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cf-browsercf 浏览器

Agent Skill

cf-browser 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。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。

总安装

242

周安装

10

GitHub Stars

公开资料未说明

下载量

79
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:cf-browser(cf 浏览器)
来源仓库:https://github.com/rarestg/rarestg-skills
仓库路径:skills/cf-browser
安装命令:
npx skills add https://github.com/rarestg/rarestg-skills --skill cf-browser
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/rarestg/rarestg-skills --skill cf-browser

简介

cf-browser 用于处理浏览器自动化、网页检查和页面信息提取,适合在 Codex、Claude、Cursor、Gemini CLI 中需要让 Agent 打开页面、读取网页或验证前端流程时使用。

  • 它通过 Cloudflare Browser Rendering REST API 实现网页浏览与抓取,每调用均为单一 POST 请求。
  • 使用前需设置 CF_ACCOUNT_ID 和 CF_API_TOKEN 环境变量,并通过 cfbr.sh 脚本管理 API 调用。
  • 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。
  • cf-browser 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Cloudflare Browser Rendering

Browse and scrape the web via Cloudflare's Browser Rendering REST API. Every call is a single POST request — no browser setup, no Puppeteer scripts.

Prerequisites

Requires two env vars (confirm they're set before making calls):

  • CF_ACCOUNT_ID — Cloudflare account ID
  • CF_API_TOKEN — API token with Browser Rendering - Edit permission

Helper script

Use cfbr.sh for all API calls. It handles auth headers and the base URL:

# JSON endpoints
cfbr.sh <endpoint> '<json_body>'

# Screenshot (binary) — optional third arg for output filename
cfbr.sh screenshot '<json_body>' output.png

Choosing an endpoint

GoalEndpointWhen to use
Read page content for analysismarkdownDefault choice — clean, token-efficient
Extract specific elementsscrapeKnow the CSS selectors for what you need
Extract structured data with AIjsonNeed typed objects, don't know exact selectors
Get full rendered DOMcontentNeed raw HTML for parsing or debugging
Discover pages / crawllinksBuilding a sitemap or finding subpages
Visual inspectionscreenshotNeed to see the page layout or debug visually
DOM + visual in one shotsnapshotNeed both HTML and a screenshot

For full endpoint details and parameters, see api.md.

Scraping workflow

Follow this sequence when scraping a site for structured data (e.g. rental listings, product catalogs, job boards):

1. Reconnaissance — understand the page

Start with markdown to see what content is on the page and how it's structured:

cfbr.sh markdown '{"url":"https://target-site.com/listings", "gotoOptions":{"waitUntil":"networkidle0"}}'

If the page is an SPA or loads content dynamically, networkidle0 ensures JS finishes executing. If you know a specific element that signals content is ready, use waitForSelector instead — it's faster:

{"url":"...", "waitForSelector": ".listing-card"}

2. Discover structure — find the selectors

From the markdown/HTML, identify repeating patterns (listing cards, table rows, etc.) and their CSS selectors. If unclear from markdown alone, use screenshot to visually inspect:

cfbr.sh screenshot '{"url":"https://target-site.com/listings", "screenshotOptions":{"fullPage":true}, "gotoOptions":{"waitUntil":"networkidle0"}}' listings.png

3. Extract — pull structured data

Option A: CSS selectors (when you know the DOM structure)

cfbr.sh scrape '{
  "url": "https://target-site.com/listings",
  "gotoOptions": {"waitUntil": "networkidle0"},
  "elements": [
    {"selector": ".listing-card .title"},
    {"selector": ".listing-card .price"},
    {"selector": ".listing-card .address"},
    {"selector": ".listing-card a"}
  ]
}'

The scrape endpoint returns text, html, attributes (including href), and position/dimensions for each match. Correlate results across selectors by index (first title matches first price, etc.).

Option B: AI extraction (when structure is complex or unknown)

cfbr.sh json '{
  "url": "https://target-site.com/listings",
  "gotoOptions": {"waitUntil": "networkidle0"},
  "prompt": "Extract all rental listings with title, price, address, bedrooms, and link",
  "response_format": {
    "type": "json_schema",
    "schema": {
      "type": "object",
      "properties": {
        "listings": {
          "type": "array",
          "items": {
            "type": "object",
            "properties": {
              "title": {"type": "string"},
              "price": {"type": "string"},
              "address": {"type": "string"},
              "bedrooms": {"type": "string"},
              "url": {"type": "string"}
            },
            "required": ["title", "price"]
          }
        }
      }
    }
  }
}'

Prefer scrape when selectors are clear — it's deterministic and free. Use json when the page structure is messy or you need semantic interpretation (incurs Workers AI charges).

4. Paginate — get all results

Use links to find pagination URLs:

cfbr.sh links '{"url":"https://target-site.com/listings"}'

Look for ?page=2, next, or load-more patterns. Repeat extraction for each page.

Infinite-scroll pages are a limitation — the API is stateless (one request = one browser session), so there's no way to scroll, wait for new content to load, and then extract in a single call. For these pages, look for an underlying API or URL parameters (e.g. ?page=2, ?offset=20) that serve paginated data directly.

5. Handle obstacles

SPA / empty results — Add "gotoOptions": {"waitUntil": "networkidle0"} or "waitForSelector": "<selector>".

Slow pages — Increase timeout: "gotoOptions": {"timeout": 60000}.

Heavy pages — Strip unnecessary resources:

{"rejectResourceTypes": ["image", "stylesheet", "font", "media"]}

Auth-gated pages — Pass session cookies:

{"cookies": [{"name": "session", "value": "abc123", "domain": "target-site.com", "path": "/"}]}

Bot detection — Cloudflare Browser Rendering is always identified as a bot. The userAgent field changes what the site sees but will not bypass bot protection. If a site blocks the request, there is no workaround via this API.

Tips

  • markdown is the best default for content extraction — it's clean, compact, and LLM-ready.
  • Always use networkidle0 or waitForSelector on any modern site. Without it you'll get incomplete content.
  • rejectResourceTypes dramatically speeds up text-only operations. Always strip images/fonts/stylesheets when you only need text.
  • scrape results are ordered by DOM position — correlate across selectors by array index.
  • For large scraping jobs, process pages sequentially to stay within rate limits.

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.16%
按下载量换算28

Claude

30.78%
按下载量换算24

Cursor

18.5%
按下载量换算15

Gemini CLI

10.27%
按下载量换算8

安全审计

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未通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

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安装前确认

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来源信息

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