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Agent Skill · 研究检索

cf-crawl(比照爬行)

cf-crawl 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。

cf-crawl 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 67,016。

总安装 256周安装 11GitHub Stars 26,428下载 90核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-crawl(比照爬行)
来源仓库:https://github.com/davila7/claude-code-templates
仓库路径:skills/cf-crawl
安装命令:
npx skills add https://github.com/davila7/claude-code-templates --skill cf-crawl
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/davila7/claude-code-templates --skill cf-crawl

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

cf-crawl 利用 Cloudflare Browser Rendering API 抓取网页并转为 Markdown。适用于静态内容整理、竞品分析与文档归档等离线使用场景。使用时需提供有效 API Token 并遵守 Cloudflare 速率限制策略。

安装前请确认目标网站是否允许爬取,避免违反 robots.txt 规则。cf-crawl 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/cf-crawl

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/davila7/claude-code-templates --skill cf-crawl;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cf-crawl 怎么安装?

在终端执行 npx skills add https://github.com/davila7/claude-code-templates --skill cf-crawl。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cf-crawl 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cf-crawl 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

cf-crawl 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cf-crawl 用的人多吗?

公开数据是累计安装 256 次,近一周安装 11 次,下载 90 次,GitHub 26,428 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cf-crawl 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 来源仓库有 26,428 星,维护活跃度相对可查。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cf-crawl

比照爬行 · 本页

25626,428接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Cloudflare Website Crawler

You are a web crawling assistant that uses Cloudflare's Browser Rendering /crawl REST API to crawl websites and save their content as markdown files for local use.

Prerequisites

The user must have:

  1. A Cloudflare account with Browser Rendering enabled
  2. CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN available (see below)

Workflow

When the user asks to crawl a website, follow this exact workflow:

Step 1: Load Credentials

Look for CLOUDFLARE_ACCOUNT_ID and CLOUDFLARE_API_TOKEN in this order:

  1. Current environment variables - Check if already exported in the shell
  2. Project .env file - Read .env in the current working directory and extract the values
  3. Project .env.local file - Read .env.local in the current working directory
  4. Home directory .env - Read ~/.env as a last resort

To load from a .env file, parse it line by line looking for CLOUDFLARE_ACCOUNT_ID= and CLOUDFLARE_API_TOKEN= entries. Use this bash approach:

# Load from .env if vars are not already set
if [ -z "$CLOUDFLARE_ACCOUNT_ID" ] || [ -z "$CLOUDFLARE_API_TOKEN" ]; then
  for envfile in .env .env.local "$HOME/.env"; do
    if [ -f "$envfile" ]; then
      eval "$(grep -E '^CLOUDFLARE_(ACCOUNT_ID|API_TOKEN)=' "$envfile" | sed 's/^/export /')"
    fi
  done
fi

If credentials are still missing after checking all sources, tell the user to add them to their project .env file:

CLOUDFLARE_ACCOUNT_ID=your-account-id
CLOUDFLARE_API_TOKEN=your-api-token

The API token needs "Browser Rendering - Edit" permission. Create one at Cloudflare Dashboard > API Tokens.

Step 2: Validate Credentials

Verify both variables are set and non-empty before proceeding.

Step 3: Initiate Crawl

Send a POST request to start the crawl job. Choose parameters based on user needs:

curl -s -X POST "https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/browser-rendering/crawl" \
  -H "Authorization: Bearer ${CLOUDFLARE_API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "<TARGET_URL>",
    "limit": <NUMBER_OF_PAGES>,
    "formats": ["markdown"],
    "options": {
      "excludePatterns": ["**/changelog/**", "**/api-reference/**"]
    }
  }'

For incremental crawls, add the modifiedSince parameter (Unix timestamp in seconds):

curl -s -X POST "https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/browser-rendering/crawl" \
  -H "Authorization: Bearer ${CLOUDFLARE_API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "<TARGET_URL>",
    "limit": <NUMBER_OF_PAGES>,
    "formats": ["markdown"],
    "modifiedSince": <UNIX_TIMESTAMP>
  }'

When --since is provided, convert to Unix timestamp: date -d "2026-03-10" +%s (Linux) or date -j -f "%Y-%m-%d" "2026-03-10" +%s (macOS).

The response returns a job ID:

{"success": true, "result": "job-uuid-here"}

Step 4: Poll for Completion

Poll the job status every 5 seconds until it completes:

curl -s -X GET "https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/browser-rendering/crawl/<JOB_ID>?limit=1" \
  -H "Authorization: Bearer ${CLOUDFLARE_API_TOKEN}" | python3 -c "import sys,json; d=json.load(sys.stdin); print(f'Status: {d[\"result\"][\"status\"]} | Finished: {d[\"result\"][\"finished\"]}/{d[\"result\"][\"total\"]}')"

Possible job statuses:

  • running - Still in progress, keep polling
  • completed - All pages processed
  • cancelled_due_to_timeout - Exceeded 7-day limit
  • cancelled_due_to_limits - Hit account limits
  • errored - Something went wrong

Step 5: Retrieve Results

When using modifiedSince, check for skipped pages to see what was unchanged:

# See which pages were skipped (not modified since the given timestamp)
curl -s -X GET "https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/browser-rendering/crawl/<JOB_ID>?status=skipped&limit=50" \
  -H "Authorization: Bearer ${CLOUDFLARE_API_TOKEN}"

Fetch all completed records using pagination (cursor-based):

curl -s -X GET "https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/browser-rendering/crawl/<JOB_ID>?status=completed&limit=50" \
  -H "Authorization: Bearer ${CLOUDFLARE_API_TOKEN}"

If there are more records, use the cursor value from the response:

curl -s -X GET "https://api.cloudflare.com/client/v4/accounts/${CLOUDFLARE_ACCOUNT_ID}/browser-rendering/crawl/<JOB_ID>?status=completed&limit=50&cursor=<CURSOR>" \
  -H "Authorization: Bearer ${CLOUDFLARE_API_TOKEN}"

Step 6: Save Results

Save each page's markdown content to a local directory. Use a script like:

# Create output directory
mkdir -p .crawl-output

# Fetch and save all pages
python3 -c "
import json, os, re, sys, urllib.request

account_id = os.environ['CLOUDFLARE_ACCOUNT_ID']
api_token = os.environ['CLOUDFLARE_API_TOKEN']
job_id = '<JOB_ID>'
base = f'https://api.cloudflare.com/client/v4/accounts/{account_id}/browser-rendering/crawl/{job_id}'
outdir = '.crawl-output'
os.makedirs(outdir, exist_ok=True)

cursor = None
total_saved = 0

while True:
    url = f'{base}?status=completed&limit=50'
    if cursor:
        url += f'&cursor={cursor}'

    req = urllib.request.Request(url, headers={
        'Authorization': f'Bearer {api_token}'
    })
    with urllib.request.urlopen(req) as resp:
        data = json.load(resp)

    records = data.get('result', {}).get('records', [])
    if not records:
        break

    for rec in records:
        page_url = rec.get('url', '')
        md = rec.get('markdown', '')
        if not md:
            continue
        # Convert URL to filename
        name = re.sub(r'https?://', '', page_url)
        name = re.sub(r'[^a-zA-Z0-9]', '_', name).strip('_')[:120]
        filepath = os.path.join(outdir, f'{name}.md')
        with open(filepath, 'w') as f:
            f.write(f'<!-- Source: {page_url} -->\n\n')
            f.write(md)
        total_saved += 1

    cursor = data.get('result', {}).get('cursor')
    if cursor is None:
        break

print(f'Saved {total_saved} pages to {outdir}/')
"

Parameter Reference

Core Parameters

ParameterTypeDefaultDescription
urlstring(required)Starting URL to crawl
limitnumber10Max pages to crawl (up to 100,000)
depthnumber100,000Max link depth from starting URL
formatsarray["html"]Output formats: html, markdown, json
renderbooleantruetrue = headless browser, false = fast HTML fetch
sourcestring"all"Page discovery: all, sitemaps, links
maxAgenumber86400Cache validity in seconds (max 604800)
modifiedSincenumber-Unix timestamp; only crawl pages modified after this time

Options Object

ParameterTypeDefaultDescription
includePatternsarray[]Wildcard patterns to include (* and **)
excludePatternsarray[]Wildcard patterns to exclude (higher priority)
includeSubdomainsbooleanfalseFollow links to subdomains
includeExternalLinksbooleanfalseFollow external links

Advanced Parameters

ParameterTypeDescription
jsonOptionsobjectAI-powered structured extraction (prompt, response_format)
authenticateobjectHTTP basic auth (username, password)
setExtraHTTPHeadersobjectCustom headers for requests
rejectResourceTypesarraySkip: image, media, font, stylesheet
userAgentstringCustom user agent string
cookiesarrayCustom cookies for requests

Usage Examples

Crawl documentation site (most common)

/cf-crawl https://docs.example.com --limit 50

Crawls up to 50 pages, saves as markdown.

Crawl with filters

/cf-crawl https://docs.example.com --limit 100 --include "/guides/**,/api/**" --exclude "/changelog/**"

Incremental crawl (diff detection)

/cf-crawl https://docs.example.com --limit 50 --since 2026-03-10

Only crawls pages modified since the given date. Skipped pages appear with status=skipped in results. This is ideal for daily doc-syncing: do one full crawl, then incremental updates to see only what changed.

Fast crawl without JavaScript rendering

/cf-crawl https://docs.example.com --no-render --limit 200

Uses static HTML fetch - faster and cheaper but won't capture JS-rendered content.

Crawl and merge into single file

/cf-crawl https://docs.example.com --limit 50 --merge

Merges all pages into a single markdown file for easy context loading.

Argument Parsing

When invoked as /cf-crawl, parse the arguments as follows:

  • First positional argument: the URL to crawl
  • --limit N or -l N: max pages (default: 20)
  • --depth N or -d N: max depth (default: 100000)
  • --include "pattern1,pattern2": include URL patterns
  • --exclude "pattern1,pattern2": exclude URL patterns
  • --no-render: disable JavaScript rendering (faster)
  • --merge: combine all output into a single file
  • --output DIR or -o DIR: output directory (default: .crawl-output)
  • --source sitemaps|links|all: page discovery method (default: all)
  • --since DATE: only crawl pages modified since DATE (ISO date like 2026-03-10 or Unix timestamp). Converts to Unix timestamp for the modifiedSince API parameter

If no URL is provided, ask the user for the target URL.

Important Notes

  • The /crawl endpoint respects robots.txt directives including crawl-delay
  • Blocked URLs appear with "status": "disallowed" in results
  • Free plan: 10 minutes of browser time per day
  • Job results are available for 14 days after completion
  • Max job runtime: 7 days
  • Response page size limit: 10 MB per page
  • Use render: false for static sites to save browser time
  • Pattern wildcards: * matches any character except /, ** matches including /

平台分布

Codex

38.16%
按下载量换算34

Claude

26.94%
按下载量换算24

Cursor

17.07%
按下载量换算15

Gemini CLI

8.6%
按下载量换算8

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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