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Built for the Claude Code community with Claude Code by @mertduzgun

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Qiaomu Opencli Oneshot

joeseesun/opencli-skill
469 installs918 stars
Summary

This is a focused workflow for generating a single OpenCLI command when you know exactly what you want to scrape. You give it a URL and a one-liner goal, then follow four steps: open the page, capture the API call via network inspection, write a TypeScript adapter using one of the provided templates (cookie-based, header-based, or intercept mode), and test it. The skill includes a decision tree for figuring out which auth strategy you need based on whether a simple fetch works, whether you need credentials or custom headers, or whether you have to intercept browser requests. If you're building out a full site integration or exploring multiple endpoints, the author points you to opencli-explorer instead. This is the speedrun version.

Install to Claude Code

npx -y skills add joeseesun/opencli-skill --skill qiaomu-opencli-oneshot --agent claude-code

Installs into .claude/skills of the current project.

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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
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Files
SKILL.mdView on GitHub

CLI-ONESHOT — 单点快速 CLI 生成

给一个 URL + 一句话描述,4 步生成一个 CLI 命令。 完整探索式开发请看 opencli-explorer skill。


输入

项目示例
URLhttps://x.com/jakevin7/lists
Goal获取我的 Twitter Lists

流程

Step 1: 打开页面 + 抓包

1. browser_navigate → 打开目标 URL
2. 等待 3-5 秒(让页面加载完、API 请求触发)
3. browser_network_requests → 筛选 JSON API

关键:只关注返回 application/json 的请求,忽略静态资源。 如果没有自动触发 API,手动点击目标按钮/标签再抓一次。

Step 2: 锁定一个接口

从抓包结果中找到那个目标 API。看这几个字段:

字段关注什么
URLAPI 路径 pattern(如 /i/api/graphql/xxx/ListsManagePinTimeline)
MethodGET / POST
Headers有 Cookie? Bearer? CSRF? 自定义签名?
Response数据在哪个路径(如 data.list.lists)

Step 3: 验证接口能复现

在 browser_evaluate 中用 fetch 复现请求:

// Tier 2 (Cookie): 大多数情况
fetch('/api/endpoint', { credentials: 'include' }).then(r => r.json())

// Tier 3 (Header): 如 Twitter 需要额外 header
const ct0 = document.cookie.match(/ct0=([^;]+)/)?.[1];
fetch('/api/endpoint', {
  headers: { 'Authorization': 'Bearer ...', 'X-Csrf-Token': ct0 },
  credentials: 'include'
}).then(r => r.json())

如果 fetch 能拿到数据 → 用 TS adapter(cli() pipeline 或 func())。 如果 fetch 拿不到(签名/风控)→ 用 intercept 策略(TS func() + installInterceptor)。

Step 4: 套模板,生成 adapter

根据 Step 3 判定的策略,选一个模板生成文件。


认证速查

fetch(url) 直接能拿到?              → Tier 1: public   (TS pipeline, browser: false)
fetch(url, {credentials:'include'})? → Tier 2: cookie   (TS pipeline 或 func())
加 Bearer/CSRF header 后拿到?        → Tier 3: header   (TS func())
都不行,但页面自己能请求成功?          → Tier 4: intercept (TS func(), installInterceptor)

模板

TS — Cookie/Public(最简,func() 模式)

// clis/<site>/<name>.ts
import { cli, Strategy } from '@jackwener/opencli/registry';

cli({
  site: 'mysite',
  name: 'mycommand',
  description: '一句话描述',
  domain: 'www.example.com',
  strategy: Strategy.COOKIE,   // 或 Strategy.PUBLIC (加 browser: false)
  browser: true,
  args: [
    { name: 'limit', type: 'int', default: 20 },
  ],
  columns: ['rank', 'title', 'value'],
  func: async (page, kwargs) => {
    await page.goto('https://www.example.com/target-page');
    const data = await page.evaluate(`(async () => {
      const res = await fetch('/api/target', { credentials: 'include' });
      const d = await res.json();
      return (d.data?.items || []).map(item => ({
        title: item.title,
        value: item.value,
      }));
    })()`);
    return (data as any[]).slice(0, kwargs.limit).map((item, i) => ({
      rank: i + 1,
      title: item.title || '',
      value: item.value || '',
    }));
  },
});

TS — Intercept(抓包模式)

// clis/<site>/<name>.ts
import { cli, Strategy } from '@jackwener/opencli/registry';

cli({
  site: 'mysite',
  name: 'mycommand',
  description: '一句话描述',
  domain: 'www.example.com',
  strategy: Strategy.INTERCEPT,
  browser: true,
  args: [
    { name: 'limit', type: 'int', default: 20 },
  ],
  columns: ['rank', 'title', 'value'],
  func: async (page, kwargs) => {
    // 1. 导航
    await page.goto('https://www.example.com/target-page');
    await page.wait(3);

    // 2. 注入拦截器(URL 子串匹配)
    await page.installInterceptor('target-api-keyword');

    // 3. 触发 API(滚动/点击)
    await page.autoScroll({ times: 2, delayMs: 2000 });

    // 4. 读取拦截的响应
    const requests = await page.getInterceptedRequests();
    if (!requests?.length) return [];

    let results: any[] = [];
    for (const req of requests) {
      const items = req.data?.data?.items || [];
      results.push(...items);
    }

    return results.slice(0, kwargs.limit).map((item, i) => ({
      rank: i + 1,
      title: item.title || '',
      value: item.value || '',
    }));
  },
});

TS — Header(如 Twitter GraphQL)

import { cli, Strategy } from '@jackwener/opencli/registry';

cli({
  site: 'twitter',
  name: 'mycommand',
  description: '一句话描述',
  domain: 'x.com',
  strategy: Strategy.HEADER,
  browser: true,
  args: [
    { name: 'limit', type: 'int', default: 20 },
  ],
  columns: ['rank', 'name', 'value'],
  func: async (page, kwargs) => {
    await page.goto('https://x.com');
    const data = await page.evaluate(`(async () => {
      const ct0 = document.cookie.match(/ct0=([^;]+)/)?.[1];
      if (!ct0) return { error: 'Not logged in' };
      const bearer = 'AAAAAAAAAAAAAAAAAAAAANRILgAAAAAAnNwIzUejRCOuH5E6I8xnZz4puTs%3D...';
      const res = await fetch('/i/api/graphql/QUERY_ID/Endpoint', {
        headers: {
          'Authorization': 'Bearer ' + decodeURIComponent(bearer),
          'X-Csrf-Token': ct0,
          'X-Twitter-Auth-Type': 'OAuth2Session',
        },
        credentials: 'include',
      });
      return res.json();
    })()`);
    // 解析 data...
    return [];
  },
});

测试(必做)

npm run build                              # 语法检查
opencli list | grep mysite                 # 确认注册
opencli mysite mycommand --limit 3 -v      # 实际运行

就这样,没了

写完文件 → build → run → 提交。有问题再看 opencli-explorer skill。

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Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
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First SeenJun 3, 2026
View on GitHub

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