// Search the web and fetch web pages. Use when the user asks to search for information, look something up, or fetch a URL.
Anti-detect browser automation CLI & Skills for AI agents. Use when the user needs to interact with websites with bot detection, CAPTCHAs, or anti-bot blocks, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task that requires bypassing fingerprint checks.
Run this BEFORE any package install (pip / npm / apt / brew / cargo / gem / go install) you would otherwise execute via the exec tool — including when the user asks for a deliverable that needs third-party libraries (PDF generation, image processing, scrapers, dashboards, charts, OCR, audio/video, …). It searches the open agent-skill ecosystem (skills.sh) for an installable skill that already does the job; only fall back to direct package install if find-skills returns no credible match. Also covers explicit "find a skill for X" / "how do I do X" / "is there a skill that can..." requests, and any time the user expresses interest in extending agent capabilities.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Execute code in multiple programming languages. Use when the user asks to run, test, or debug code in Python, JavaScript, shell, or other languages.
Analyze data, process CSV/JSON files, compute statistics, and create data visualizations. Use when the user asks about data processing, statistics, or analysis.
Generate images, charts, plots, and visualizations. Use when the user asks to draw, plot, chart, visualize data, or create images.
| name | web-search |
| description | Search the web and fetch web pages. Use when the user asks to search for information, look something up, or fetch a URL. |
| metadata | {"fastclaw":{"always":false}} |
Search the web and fetch pages using the available tools.
If the web_fetch tool is available, use it to fetch and read web pages:
web_fetch(url="https://example.com")
If web_fetch is not available, use Python with requests:
import subprocess
subprocess.check_call(["pip", "install", "-q", "requests", "beautifulsoup4"])
import requests
from bs4 import BeautifulSoup
# Fetch a page
resp = requests.get("https://example.com", timeout=10)
soup = BeautifulSoup(resp.text, 'html.parser')
# Extract text content
text = soup.get_text(separator='\n', strip=True)
print(text[:2000]) # First 2000 chars
web_fetch tool if available — it's faster and cleaner