Cloudflare Tunnel logo

Cloudflare Tunnel

Organization
vm0-ai
cloudflare-tunnel

Cloudflare Tunnel API for secure tunnels. Use when user mentions "Cloudflare tunnel", "argo tunnel", or secure connectivity.

Overview

Publishervm0-ai
Repositoryvm0-skills
Skill namecloudflare-tunnel
Stars
76
Forks
18
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by vm0-ai on GitHub. Read the source before you install it.

Installation

Install the Cloudflare Tunnel AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vm0-ai/vm0-skills.git /tmp/vm0-skills
mkdir -p .claude/skills
cp -r /tmp/vm0-skills/cloudflare-tunnel .claude/skills/cloudflare-tunnel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cloudflare Tunnel in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cloudflare Tunnel on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cloudflare Tunnel is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Usage

Basic curl Request

Add two headers to authenticate through Cloudflare Access:

bash
curl -s \
  -H "CF-Access-Client-Id: $CF_ACCESS_CLIENT_ID" \
  -H "CF-Access-Client-Secret: $CF_ACCESS_CLIENT_SECRET" \
  "https://your-protected-service.example.com/api/endpoint"

With Additional Authentication

Many services require both Cloudflare Access AND their own authentication:

bash
curl -s \
  -H "CF-Access-Client-Id: $CF_ACCESS_CLIENT_ID" \
  -H "CF-Access-Client-Secret: $CF_ACCESS_CLIENT_SECRET" \
  -H "Authorization: Bearer $API_TOKEN" \
  "https://your-protected-service.example.com/api/endpoint"

With Basic Auth

bash
curl -s \
  -H "CF-Access-Client-Id: $CF_ACCESS_CLIENT_ID" \
  -H "CF-Access-Client-Secret: $CF_ACCESS_CLIENT_SECRET" \
  -u "username:password" \
  "https://your-protected-service.example.com/api/endpoint"

POST Request with JSON Body

Write to /tmp/request.json:

json
{
  "key": "value"
}

Then run:

bash
curl -s -X POST \
  -H "CF-Access-Client-Id: $CF_ACCESS_CLIENT_ID" \
  -H "CF-Access-Client-Secret: $CF_ACCESS_CLIENT_SECRET" \
  -H "Content-Type: application/json" \
  -d @/tmp/request.json \
  "https://your-protected-service.example.com/api/endpoint"

Download File

bash
curl -s -o /tmp/output.file \
  -H "CF-Access-Client-Id: $CF_ACCESS_CLIENT_ID" \
  -H "CF-Access-Client-Secret: $CF_ACCESS_CLIENT_SECRET" \
  "https://your-protected-service.example.com/file"

Skip SSL Verification (Self-signed certs)

Add -k flag for services with self-signed certificates:

bash
curl -k -s \
  -H "CF-Access-Client-Id: $CF_ACCESS_CLIENT_ID" \
  -H "CF-Access-Client-Secret: $CF_ACCESS_CLIENT_SECRET" \
  "https://your-protected-service.example.com/api/endpoint"

Required Headers

HeaderValueDescription
CF-Access-Client-Id<client-id>.accessService Token Client ID
CF-Access-Client-Secret<secret>Service Token Client Secret

Common Errors

ErrorCauseSolution
403 ForbiddenInvalid or missing headersCheck Client ID and Secret
403 ForbiddenToken not in Access policyAdd token to application's Access policy
401 UnauthorizedService's own auth failedCheck service-specific credentials
Connection refusedTunnel not runningVerify cloudflared is running

Tips

  1. Header order doesn't matter - CF headers can be anywhere in the request
  2. Works with any HTTP method - GET, POST, PUT, DELETE, etc.
  3. Combine with other auth - CF Access + Basic Auth, Bearer Token, etc.
  4. Token rotation - Rotate secrets periodically in Zero Trust dashboard

API Reference

Frequently asked questions

What does the Cloudflare Tunnel AI skill do?

Cloudflare Tunnel API for secure tunnels. Use when user mentions "Cloudflare tunnel", "argo tunnel", or secure connectivity.

Why use Cloudflare Tunnel on TypingMind?

Because you install it once and use it with any model. Cloudflare Tunnel is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cloudflare Tunnel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vm0-ai/vm0-skills/tree/main/cloudflare-tunnel. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cloudflare Tunnel?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cloudflare Tunnel?

As many as you like. As long as a model supports skills, you can use Cloudflare Tunnel with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cloudflare Tunnel AI skill free?

It is published on GitHub by vm0-ai. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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