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Http Request

Community
EXboys
http-request

发起 HTTP 网络请求,支持 GET、POST、PUT、DELETE、PATCH 方法。当用户需要调用 API、获取网页内容、发送数据到服务器时使用。

Overview

PublisherEXboys
Repositoryevotown
Skill namehttp-request
Stars
647
Forks
65
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by EXboys on GitHub. Read the source before you install it.

Installation

Install the Http Request 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/EXboys/evotown/tree/main/backend/arena_skills/http-request
  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/EXboys/evotown.git /tmp/evotown
mkdir -p .claude/skills
cp -r /tmp/evotown/backend/arena_skills/http-request .claude/skills/http-request
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Http Request 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 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 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 Skill

一个通用的 HTTP 网络请求技能,支持常见的 RESTful API 调用。

功能特性

  • 支持 GET、POST、PUT、DELETE、PATCH 方法
  • 支持自定义请求头
  • 支持 JSON 请求体
  • 支持 URL 查询参数
  • 支持超时设置
  • 旧版 SSL 兼容:支持连接使用旧版 TLS 的服务器(如部分政府/教育网站)
  • 浏览器级 User-Agent:减少 503/反爬拦截
  • Wikipedia/Wikimedia 合规:访问 wikipedia.org / wikimedia.org / wikidata.org 时自动使用合规 User-Agent(否则易 403),并加 1.5 秒间隔降低限流
  • 自动重试:对 502/503/504 自动重试 2 次
  • HTML→Markdown:网页响应自动转为 Markdown(默认),降低 token 消耗

使用示例

GET 请求

json
{
  "url": "https://httpbin.org/get",
  "method": "GET",
  "params": {"name": "test"}
}

POST 请求

json
{
  "url": "https://httpbin.org/post",
  "method": "POST",
  "headers": {"Content-Type": "application/json"},
  "body": {"message": "hello world"}
}

天气查询(推荐 Open-Meteo,免费无 key)

json
{
  "url": "https://api.open-meteo.com/v1/forecast",
  "method": "GET",
  "params": {
    "latitude": 18.7883,
    "longitude": 98.9853,
    "daily": "temperature_2m_max,temperature_2m_min,weathercode",
    "timezone": "Asia/Bangkok",
    "forecast_days": 2
  }
}

清迈坐标 18.7883,98.9853。返回 JSON 含 daily.time、temperature_2m_max/min、weathercode。

wttr.in 亦可用:https://wttr.in/Chiang_Mai?format=j1,skill 会自动用 curl UA 以获取 JSON。

Wikipedia 获取城市/地点摘要(推荐,限流较宽松)

json
{
  "url": "https://en.wikipedia.org/api/rest_v1/page/summary/Chiang_Mai",
  "method": "GET"
}

或 .../page/summary/Bangkok。返回 JSON 含 extract、description、title 等。

Wikipedia 搜索 API(params 可用 q,skill 会自动转为 action=query&list=search)

json
{
  "url": "https://en.wikipedia.org/w/api.php",
  "method": "GET",
  "params": {"q": "Chiang Mai tourism"}
}

Runtime

yaml
entry_point: scripts/main.py
language: python
network:
  enabled: true
  outbound:
    - "*:80"
    - "*:443"
  block_private_ips: false
input_schema:
  type: object
  properties:
    url:
      type: string
      description: 请求的完整 URL
    method:
      type: string
      description: HTTP 请求方法
      enum:
        - GET
        - POST
        - PUT
        - DELETE
        - PATCH
      default: GET
    headers:
      type: object
      description: 自定义请求头
      additionalProperties:
        type: string
    body:
      type: object
      description: 请求体数据,用于 POST/PUT/PATCH,将以 JSON 格式发送
    params:
      type: object
      description: URL 查询参数
      additionalProperties: true
    timeout:
      type: number
      description: 请求超时时间(秒),默认 30 秒
      default: 30
    use_legacy_ssl:
      type: boolean
      description: 是否启用旧版 SSL 兼容(连接 cscse.edu.cn、lxgz.org.cn 等旧服务器时需 true)
      default: true
    extract_mode:
      type: string
      description: HTML 响应提取模式,markdown=转为 Markdown(默认),text=纯文本,raw=原始 HTML
      enum:
        - markdown
        - text
        - raw
      default: markdown
  required:
    - url

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Http Request AI skill do?

发起 HTTP 网络请求,支持 GET、POST、PUT、DELETE、PATCH 方法。当用户需要调用 API、获取网页内容、发送数据到服务器时使用。

Why use Http Request on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EXboys/evotown/tree/main/backend/arena_skills/http-request. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Http Request?

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?

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

Is the Http Request AI skill free?

Yes. It is published on GitHub by EXboys 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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