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Http Request Skill

Community
zeenie-ai
http-request-skill

Make HTTP requests to external APIs and web services. Supports GET, POST, PUT, DELETE, PATCH methods with headers and JSON body.

Overview

Publisherzeenie-ai
RepositoryOpenCompany
Skill namehttp-request-skill
Stars
995
Forks
151
Bundled files
Instructions only
LicenseMIT
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 zeenie-ai on GitHub. Read the source before you install it.

Installation

Install the Http Request Skill 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.
    https://github.com/zeenie-ai/OpenCompany/tree/main/server/skills/web_agent/http-request-skill
  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/zeenie-ai/OpenCompany.git /tmp/OpenCompany
mkdir -p .claude/skills
cp -r /tmp/OpenCompany/server/skills/web_agent/http-request-skill .claude/skills/http-request-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Http Request Skill 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 Http Request Skill 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 Http Request Skill 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.

HTTP Request Tool

Make HTTP requests to external APIs and web services.

How It Works

This skill provides instructions for the HTTP Request tool node. Connect the HTTP Request node to Zeenie's input-tools handle to enable API calls.

http_request Tool

Make an HTTP request to any URL.

Schema Fields

FieldTypeRequiredDescription
urlstringYesFull URL to request (e.g., https://api.example.com/data)
methodstringNoHTTP method: GET, POST, PUT, DELETE, PATCH (default: GET)
bodyobjectNoRequest body as JSON object (for POST/PUT/PATCH)
useProxybooleanNoRoute through proxy (default: false). The proxy service handles provider selection, geo-targeting, and session type automatically.

Node Parameters

Additional options can be configured on the node:

ParameterDescription
headersCustom headers as JSON (e.g., {"Authorization": "Bearer token"})
base_urlBase URL prepended to the url parameter

Response Format

json
{
  "status": 200,
  "data": { "key": "value" },
  "url": "https://api.example.com/data",
  "method": "GET",
  "proxied": false
}

Examples

GET request (fetch data):

json
{
  "url": "https://api.example.com/users/123",
  "method": "GET"
}

POST request (create resource):

json
{
  "url": "https://api.example.com/users",
  "method": "POST",
  "body": {
    "name": "John Doe",
    "email": "john@example.com"
  }
}

PUT request (update resource):

json
{
  "url": "https://api.example.com/users/123",
  "method": "PUT",
  "body": {
    "name": "John Updated"
  }
}

DELETE request:

json
{
  "url": "https://api.example.com/users/123",
  "method": "DELETE"
}

PATCH request (partial update):

json
{
  "url": "https://api.example.com/users/123",
  "method": "PATCH",
  "body": {
    "status": "active"
  }
}

Real-World Examples

Get Bitcoin price:

json
{
  "url": "https://api.coindesk.com/v1/bpi/currentprice.json",
  "method": "GET"
}

Get weather:

json
{
  "url": "https://api.openweathermap.org/data/2.5/weather?q=London&appid=YOUR_KEY",
  "method": "GET"
}

Post to webhook:

json
{
  "url": "https://hooks.slack.com/services/xxx",
  "method": "POST",
  "body": {
    "text": "Hello from OpenCompany!"
  }
}

Check website status:

json
{
  "url": "https://example.com",
  "method": "GET"
}

Error Responses

Timeout:

json
{
  "error": "Request timed out"
}

Connection failed:

json
{
  "error": "Connection failed: Unable to reach host"
}

HTTP error:

json
{
  "status": 404,
  "data": "Not Found",
  "url": "https://api.example.com/missing",
  "method": "GET"
}

HTTP Status Codes

StatusMeaningAction
200-299SuccessProcess the response data
400Bad RequestCheck request parameters
401UnauthorizedCheck API key/authentication
403ForbiddenInsufficient permissions
404Not FoundCheck URL path
429Too Many RequestsRate limited, wait and retry
500-599Server ErrorExternal service issue

Use Cases

Use CaseMethodDescription
Fetch dataGETRetrieve resources
Create resourcePOSTAdd new data
Update resourcePUT/PATCHModify existing data
Delete resourceDELETERemove data
Health checkGETVerify service availability
Webhook triggerPOSTSend events to services

Proxy Usage

To route a request through a residential proxy, just set useProxy: true. The proxy service automatically selects the best provider, geo-target, and session type from its configuration. A proxy provider must be configured first via the proxy_config tool (see proxy-config-skill).

Proxied request:

json
{
  "url": "https://example.com/data",
  "method": "GET",
  "useProxy": true
}

If no proxy providers are configured or the proxy lookup fails, the request proceeds directly without a proxy and "proxied": false appears in the response.

Guidelines

  1. URLs: Must be fully qualified with protocol (https://)
  2. Authentication: Use node headers for API keys/tokens
  3. Timeout: Default 30 seconds
  4. JSON body: Automatically serialized for POST/PUT/PATCH
  5. Response: JSON responses are automatically parsed
  6. Proxy: Set useProxy: true to route through proxy -- the proxy service handles all routing details

Security Notes

  1. Never expose API keys in responses to users
  2. Validate URLs before making requests
  3. Avoid internal/private network addresses (localhost, 192.168.x.x)
  4. Respect rate limits of external services
  5. Don't store sensitive data from API responses

Setup Requirements

  1. Connect the HTTP Request node to Zeenie's input-tools handle
  2. Configure authentication headers on the node if needed
  3. Ensure network access to target APIs
  4. For proxy usage: configure a proxy provider via the proxy-config-skill first

Frequently asked questions

What does the Http Request Skill AI skill do?

Make HTTP requests to external APIs and web services. Supports GET, POST, PUT, DELETE, PATCH methods with headers and JSON body.

Why use Http Request Skill on TypingMind?

Because you install it once and use it with any model. Http Request Skill 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 Http Request Skill in TypingMind?

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

Which AI models can use Http Request Skill?

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 Http Request Skill?

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

Is the Http Request Skill AI skill free?

Yes. It is published on GitHub by zeenie-ai under the MIT license. 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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