev"; // set this to your own worker

addEventListener("fetch", event => {
  event.respondWith(handleRequest(event.request));
});

The worker:

  • Receives requests from GAS relay
  • Extracts the target URL from the request
  • Fetches the target on behalf of the client
  • Returns the response back through the chain

Google Apps Script (script/Code.gs) — Key Structure

const AUTH_KEY = "your-secret-password-here";      // must match config.json auth_key
const WORKER_URL = "https://your-worker.workers.dev";

function doPost(e) {
  // Validates AUTH_KEY, extracts target URL, forwards via WORKER_URL
}

The GAS relay:

  • Exposes a public HTTPS endpoint (/exec) that acts as the domain-fronted relay
  • Validates AUTH_KEY on every request
  • Forwards validated requests to your Cloudflare Worker

Verifying It Works

After starting the proxy and configuring your browser:

  1. Visit ipleak.net — your IP should show as a Cloudflare IP
  2. Visit whoer.net — should reflect Cloudflare's location
  3. Via curl: curl -x http://127.0.0.1:8085 https://ipleak.net/json/ | python3 -m json.tool Look for "ip" showing a Cloudflare address range.

Troubleshooting

Proxy starts but no traffic gets through

  • Verify script_id in config.json is the Deployment ID, not the Script ID
  • Re-check that auth_key in config.json exactly matches AUTH_KEY in Code.gs
  • In GAS, confirm deployment is set to Execute as: Me and Who has access: Anyone
  • Try redeploying the GAS app — old deployments sometimes break

SSL errors

"verify_ssl": false

Set to false temporarily to diagnose. Re-enable for production use.

pip install fails (PyPI blocked)

pip install -r requirements.txt \
  -i https://mirror-pypi.runflare.com/simple/ \
  --trusted-host mirror-pypi.runflare.com

GAS quota exceeded

Google Apps Script has daily quotas (~20,000 URL fetch calls/day for free accounts). If the relay stops working mid-day:

  • Use a different Google account for a fresh GAS deployment
  • Deploy multiple GAS relays and alternate script_id values

Port already in use

{
  "listen_port": 8086,
  "socks5_port": 1081
}

Change ports in config.json and update your browser/FoxyProxy settings.

Cloudflare Worker errors (5xx)

  • Check the worker is deployed and the WORKER_URL in Code.gs matches exactly
  • Visit https://your-worker.workers.dev directly in browser — should respond (even with an error page) rather than timeout
  • Check Cloudflare Worker logs in the dashboard under Workers & Pages > your worker > Logs

Debug logging

"log_level": "DEBUG"

Restart main.py — you'll see each relay hop logged to stdout.


Environment Variable Pattern for Automation

When scripting deployment or CI, avoid hardcoding secrets. Use environment variables and generate config dynamically:

import json
import os

config = {
    "mode": "apps_script",
    "google_ip": "216.239.38.120",
    "front_domain": "www.google.com",
    "script_id": os.environ["GAS_DEPLOYMENT_ID"],
    "auth_key": os.environ["MHR_AUTH_KEY"],
    "listen_host": "127.0.0.1",
    "listen_port": int(os.environ.get("MHR_PORT", "8085")),
    "socks5_enabled": True,
    "socks5_port": 1080,
    "log_level": os.environ.get("MHR_LOG_LEVEL", "INFO"),
    "verify_ssl": True
}

with open("config.json", "w") as f:
    json.dump(config, f, indent=2)

print("config.json written")

Then run:

export GAS_DEPLOYMENT_ID="AKfycbXXXXXXXXXXXXXX"
export MHR_AUTH_KEY="$(openssl rand -hex 32)"
python3 write_config.py
python3 main.py

Project File Reference

FilePurpose
main.pyEntry point — starts HTTP and SOCKS5 proxy listeners
config.jsonRuntime configuration (copy from config.example.json)
config.example.jsonTemplate configuration with placeholder values
script/worker.jsCloudflare Worker source — deploy to Cloudflare
script/Code.gsGoogle Apps Script relay source — deploy to GAS
start.batWindows launcher
start.shLinux/macOS launcher
requirements.txtPython dependencies

平台分布

Codex

39.8%
按下载量换算101

Claude

28.29%
按下载量换算72

Cursor

18.38%
按下载量换算47

Gemini CLI

9.55%
按下载量换算24

安全审计

Gen Agent Trust Hub

未通过

Socket

可疑

Snyk

未通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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