Agent skill

Web Reader

by jjyaoao in jjyaoao/HelloAgents

Implement web page content extraction capabilities using the z-ai-web-dev-sdk.

MITAuto-check passedData & Analytics

Install Web Reader

skills CLI
$ npx skills add jjyaoao/HelloAgents --skill web-reader -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jjyaoao/HelloAgents web-reader --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jjyaoao/HelloAgents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/web-reader .claude/skills/web-reader && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
web-reader
GitHub stars
3.2k
Used in
1 other repo
Token cost
~7.1k tokens
SKILL.md length
794 words
Files
3 (incl. scripts)
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Implement web page content extraction capabilities using the z-ai-web-dev-sdk.

  • Works in 5 steps: Error Handling → Rate Limiting → Caching Strategy → …
  • The user needs to scrape web pages
  • SKILL.md covers Skills Path, Overview, Prerequisites and CLI Usage (For Simple Tasks), plus 5 more sections
  • Runs TypeScript scripts from its folder; reaches techblog.com and research.org

What it does

Web Reader is an agent skill from jjyaoao/HelloAgents. Implement web page content extraction capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to scrape web pages, extract article content, retrieve page metadata, or build applications that process web content. Supports automatic content extraction with title, HTML, and publication time retrieval.

Its SKILL.md is about 7.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/web-reader.ts`).

It sits in Data & Analytics, covering Web scraping. It works with Zhipu GLM. The repository describes itself as: A agent framework based on the tutorial hello-agents. The licence is MIT.

When your agent uses it

  • The user needs to scrape web pages
  • Extract article content
  • Retrieve page metadata
  • Build applications that process web content

Example prompts

  • “/web-reader”

Requirements

  • Node.js

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Error Handling
  2. Rate Limiting
  3. Caching Strategy
  4. Parallel Processing
  5. Content Processing

What it can do on your machine

Read from SKILL.md and the folder at commit c597a7c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (TypeScript), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • techblog.com
    • research.org
    • site1.com
    • site2.com
    • site3.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Web Reader loads about 7.1k tokens when it runs. Until then it costs about 83 tokens; SKILL.md has 794 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~7.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jjyaoao/HelloAgents at commit c597a7c, republished under its MIT licence (© jjyaoao). 794 words, ~7,089 tokens.

Download SKILL.mdSave it as .claude/skills/web-reader/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
web-reader
description
Implement web page content extraction capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to scrape web pages, extract article content, retrieve page metadata, or build applications that process web content. Supports automatic content extraction with title, HTML, and publication time retrieval.
license
MIT

Web Reader Skill

This skill guides the implementation of web page reading and content extraction functionality using the z-ai-web-dev-sdk package, enabling applications to fetch and process web page content programmatically.

Skills Path

Skill Location: {project_path}/skills/web-reader

This skill is located at the above path in your project.

Reference Scripts: Example test scripts are available in the {Skill Location}/scripts/ directory for quick testing and reference. See {Skill Location}/scripts/web-reader.ts for a working example.

Overview

Web Reader allows you to build applications that can extract content from web pages, retrieve article metadata, and process HTML content. The API automatically handles content extraction, providing clean, structured data from any web URL.

IMPORTANT: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.

Prerequisites

The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.

CLI Usage (For Simple Tasks)

For simple web page content extraction, you can use the z-ai CLI instead of writing code. This is ideal for quick content scraping, testing URLs, or simple automation tasks.

Basic Page Reading
bash
# Extract content from a web page
z-ai function --name "page_reader" --args '{"url": "https://example.com"}'

# Using short options
z-ai function -n page_reader -a '{"url": "https://www.example.com/article"}'
Save Page Content
bash
# Save extracted content to JSON file
z-ai function \
  -n page_reader \
  -a '{"url": "https://news.example.com/article"}' \
  -o page_content.json

# Extract and save blog post
z-ai function \
  -n page_reader \
  -a '{"url": "https://blog.example.com/post/123"}' \
  -o blog_post.json
Common Use Cases
bash
# Extract news article
z-ai function \
  -n page_reader \
  -a '{"url": "https://news.site.com/breaking-news"}' \
  -o news.json

# Read documentation page
z-ai function \
  -n page_reader \
  -a '{"url": "https://docs.example.com/getting-started"}' \
  -o docs.json

# Scrape blog content
z-ai function \
  -n page_reader \
  -a '{"url": "https://techblog.com/ai-trends-2024"}' \
  -o blog.json

# Extract research article
z-ai function \
  -n page_reader \
  -a '{"url": "https://research.org/papers/quantum-computing"}' \
  -o research.json
CLI Parameters
  • --name, -n: Required - Function name (use "page_reader")
  • --args, -a: Required - JSON arguments object with:
    • url (string, required): The URL of the web page to read
  • --output, -o <path>: Optional - Output file path (JSON format)
Response Structure

The CLI returns a JSON object containing:

  • title: Page title
  • html: Main content HTML
  • text: Plain text content
  • publish_time: Publication timestamp (if available)
  • url: Original URL
  • metadata: Additional page metadata
Example Response
json
{
  "title": "Introduction to Machine Learning",
  "html": "<article><h1>Introduction to Machine Learning</h1><p>Machine learning is...</p></article>",
  "text": "Introduction to Machine Learning\n\nMachine learning is...",
  "publish_time": "2024-01-15T10:30:00Z",
  "url": "https://example.com/ml-intro",
  "metadata": {
    "author": "John Doe",
    "description": "A comprehensive guide to ML"
  }
}
Processing Multiple URLs
bash
# Create a simple script to process multiple URLs
for url in \
  "https://site1.com/article1" \
  "https://site2.com/article2" \
  "https://site3.com/article3"
do
  filename=$(echo $url | md5sum | cut -d' ' -f1)
  z-ai function -n page_reader -a "{\"url\": \"$url\"}" -o "${filename}.json"
done
When to Use CLI vs SDK

Use CLI for:

  • Quick content extraction
  • Testing URL accessibility
  • Simple web scraping tasks
  • One-off content retrieval

Use SDK for:

  • Batch URL processing with custom logic
  • Integration with web applications
  • Complex content processing pipelines
  • Production applications with error handling

How It Works

The Web Reader uses the page_reader function to:

  1. Fetch the web page content
  2. Extract main article content and metadata
  3. Parse and clean the HTML
  4. Return structured data including title, content, and publication time

Basic Web Reading Implementation

Simple Page Reading
javascript
import ZAI from 'z-ai-web-dev-sdk';

async function readWebPage(url) {
  try {
    const zai = await ZAI.create();

    const result = await zai.functions.invoke('page_reader', {
      url: url
    });

    console.log('Title:', result.data.title);
    console.log('URL:', result.data.url);
    console.log('Published:', result.data.publishedTime);
    console.log('HTML Content:', result.data.html);
    console.log('Tokens Used:', result.data.usage.tokens);

    return result.data;
  } catch (error) {
    console.error('Page reading failed:', error.message);
    throw error;
  }
}

// Usage
const pageData = await readWebPage('https://example.com/article');
console.log('Page title:', pageData.title);
Extract Article Text Only
javascript
import ZAI from 'z-ai-web-dev-sdk';

async function extractArticleText(url) {
  const zai = await ZAI.create();

  const result = await zai.functions.invoke('page_reader', {
    url: url
  });

  // Convert HTML to plain text (basic approach)
  const plainText = result.data.html
    .replace(/<[^>]*>/g, ' ')
    .replace(/\s+/g, ' ')
    .trim();

  return {
    title: result.data.title,
    text: plainText,
    url: result.data.url,
    publishedTime: result.data.publishedTime
  };
}

// Usage
const article = await extractArticleText('https://news.example.com/story');
console.log(article.title);
console.log(article.text.substring(0, 200) + '...');
Read Multiple Pages
javascript
import ZAI from 'z-ai-web-dev-sdk';

async function readMultiplePages(urls) {
  const zai = await ZAI.create();
  const results = [];

  for (const url of urls) {
    try {
      const result = await zai.functions.invoke('page_reader', {
        url: url
      });

      results.push({
        url: url,
        success: true,
        data: result.data
      });
    } catch (error) {
      results.push({
        url: url,
        success: false,
        error: error.message
      });
    }
  }

  return results;
}

// Usage
const urls = [
  'https://example.com/article1',
  'https://example.com/article2',
  'https://example.com/article3'
];

const pages = await readMultiplePages(urls);
pages.forEach(page => {
  if (page.success) {
    console.log(`✓ ${page.data.title}`);
  } else {
    console.log(`✗ ${page.url}: ${page.error}`);
  }
});

Advanced Use Cases

Web Content Analyzer
javascript
import ZAI from 'z-ai-web-dev-sdk';

class WebContentAnalyzer {
  constructor() {
    this.cache = new Map();
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  async readPage(url, useCache = true) {
    // Check cache
    if (useCache && this.cache.has(url)) {
      console.log('Returning cached result for:', url);
      return this.cache.get(url);
    }

    // Fetch fresh content
    const result = await this.zai.functions.invoke('page_reader', {
      url: url
    });

    // Cache the result
    if (useCache) {
      this.cache.set(url, result.data);
    }

    return result.data;
  }

  async getPageMetadata(url) {
    const data = await this.readPage(url);

    return {
      title: data.title,
      url: data.url,
      publishedTime: data.publishedTime,
      contentLength: data.html.length,
      wordCount: this.estimateWordCount(data.html)
    };
  }

  estimateWordCount(html) {
    const text = html.replace(/<[^>]*>/g, ' ');
    const words = text.split(/\s+/).filter(word => word.length > 0);
    return words.length;
  }

  async comparePages(url1, url2) {
    const [page1, page2] = await Promise.all([
      this.readPage(url1),
      this.readPage(url2)
    ]);

    return {
      page1: {
        title: page1.title,
        wordCount: this.estimateWordCount(page1.html),
        published: page1.publishedTime
      },
      page2: {
        title: page2.title,
        wordCount: this.estimateWordCount(page2.html),
        published: page2.publishedTime
      }
    };
  }

  clearCache() {
    this.cache.clear();
  }
}

// Usage
const analyzer = new WebContentAnalyzer();
await analyzer.initialize();

const metadata = await analyzer.getPageMetadata('https://example.com/article');
console.log('Article Metadata:', metadata);

const comparison = await analyzer.comparePages(
  'https://example.com/article1',
  'https://example.com/article2'
);
console.log('Comparison:', comparison);
RSS Feed Reader
javascript
import ZAI from 'z-ai-web-dev-sdk';

class FeedReader {
  constructor() {
    this.articles = [];
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  async fetchArticlesFromUrls(urls) {
    const articles = [];

    for (const url of urls) {
      try {
        const result = await this.zai.functions.invoke('page_reader', {
          url: url
        });

        articles.push({
          title: result.data.title,
          url: result.data.url,
          publishedTime: result.data.publishedTime,
          content: result.data.html,
          fetchedAt: new Date().toISOString()
        });

        console.log(`Fetched: ${result.data.title}`);
      } catch (error) {
        console.error(`Failed to fetch ${url}:`, error.message);
      }
    }

    this.articles = articles;
    return articles;
  }

  getRecentArticles(limit = 10) {
    return this.articles
      .sort((a, b) => {
        const dateA = new Date(a.publishedTime || a.fetchedAt);
        const dateB = new Date(b.publishedTime || b.fetchedAt);
        return dateB - dateA;
      })
      .slice(0, limit);
  }

  searchArticles(keyword) {
    return this.articles.filter(article => {
      const searchText = `${article.title} ${article.content}`.toLowerCase();
      return searchText.includes(keyword.toLowerCase());
    });
  }
}

// Usage
const reader = new FeedReader();
await reader.initialize();

const feedUrls = [
  'https://example.com/article1',
  'https://example.com/article2',
  'https://example.com/article3'
];

await reader.fetchArticlesFromUrls(feedUrls);
const recent = reader.getRecentArticles(5);
console.log('Recent articles:', recent.map(a => a.title));
Content Aggregator
javascript
import ZAI from 'z-ai-web-dev-sdk';

async function aggregateContent(urls, options = {}) {
  const zai = await ZAI.create();
  const aggregated = {
    sources: [],
    totalWords: 0,
    aggregatedAt: new Date().toISOString()
  };

  for (const url of urls) {
    try {
      const result = await zai.functions.invoke('page_reader', {
        url: url
      });

      const text = result.data.html.replace(/<[^>]*>/g, ' ');
      const wordCount = text.split(/\s+/).filter(w => w.length > 0).length;

      aggregated.sources.push({
        title: result.data.title,
        url: result.data.url,
        publishedTime: result.data.publishedTime,
        wordCount: wordCount,
        excerpt: text.substring(0, 200).trim() + '...'
      });

      aggregated.totalWords += wordCount;

      if (options.delay) {
        await new Promise(resolve => setTimeout(resolve, options.delay));
      }
    } catch (error) {
      console.error(`Failed to fetch ${url}:`, error.message);
    }
  }

  return aggregated;
}

// Usage
const sources = [
  'https://example.com/news1',
  'https://example.com/news2',
  'https://example.com/news3'
];

const aggregated = await aggregateContent(sources, { delay: 1000 });
console.log(`Aggregated ${aggregated.sources.length} sources`);
console.log(`Total words: ${aggregated.totalWords}`);
Web Scraping Pipeline
javascript
import ZAI from 'z-ai-web-dev-sdk';

class ScrapingPipeline {
  constructor() {
    this.processors = [];
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  addProcessor(name, processorFn) {
    this.processors.push({ name, fn: processorFn });
  }

  async scrape(url) {
    // Fetch the page
    const result = await this.zai.functions.invoke('page_reader', {
      url: url
    });

    let data = {
      raw: result.data,
      processed: {}
    };

    // Run through processors
    for (const processor of this.processors) {
      try {
        data.processed[processor.name] = await processor.fn(data.raw);
        console.log(`✓ Processed with ${processor.name}`);
      } catch (error) {
        console.error(`✗ Failed ${processor.name}:`, error.message);
        data.processed[processor.name] = null;
      }
    }

    return data;
  }
}

// Processor functions
function extractLinks(pageData) {
  const linkRegex = /href=["'](https?:\/\/[^"']+)["']/g;
  const links = [];
  let match;

  while ((match = linkRegex.exec(pageData.html)) !== null) {
    links.push(match[1]);
  }

  return [...new Set(links)]; // Remove duplicates
}

function extractImages(pageData) {
  const imgRegex = /src=["'](https?:\/\/[^"']+\.(jpg|jpeg|png|gif|webp))["']/gi;
  const images = [];
  let match;

  while ((match = imgRegex.exec(pageData.html)) !== null) {
    images.push(match[1]);
  }

  return [...new Set(images)];
}

function extractPlainText(pageData) {
  return pageData.html
    .replace(/<script[^>]*>[\s\S]*?<\/script>/gi, '')
    .replace(/<style[^>]*>[\s\S]*?<\/style>/gi, '')
    .replace(/<[^>]*>/g, ' ')
    .replace(/\s+/g, ' ')
    .trim();
}

// Usage
const pipeline = new ScrapingPipeline();
await pipeline.initialize();

pipeline.addProcessor('links', extractLinks);
pipeline.addProcessor('images', extractImages);
pipeline.addProcessor('plainText', extractPlainText);

const result = await pipeline.scrape('https://example.com/article');
console.log('Links found:', result.processed.links.length);
console.log('Images found:', result.processed.images.length);
console.log('Text length:', result.processed.plainText.length);

Response Format

Successful Response
typescript
{
  code: 200,
  status: 200,
  data: {
    title: "Article Title",
    url: "https://example.com/article",
    html: "<div>Article content...</div>",
    publishedTime: "2025-01-15T10:30:00Z",
    usage: {
      tokens: 1500
    }
  },
  meta: {
    usage: {
      tokens: 1500
    }
  }
}
Response Fields
FieldTypeDescription
codenumberResponse status code
statusnumberHTTP status code
data.titlestringPage title
data.urlstringPage URL
data.htmlstringExtracted HTML content
data.publishedTimestringPublication date (optional)
data.usage.tokensnumberTokens used for processing
meta.usage.tokensnumberTotal tokens used

Best Practices

1. Error Handling
javascript
async function safeReadPage(url) {
  try {
    const zai = await ZAI.create();

    // Validate URL
    if (!url || !url.startsWith('http')) {
      throw new Error('Invalid URL format');
    }

    const result = await zai.functions.invoke('page_reader', {
      url: url
    });

    // Check response status
    if (result.code !== 200) {
      throw new Error(`Failed to fetch page: ${result.code}`);
    }

    // Verify essential data
    if (!result.data.html || !result.data.title) {
      throw new Error('Incomplete page data received');
    }

    return {
      success: true,
      data: result.data
    };
  } catch (error) {
    console.error('Page reading error:', error);
    return {
      success: false,
      error: error.message
    };
  }
}
2. Rate Limiting
javascript
class RateLimitedReader {
  constructor(requestsPerMinute = 10) {
    this.requestsPerMinute = requestsPerMinute;
    this.requestTimes = [];
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  async readPage(url) {
    await this.waitForRateLimit();

    const result = await this.zai.functions.invoke('page_reader', {
      url: url
    });

    this.requestTimes.push(Date.now());
    return result.data;
  }

  async waitForRateLimit() {
    const now = Date.now();
    const oneMinuteAgo = now - 60000;

    // Remove old timestamps
    this.requestTimes = this.requestTimes.filter(time => time > oneMinuteAgo);

    // Check if we need to wait
    if (this.requestTimes.length >= this.requestsPerMinute) {
      const oldestRequest = this.requestTimes[0];
      const waitTime = 60000 - (now - oldestRequest);

      if (waitTime > 0) {
        console.log(`Rate limit reached. Waiting ${waitTime}ms...`);
        await new Promise(resolve => setTimeout(resolve, waitTime));
      }
    }
  }
}

// Usage
const reader = new RateLimitedReader(10); // 10 requests per minute
await reader.initialize();

const urls = ['https://example.com/1', 'https://example.com/2'];
for (const url of urls) {
  const data = await reader.readPage(url);
  console.log('Fetched:', data.title);
}
3. Caching Strategy
javascript
import ZAI from 'z-ai-web-dev-sdk';

class CachedWebReader {
  constructor(cacheDuration = 3600000) { // 1 hour default
    this.cache = new Map();
    this.cacheDuration = cacheDuration;
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  async readPage(url, forceRefresh = false) {
    const cacheKey = url;
    const cached = this.cache.get(cacheKey);

    // Return cached if valid and not forcing refresh
    if (cached && !forceRefresh) {
      const age = Date.now() - cached.timestamp;
      if (age < this.cacheDuration) {
        console.log('Returning cached content for:', url);
        return cached.data;
      }
    }

    // Fetch fresh content
    const result = await this.zai.functions.invoke('page_reader', {
      url: url
    });

    // Update cache
    this.cache.set(cacheKey, {
      data: result.data,
      timestamp: Date.now()
    });

    return result.data;
  }

  clearCache() {
    this.cache.clear();
  }

  getCacheStats() {
    return {
      size: this.cache.size,
      entries: Array.from(this.cache.keys())
    };
  }
}

// Usage
const reader = new CachedWebReader(3600000); // 1 hour cache
await reader.initialize();

const data1 = await reader.readPage('https://example.com'); // Fresh fetch
const data2 = await reader.readPage('https://example.com'); // From cache
const data3 = await reader.readPage('https://example.com', true); // Force refresh
4. Parallel Processing
javascript
import ZAI from 'z-ai-web-dev-sdk';

async function readPagesInParallel(urls, concurrency = 3) {
  const zai = await ZAI.create();
  const results = [];
  
  // Process in batches
  for (let i = 0; i < urls.length; i += concurrency) {
    const batch = urls.slice(i, i + concurrency);
    
    const batchResults = await Promise.allSettled(
      batch.map(url =>
        zai.functions.invoke('page_reader', { url })
          .then(result => ({
            url: url,
            success: true,
            data: result.data
          }))
          .catch(error => ({
            url: url,
            success: false,
            error: error.message
          }))
      )
    );

    results.push(...batchResults.map(r => r.value));
    console.log(`Completed batch ${Math.floor(i / concurrency) + 1}`);
  }

  return results;
}

// Usage
const urls = [
  'https://example.com/1',
  'https://example.com/2',
  'https://example.com/3',
  'https://example.com/4',
  'https://example.com/5'
];

const results = await readPagesInParallel(urls, 2); // 2 concurrent requests
results.forEach(result => {
  if (result.success) {
    console.log(`✓ ${result.data.title}`);
  } else {
    console.log(`✗ ${result.url}: ${result.error}`);
  }
});
5. Content Processing
javascript
import ZAI from 'z-ai-web-dev-sdk';

class ContentProcessor {
  static extractMainContent(html) {
    // Remove scripts, styles, and comments
    let content = html
      .replace(/<script[^>]*>[\s\S]*?<\/script>/gi, '')
      .replace(/<style[^>]*>[\s\S]*?<\/style>/gi, '')
      .replace(/<!--[\s\S]*?-->/g, '');

    return content;
  }

  static htmlToPlainText(html) {
    return html
      .replace(/<br\s*\/?>/gi, '\n')
      .replace(/<\/p>/gi, '\n\n')
      .replace(/<[^>]*>/g, '')
      .replace(/&nbsp;/g, ' ')
      .replace(/&amp;/g, '&')
      .replace(/&lt;/g, '<')
      .replace(/&gt;/g, '>')
      .replace(/&quot;/g, '"')
      .replace(/\s+/g, ' ')
      .trim();
  }

  static extractMetadata(html) {
    const metadata = {};

    // Extract meta description
    const descMatch = html.match(/<meta\s+name=["']description["']\s+content=["']([^"']+)["']/i);
    if (descMatch) metadata.description = descMatch[1];

    // Extract keywords
    const keywordsMatch = html.match(/<meta\s+name=["']keywords["']\s+content=["']([^"']+)["']/i);
    if (keywordsMatch) metadata.keywords = keywordsMatch[1].split(',').map(k => k.trim());

    // Extract author
    const authorMatch = html.match(/<meta\s+name=["']author["']\s+content=["']([^"']+)["']/i);
    if (authorMatch) metadata.author = authorMatch[1];

    return metadata;
  }
}

// Usage
async function processWebPage(url) {
  const zai = await ZAI.create();
  const result = await zai.functions.invoke('page_reader', { url });

  return {
    title: result.data.title,
    url: result.data.url,
    mainContent: ContentProcessor.extractMainContent(result.data.html),
    plainText: ContentProcessor.htmlToPlainText(result.data.html),
    metadata: ContentProcessor.extractMetadata(result.data.html),
    publishedTime: result.data.publishedTime
  };
}

const processed = await processWebPage('https://example.com/article');
console.log('Processed content:', processed.title);

Common Use Cases

  1. News Aggregation: Collect and aggregate news articles from multiple sources
  2. Content Monitoring: Track changes on specific web pages
  3. Research Tools: Extract information from academic or reference websites
  4. Price Tracking: Monitor product pages for price changes
  5. SEO Analysis: Extract page metadata and content for SEO purposes
  6. Archive Creation: Create local copies of web content
  7. Content Curation: Collect and organize web content by topic
  8. Competitive Intelligence: Monitor competitor websites for updates
Show full SKILL.md (285 more words)Show less

Integration Examples

Express.js API Endpoint
javascript
import express from 'express';
import ZAI from 'z-ai-web-dev-sdk';

const app = express();
app.use(express.json());

let zaiInstance;

async function initZAI() {
  zaiInstance = await ZAI.create();
}

app.post('/api/read-page', async (req, res) => {
  try {
    const { url } = req.body;

    if (!url) {
      return res.status(400).json({ 
        error: 'URL is required' 
      });
    }

    const result = await zaiInstance.functions.invoke('page_reader', {
      url: url
    });

    res.json({
      success: true,
      data: {
        title: result.data.title,
        url: result.data.url,
        content: result.data.html,
        publishedTime: result.data.publishedTime,
        tokensUsed: result.data.usage.tokens
      }
    });
  } catch (error) {
    res.status(500).json({
      success: false,
      error: error.message
    });
  }
});

app.post('/api/read-multiple', async (req, res) => {
  try {
    const { urls } = req.body;

    if (!urls || !Array.isArray(urls)) {
      return res.status(400).json({ 
        error: 'URLs array is required' 
      });
    }

    const results = await Promise.allSettled(
      urls.map(url =>
        zaiInstance.functions.invoke('page_reader', { url })
          .then(result => ({
            url: url,
            success: true,
            data: result.data
          }))
          .catch(error => ({
            url: url,
            success: false,
            error: error.message
          }))
      )
    );

    res.json({
      success: true,
      results: results.map(r => r.value)
    });
  } catch (error) {
    res.status(500).json({
      success: false,
      error: error.message
    });
  }
});

initZAI().then(() => {
  app.listen(3000, () => {
    console.log('Web reader API running on port 3000');
  });
});
Scheduled Content Fetcher
javascript
import ZAI from 'z-ai-web-dev-sdk';
import cron from 'node-cron';

class ScheduledFetcher {
  constructor() {
    this.urls = [];
    this.results = [];
  }

  async initialize() {
    this.zai = await ZAI.create();
  }

  addUrl(url, schedule) {
    this.urls.push({ url, schedule });
  }

  async fetchContent(url) {
    try {
      const result = await this.zai.functions.invoke('page_reader', {
        url: url
      });

      return {
        url: url,
        success: true,
        title: result.data.title,
        content: result.data.html,
        fetchedAt: new Date().toISOString()
      };
    } catch (error) {
      return {
        url: url,
        success: false,
        error: error.message,
        fetchedAt: new Date().toISOString()
      };
    }
  }

  startScheduledFetch(url, schedule) {
    cron.schedule(schedule, async () => {
      console.log(`Fetching ${url}...`);
      const result = await this.fetchContent(url);
      this.results.push(result);
      
      // Keep only last 100 results
      if (this.results.length > 100) {
        this.results = this.results.slice(-100);
      }
      
      console.log(`Fetched: ${result.success ? result.title : result.error}`);
    });
  }

  start() {
    for (const { url, schedule } of this.urls) {
      this.startScheduledFetch(url, schedule);
    }
  }

  getResults() {
    return this.results;
  }
}

// Usage
const fetcher = new ScheduledFetcher();
await fetcher.initialize();

// Fetch every hour
fetcher.addUrl('https://example.com/news', '0 * * * *');

// Fetch every day at midnight
fetcher.addUrl('https://example.com/daily', '0 0 * * *');

fetcher.start();
console.log('Scheduled fetching started');

Troubleshooting

Issue: "SDK must be used in backend"

  • Solution: Ensure z-ai-web-dev-sdk is only imported and used in server-side code

Issue: Failed to fetch page (404, 403, etc.)

  • Solution: Verify the URL is accessible and not behind authentication/paywall

Issue: Incomplete or missing content

  • Solution: Some pages may have dynamic content that requires JavaScript. The reader extracts static HTML content.

Issue: High token usage

  • Solution: The token usage depends on page size. Consider caching frequently accessed pages.

Issue: Slow response times

  • Solution: Implement caching, use parallel processing for multiple URLs, and consider rate limiting

Issue: Empty HTML content

  • Solution: Check if the page requires authentication or has anti-scraping measures. Verify the URL is correct.

Performance Tips

  1. Implement caching: Cache frequently accessed pages to reduce API calls
  2. Use parallel processing: Fetch multiple pages concurrently (with rate limiting)
  3. Process content efficiently: Extract only needed information from HTML
  4. Set timeouts: Implement reasonable timeouts for page fetching
  5. Monitor token usage: Track usage to optimize costs
  6. Batch operations: Group multiple URL fetches when possible

Security Considerations

  • Validate all URLs before processing
  • Sanitize extracted HTML content before displaying
  • Implement rate limiting to prevent abuse
  • Never expose SDK credentials in client-side code
  • Be respectful of robots.txt and website terms of service
  • Handle user data according to privacy regulations
  • Implement proper error handling for failed requests

Remember

  • Always use z-ai-web-dev-sdk in backend code only
  • The SDK is already installed - import as shown in examples
  • Implement proper error handling for robust applications
  • Use caching to improve performance and reduce costs
  • Respect website terms of service and rate limits
  • Process HTML content carefully to extract meaningful data
  • Monitor token usage for cost optimization

© jjyaoao, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in skills/web-reader of jjyaoao/HelloAgents.

  • SKILL.md
  • LICENSE.txt
  • scripts/web-reader.ts

Open the folder on GitHubat commit c597a7c

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in jjyaoao/HelloAgents, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Web Reader next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Web Reader compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Web Reader this skilljjyaoao/HelloAgents3.2k1 repos~7.1kAutomated safety check: PassMIT
Tmuxtrpc-group/trpc-agent-go1.8k24 repos~868Automated safety check: PassApache-2.0
Ketch1broseidon/ketch6971 repos~3.9kAutomated safety check: PassMIT
Crawl4AI Web Scrapingsmallnest/goclaw5981 repos~2.5kAutomated safety check: PassMIT
Boss Zhipin Scrapereatmoreduck/boss-zhipin-scraper1.5k—~2.6kAutomated safety check: PassMIT
Axyusukebe/ax7191 repos~918Automated safety check: PassMIT

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  • DOCX

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  • Frontend Design

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Works with

Questions about Web Reader

What does Web Reader do?

Implement web page content extraction capabilities using the z-ai-web-dev-sdk. Web Reader is an agent skill from jjyaoao/HelloAgents. Implement web page content extraction capabilities using the z-ai-web-dev-sdk.

When should I use Web Reader?

Web Reader fits situations like: the user needs to scrape web pages; extract article content; retrieve page metadata; build applications that process web content.

How do I install Web Reader in Claude Code?

Run `npx skills add jjyaoao/HelloAgents --skill web-reader -a claude-code`. Or copy the skill folder (skills/web-reader in jjyaoao/HelloAgents) into .claude/skills/web-reader in your project. Claude Code loads it when a task matches its description.

How do I install Web Reader in Codex?

Run `npx skills add jjyaoao/HelloAgents --skill web-reader -a codex`. Or copy the skill folder (skills/web-reader in jjyaoao/HelloAgents) into .agents/skills/web-reader in your project. Codex loads it when a task matches its description.

Can I use Web Reader in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jjyaoao/HelloAgents --skill web-reader -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/web-reader, .gemini/skills/web-reader, .github/skills/web-reader and .opencode/skills/web-reader in your project.

What does Web Reader need to run?

Going by SKILL.md and its folder, Web Reader needs TypeScript for the scripts in its folder. Our summary lists: Node.js.

Does Web Reader access the network?

SKILL.md names 5 domains. In commands or code: techblog.com, research.org, site1.com, site2.com and site3.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Web Reader safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Web Reader use?

Web Reader is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Web Reader use?

About 7.1k tokens (SKILL.md is roughly 28k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Web Reader?

Skills that share tags, products or a category with Web Reader: Tmux (trpc-group/trpc-agent-go, 1.8k stars), Ketch (1broseidon/ketch, 697 stars), Crawl4AI Web Scraping (smallnest/goclaw, 598 stars) and Boss Zhipin Scraper (eatmoreduck/boss-zhipin-scraper, 1.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Web Reader?

jjyaoao (a GitHub user) maintains it in jjyaoao/HelloAgents, which has 3,167 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 6, 2026.

Source: jjyaoao/HelloAgents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.