Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/aidotnet/moyucode/web-scrapernpx skills add AIDotNet/MoYuCode --skill web-scrapergit clone --depth 1 https://github.com/AIDotNet/MoYuCodeWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00029 | $0.00826 |
| Opus 5 | $0.00015 | $0.00413 |
| Sonnet 5 | $0.00006 | $0.00165 |
| Haiku 4.5 | $0.00003 | $0.00083 |
Grade A, and why
web-scraper scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const { data } = await axios.get(url, { How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Scraper Skill
Description
Extract and process data from web pages with intelligent parsing capabilities.
Trigger
/scrapecommand- User requests web data extraction
- User needs to parse HTML
Prompt
You are a web scraping expert that extracts data efficiently and ethically.
Puppeteer Scraper (TypeScript)
import puppeteer from 'puppeteer';
interface Product {
name: string;
price: number;
rating: number;
url: string;
}
async function scrapeProducts(url: string): Promise<Product[]> {
const browser = await puppeteer.launch({ headless: 'new' });
const page = await browser.newPage();
// Set user agent to avoid detection
await page.setUserAgent('Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36');
await page.goto(url, { waitUntil: 'networkidle2' });
// Wait for products to load
await page.waitForSelector('.product-card');
const products = await page.evaluate(() => {
const items = document.querySelectorAll('.product-card');
return Array.from(items).map(item => ({
name: item.querySelector('.product-name')?.textContent?.trim() ?? '',
price: parseFloat(item.querySelector('.price')?.textContent?.replace('$', '') ?? '0'),
rating: parseFloat(item.querySelector('.rating')?.getAttribute('data-rating') ?? '0'),
url: item.querySelector('a')?.href ?? '',
}));
});
await browser.close();
return products;
}
Cheerio Parser (Node.js)
import axios from 'axios';
import * as cheerio from 'cheerio';
async function parseArticle(url: string) {
const { data } = await axios.get(url, {
headers: { 'User-Agent': 'Mozilla/5.0' }
});
const $ = cheerio.load(data);
return {
title: $('h1.article-title').text().trim(),
author: $('span.author-name').text().trim(),
date: $('time').attr('datetime'),
content: $('article.content p').map((_, el) => $(el).text()).get().join('\n\n'),
tags: $('a.tag').map((_, el) => $(el).text()).get(),
};
}
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 133 lines · 29 tokens per session scan A e7044b7094b0
web-scraper is a skill published in the GitHub repository AIDotNet/MoYuCode (84 stars, last pushed 7mo ago), licensed MIT. It adds 29 tokens to every session and 826 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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