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 skills add besoeasy/open-skills --skill using-web-scrapinggit clone --depth 1 https://github.com/besoeasy/open-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/besoeasy/open-skills/using-web-scraping)<a href="https://agentmods.dev/skills/besoeasy/open-skills/using-web-scraping"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/using-web-scraping/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/besoeasy/open-skills/using-web-scraping"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/using-web-scraping.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 69 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
What 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 5.1 | $0.00024 | $0.00813 |
| Opus 5 | $0.00012 | $0.00407 |
| Sonnet 5 | $0.00005 | $0.00163 |
| Haiku 4.5 | $0.00002 | $0.00081 |
Grade A, and why
using-web-scraping scanned grade A with 0 findings 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 10d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Web Scraping Skill — Chrome (Playwright) + DuckDuckGo
A privacy-minded, agent-facing web-scraping skill that uses headless Chrome (Playwright/Puppeteer) and DuckDuckGo for search. Focuses on: reliable navigation, extracting structured text, obeying robots.txt, and rate-limiting.
When to use
- Collect public webpage content for summarization, metadata extraction, or link discovery.
- Use DuckDuckGo for queries when you want a privacy-respecting search source.
- NOT for bypassing paywalls, scraping private/logged-in content, or violating Terms of Service.
Safety & etiquette
- Always check and respect
/robots.txtbefore scraping a site. - Rate-limit requests (default: 1 request/sec) and use polite
User-Agentstrings. - Avoid executing arbitrary user-provided JavaScript on scraped pages.
- Only scrape public content; if login is required, return
login_requiredinstead of attempting to bypass.
Capabilities
- Search DuckDuckGo and return top-N result links.
- Visit result pages in headless Chrome and extract
title,meta description,maintext (or best-effort article text), andcanonicalURL. - Return results as structured JSON for downstream consumption.
Examples
Node.js (Playwright)
const { chromium } = require('playwright');
async function ddgSearchAndScrape(query) {
const browser = await chromium.launch({ headless: true });
const page = await browser.newPage({ userAgent: 'open-skills-bot/1.0' });
// DuckDuckGo search
await page.goto('https://duckduckgo.com/');
await page.fill('input[name="q"]', query);
await page.keyboard.press('Enter');
await page.waitForSelector('.result__title a');
// collect top result URL
const href = await page.getAttribute('.result__title a', 'href');
if (!href) { await browser.close(); return []; }
// visit result and extract
await page.goto(href, { waitUntil: 'domcontentloaded' });
const title = await page.title();
const description = await page.locator('meta[name="description"]').getAttribute('content').catch(() => null);
const article = await page.locator('article, main, #content').first().innerText().catch(() => null);
await browser.close();
return [{ url: href, title, description, text: article }];
}
// usage
// ddgSearchAndScrape('open-source agent runtimes').then(console.log);
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.
- 10d ago First seen · 78 lines · 24 tokens per session scan A fed39332bc03
using-web-scraping is a skill published in the GitHub repository besoeasy/open-skills (132 stars, last pushed 6d ago), licensed MIT. It adds 24 tokens to every session and 813 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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