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Agent Skill · 开发

page-monitoring(页面监控)

page-monitoring 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 Codex、Claude、Cursor、Gemini CLI 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

page-monitoring 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 3,622。

总安装 10,708周安装 429GitHub Stars 171下载 3,466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:page-monitoring(页面监控)
来源仓库:https://github.com/jamditis/claude-skills-journalism
仓库路径:skills/page-monitoring
安装命令:
npx skills add https://github.com/jamditis/claude-skills-journalism --skill page-monitoring
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/jamditis/claude-skills-journalism --skill page-monitoring

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

跟踪网页更改、检测可用性问题并使用多种监控策略保留内容。

支持四种主要监控服务(Visualping、ChangeTower、Distill.io、UptimeRobot),具有不同的优势:视觉变化检测、合规性归档、元素级跟踪和正常运行时间监控 包括即用型 Python 实现,用于本地页面监控,具有基于哈希的更改检测、元素选择器和自动归档 涵盖没有提要的页面的 RSS 提要生成、使用 Twarc 进行 Twitter/X 归档以及基于 Webhook 的警报(Slack、Discord、电子邮件) 提供 cron 调度模板和速率限制的最佳实践、按用例监控频率以及竞争情报的法律考虑因素

来源仓库内路径:skills/page-monitoring

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/jamditis/claude-skills-journalism --skill page…;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

    它需要需要联网,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

page-monitoring 怎么安装?

在终端执行 npx skills add https://github.com/jamditis/claude-skills-journalism --skill page-monitorin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

page-monitoring 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。

page-monitoring 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

page-monitoring 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。

page-monitoring 用的人多吗?

公开数据是累计安装 10,708 次,近一周安装 429 次,下载 3,466 次,GitHub 171 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。

page-monitoring 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。

先想清楚的地方

  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
page-monitoring

页面监控 · 本页

10,708171需要联网未明确有提醒

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

Page monitoring methodology

Patterns for tracking web page changes, detecting content removal, and preserving important pages before they disappear.

Monitoring service comparison

ServiceFree TierBest ForStorageAlert Speed
Visualping5 pagesVisual changesStandardMinutes
ChangeTowerYesCompliance, archiving12 yearsMinutes
Distill.io25 pagesElement-level tracking12 monthsSeconds
WacheteLimitedLogin-protected pages12 monthsMinutes
UptimeRobot50 monitorsUptime only2 monthsMinutes

Quick-start: Monitor a page

Distill.io element monitoring

// Distill.io allows CSS/XPath selectors for precise monitoring
// Example selectors for common use cases:

// Monitor news article headlines
const newsSelector = '.article-headline, h1.title, .story-title';

// Monitor price changes
const priceSelector = '.price, .product-price, [data-price]';

// Monitor stock/availability
const availabilitySelector = '.in-stock, .availability, .stock-status';

// Monitor specific paragraph or section
const sectionSelector = '#main-content p:first-child';

// Monitor table data
const tableSelector = 'table.data-table tbody tr';

Python monitoring script

import requests
import hashlib
import json
import smtplib
from email.mime.text import MIMEText
from datetime import datetime
from pathlib import Path
from typing import Optional
from bs4 import BeautifulSoup

class PageMonitor:
    """Simple page change monitor with local storage."""

    def __init__(self, storage_dir: Path):
        self.storage_dir = storage_dir
        self.storage_dir.mkdir(parents=True, exist_ok=True)
        self.state_file = storage_dir / 'monitor_state.json'
        self.state = self._load_state()

    def _load_state(self) -> dict:
        if self.state_file.exists():
            return json.loads(self.state_file.read_text())
        return {'pages': {}}

    def _save_state(self):
        self.state_file.write_text(json.dumps(self.state, indent=2))

    def _get_page_hash(self, url: str, selector: str = None) -> tuple[str, str]:
        """Get content hash and content for a page or element."""

        response = requests.get(url, timeout=30, headers={
            'User-Agent': 'Mozilla/5.0 (PageMonitor/1.0)'
        })
        response.raise_for_status()

        if selector:
            soup = BeautifulSoup(response.text, 'html.parser')
            element = soup.select_one(selector)
            content = element.get_text(strip=True) if element else ''
        else:
            content = response.text

        content_hash = hashlib.sha256(content.encode()).hexdigest()
        return content_hash, content

    def add_page(self, url: str, name: str, selector: str = None):
        """Add a page to monitor."""

        content_hash, content = self._get_page_hash(url, selector)

        self.state['pages'][url] = {
            'name': name,
            'selector': selector,
            'last_hash': content_hash,
            'last_check': datetime.now().isoformat(),
            'last_content': content[:1000],  # Store preview
            'change_count': 0
        }

        self._save_state()
        print(f"Added: {name} ({url})")

    def check_page(self, url: str) -> Optional[dict]:
        """Check single page for changes."""

        if url not in self.state['pages']:
            return None

        page = self.state['pages'][url]
        selector = page.get('selector')

        try:
            new_hash, new_content = self._get_page_hash(url, selector)
        except Exception as e:
            return {
                'url': url,
                'name': page['name'],
                'status': 'error',
                'error': str(e)
            }

        changed = new_hash != page['last_hash']

        result = {
            'url': url,
            'name': page['name'],
            'status': 'changed' if changed else 'unchanged',
            'previous_content': page['last_content'],
            'new_content': new_content[:1000] if changed else None
        }

        if changed:
            page['last_hash'] = new_hash
            page['last_content'] = new_content[:1000]
            page['change_count'] += 1

            # Archive the change
            archive_file = self.storage_dir / f"{hashlib.md5(url.encode()).hexdigest()}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.txt"
            archive_file.write_text(new_content)

        page['last_check'] = datetime.now().isoformat()
        self._save_state()

        return result

    def check_all(self) -> list[dict]:
        """Check all monitored pages."""
        results = []
        for url in self.state['pages']:
            result = self.check_page(url)
            if result:
                results.append(result)
        return results

# Usage
monitor = PageMonitor(Path('./page_monitor_data'))

# Add pages to monitor
monitor.add_page(
    'https://example.com/important-page',
    'Important Page',
    selector='.main-content'  # Optional: monitor specific element
)

# Check for changes
results = monitor.check_all()
for result in results:
    if result['status'] == 'changed':
        print(f"CHANGED: {result['name']}")
        print(f"  Previous: {result['previous_content'][:100]}...")
        print(f"  New: {result['new_content'][:100]}...")

Uptime monitoring

UptimeRobot API integration

import requests
from typing import List, Optional

class UptimeRobotClient:
    """UptimeRobot API client for monitoring page availability."""

    def __init__(self, api_key: str):
        self.api_key = api_key
        self.base_url = "https://api.uptimerobot.com/v2"

    def _request(self, endpoint: str, params: dict = None) -> dict:
        data = {'api_key': self.api_key}
        if params:
            data.update(params)

        response = requests.post(f"{self.base_url}/{endpoint}", data=data)
        return response.json()

    def get_monitors(self) -> List[dict]:
        """Get all monitors."""
        result = self._request('getMonitors')
        return result.get('monitors', [])

    def create_monitor(self, friendly_name: str, url: str,
                       monitor_type: int = 1) -> dict:
        """Create a new monitor.

        Types: 1=HTTP(s), 2=Keyword, 3=Ping, 4=Port
        """
        return self._request('newMonitor', {
            'friendly_name': friendly_name,
            'url': url,
            'type': monitor_type
        })

    def get_monitor_uptime(self, monitor_id: int,
                           custom_uptime_ratios: str = "7-30-90") -> dict:
        """Get uptime statistics for a monitor."""
        return self._request('getMonitors', {
            'monitors': monitor_id,
            'custom_uptime_ratios': custom_uptime_ratios
        })

    def pause_monitor(self, monitor_id: int) -> dict:
        """Pause a monitor."""
        return self._request('editMonitor', {
            'id': monitor_id,
            'status': 0
        })

    def resume_monitor(self, monitor_id: int) -> dict:
        """Resume a monitor."""
        return self._request('editMonitor', {
            'id': monitor_id,
            'status': 1
        })

# Usage
client = UptimeRobotClient('your-api-key')

# Create monitors for important pages
client.create_monitor('News Homepage', 'https://example-news.com')
client.create_monitor('API Status', 'https://api.example.com/health')

# Check all monitors
for monitor in client.get_monitors():
    status = 'UP' if monitor['status'] == 2 else 'DOWN'
    print(f"{monitor['friendly_name']}: {status}")

RSS feed generation

Generate RSS from pages without feeds

import requests
from bs4 import BeautifulSoup
from feedgen.feed import FeedGenerator
from datetime import datetime
import hashlib

class RSSGenerator:
    """Generate RSS feeds from web pages."""

    def __init__(self, feed_id: str, title: str, link: str):
        self.fg = FeedGenerator()
        self.fg.id(feed_id)
        self.fg.title(title)
        self.fg.link(href=link)
        self.fg.description(f'Auto-generated feed for {title}')

    def add_from_page(self, url: str, item_selector: str,
                      title_selector: str, link_selector: str,
                      description_selector: str = None):
        """Parse a page and add items to feed.

        Args:
            url: Page URL to parse
            item_selector: CSS selector for each item container
            title_selector: CSS selector for title (relative to item)
            link_selector: CSS selector for link (relative to item)
            description_selector: Optional CSS selector for description
        """

        response = requests.get(url, timeout=30)
        soup = BeautifulSoup(response.text, 'html.parser')

        items = soup.select(item_selector)

        for item in items[:20]:  # Limit to 20 items
            title_elem = item.select_one(title_selector)
            link_elem = item.select_one(link_selector)

            if not title_elem or not link_elem:
                continue

            title = title_elem.get_text(strip=True)
            link = link_elem.get('href', '')

            # Make absolute URL if relative
            if link.startswith('/'):
                from urllib.parse import urljoin
                link = urljoin(url, link)

            fe = self.fg.add_entry()
            fe.id(hashlib.md5(link.encode()).hexdigest())
            fe.title(title)
            fe.link(href=link)

            if description_selector:
                desc_elem = item.select_one(description_selector)
                if desc_elem:
                    fe.description(desc_elem.get_text(strip=True))

            fe.published(datetime.now())

    def generate_rss(self) -> str:
        """Generate RSS XML string."""
        return self.fg.rss_str(pretty=True).decode()

    def save_rss(self, filepath: str):
        """Save RSS feed to file."""
        self.fg.rss_file(filepath)

# Example: Generate feed for a news site without RSS
rss = RSSGenerator(
    'https://example.com/news',
    'Example News Feed',
    'https://example.com/news'
)

rss.add_from_page(
    'https://example.com/news',
    item_selector='.news-item',
    title_selector='h2 a',
    link_selector='h2 a',
    description_selector='.summary'
)

# Save the feed
rss.save_rss('example_feed.xml')

Using RSS-Bridge (self-hosted)

# RSS-Bridge generates feeds for sites without them
# Supports Twitter, Instagram, YouTube, and many others

# Docker installation
docker pull rssbridge/rss-bridge
docker run -d -p 3000:80 rssbridge/rss-bridge

# Access at http://localhost:3000
# Select a bridge, enter parameters, get RSS feed URL

Social media monitoring

Twitter/X archiving with Twarc

# Twarc requires Twitter API credentials

# Installation
# pip install twarc

# Configure
# twarc2 configure

import subprocess
import json
from pathlib import Path

class TwitterArchiver:
    """Archive Twitter searches and timelines."""

    def __init__(self, output_dir: Path):
        self.output_dir = output_dir
        self.output_dir.mkdir(parents=True, exist_ok=True)

    def search(self, query: str, max_results: int = 100) -> Path:
        """Search tweets and save to file."""

        output_file = self.output_dir / f"search_{query.replace(' ', '_')}.jsonl"

        subprocess.run([
            'twarc2', 'search',
            '--max-results', str(max_results),
            query,
            str(output_file)
        ], check=True)

        return output_file

    def get_timeline(self, username: str, max_results: int = 100) -> Path:
        """Get user timeline."""

        output_file = self.output_dir / f"timeline_{username}.jsonl"

        subprocess.run([
            'twarc2', 'timeline',
            '--max-results', str(max_results),
            username,
            str(output_file)
        ], check=True)

        return output_file

    def parse_archive(self, filepath: Path) -> list[dict]:
        """Parse archived tweets."""

        tweets = []
        with open(filepath) as f:
            for line in f:
                data = json.loads(line)
                if 'data' in data:
                    tweets.extend(data['data'])

        return tweets

Webhook notifications

Send alerts on changes

import requests
from typing import Optional

class AlertManager:
    """Send alerts when monitored pages change."""

    def __init__(self, slack_webhook: str = None,
                 discord_webhook: str = None,
                 email_config: dict = None):
        self.slack_webhook = slack_webhook
        self.discord_webhook = discord_webhook
        self.email_config = email_config

    def send_slack(self, message: str, channel: str = None):
        """Send Slack notification."""
        if not self.slack_webhook:
            return

        payload = {'text': message}
        if channel:
            payload['channel'] = channel

        requests.post(self.slack_webhook, json=payload)

    def send_discord(self, message: str):
        """Send Discord notification."""
        if not self.discord_webhook:
            return

        requests.post(self.discord_webhook, json={'content': message})

    def send_email(self, subject: str, body: str, to: str):
        """Send email notification."""
        if not self.email_config:
            return

        import smtplib
        from email.mime.text import MIMEText

        msg = MIMEText(body)
        msg['Subject'] = subject
        msg['From'] = self.email_config['from']
        msg['To'] = to

        with smtplib.SMTP(self.email_config['smtp_host'],
                         self.email_config['smtp_port']) as server:
            server.starttls()
            server.login(self.email_config['username'],
                        self.email_config['password'])
            server.send_message(msg)

    def alert_change(self, page_name: str, url: str,
                     old_content: str, new_content: str):
        """Send change alert to all configured channels."""

        message = f"""
Page Changed: {page_name}
URL: {url}
Time: {datetime.now().isoformat()}

Previous content (preview):
{old_content[:200]}...

New content (preview):
{new_content[:200]}...
"""

        if self.slack_webhook:
            self.send_slack(message)

        if self.discord_webhook:
            self.send_discord(message)

Scheduled monitoring with cron

Cron setup for continuous monitoring

# Edit crontab
crontab -e

# Check pages every 15 minutes
*/15 * * * * /usr/bin/python3 /path/to/monitor_script.py >> /var/log/monitor.log 2>&1

# Check critical pages every 5 minutes
*/5 * * * * /usr/bin/python3 /path/to/critical_monitor.py >> /var/log/critical.log 2>&1

# Daily summary report at 8 AM
0 8 * * * /usr/bin/python3 /path/to/daily_report.py

Monitoring script template

#!/usr/bin/env python3
"""Page monitoring script for cron execution."""

import sys
from pathlib import Path
from datetime import datetime

# Add project to path
sys.path.insert(0, str(Path(__file__).parent))

from monitor import PageMonitor
from alerts import AlertManager

def main():
    # Initialize
    monitor = PageMonitor(Path('./data'))
    alerts = AlertManager(
        slack_webhook='https://hooks.slack.com/services/...',
        discord_webhook='https://discord.com/api/webhooks/...'
    )

    # Check all pages
    results = monitor.check_all()

    # Process results
    changes = [r for r in results if r['status'] == 'changed']
    errors = [r for r in results if r['status'] == 'error']

    # Alert on changes
    for change in changes:
        alerts.alert_change(
            change['name'],
            change['url'],
            change['previous_content'],
            change['new_content']
        )
        print(f"[{datetime.now()}] CHANGE: {change['name']}")

    # Alert on errors
    for error in errors:
        alerts.send_slack(f"Monitor error for {error['name']}: {error['error']}")
        print(f"[{datetime.now()}] ERROR: {error['name']} - {error['error']}")

    # Summary
    print(f"[{datetime.now()}] Checked {len(results)} pages, "
          f"{len(changes)} changes, {len(errors)} errors")

if __name__ == '__main__':
    main()

Archive on change

Automatic archiving when changes detected

from multiarchiver import MultiArchiver

class ArchivingMonitor(PageMonitor):
    """Page monitor that archives content when changes detected."""

    def __init__(self, storage_dir: Path):
        super().__init__(storage_dir)
        self.archiver = MultiArchiver()

    def check_page(self, url: str) -> dict:
        """Check page and archive if changed."""

        result = super().check_page(url)

        if result and result['status'] == 'changed':
            # Archive to multiple services
            archive_results = self.archiver.archive_url(url)

            successful_archives = [
                r.archived_url for r in archive_results
                if r.success
            ]

            result['archives'] = successful_archives

            # Log archive URLs
            print(f"Archived {url} to:")
            for archive_url in successful_archives:
                print(f"  - {archive_url}")

        return result

Monitoring strategy by use case

News monitoring

## News/Current Events Monitoring

### Pages to monitor:
- Breaking news sections
- Press release pages
- Government announcement pages
- Company newsrooms

### Monitoring frequency:
- Breaking news: Every 5 minutes
- Press releases: Every 15-30 minutes
- General news: Every hour

### Archive strategy:
- Archive immediately on detection
- Use both Wayback Machine and Archive.today
- Save local copy with timestamp

Research monitoring

## Academic/Research Monitoring

### Pages to monitor:
- Preprint servers (arXiv, SSRN)
- Journal table of contents
- Conference proceedings
- Researcher profiles

### Monitoring frequency:
- Daily for active topics
- Weekly for general monitoring

### Tools recommended:
- Google Scholar alerts (free, built-in)
- Semantic Scholar alerts
- RSS feeds where available
- Custom monitors for specific pages

Competitive intelligence

## Competitor Monitoring

### Pages to monitor:
- Pricing pages
- Product pages
- Job postings
- Press releases
- Executive bios

### Monitoring frequency:
- Pricing: Daily
- Products: Daily
- Jobs: Weekly
- Press: Daily

### Legal considerations:
- Don't violate terms of service
- Don't circumvent access controls
- Public pages only
- Don't scrape at high frequency

Best practices

Monitoring checklist

## Before monitoring a page:

- [ ] Is the page publicly accessible?
- [ ] Are you respecting robots.txt?
- [ ] Is monitoring frequency reasonable?
- [ ] Do you have a legitimate purpose?
- [ ] Are you storing data securely?
- [ ] Do you have alerts configured?
- [ ] Is archiving set up for important pages?

## Maintenance:

- [ ] Review monitors monthly
- [ ] Remove stale monitors
- [ ] Update selectors if pages change
- [ ] Check alert delivery
- [ ] Verify archives are working

Rate limiting

import time
from functools import wraps

def rate_limit(min_interval: float = 1.0):
    """Decorator to rate limit function calls."""
    last_call = [0.0]

    def decorator(func):
        @wraps(func)
        def wrapper(*args, **kwargs):
            elapsed = time.time() - last_call[0]
            if elapsed < min_interval:
                time.sleep(min_interval - elapsed)
            last_call[0] = time.time()
            return func(*args, **kwargs)
        return wrapper
    return decorator

# Usage
@rate_limit(min_interval=2.0)  # Max once per 2 seconds
def check_page(url: str):
    return requests.get(url)

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通过

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通过

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可疑

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