No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by unclecode · MCP Server · ★ 84.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is crawl4ai safe to install? View the security audit →
🚀🤖 Crawl4AI: the open-source web crawler for LLMs and AI agents Latest: v0.9.4 (23 Sep 2026) · all releases → <img alt="Crawl4AI Cloud is live. Soft launch: your first $10 is on us until 31 December 2026, no card. Get your key." src="https://raw.githubusercontent.com/unclecode/crawl4ai/
| Stars | 84,244 |
| Forks | 8,713 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 54.0431458849492/100 |
| Open Issues | 197 |
| Last Updated | 2026-09-25 |
| Created | 2024-05-09 |
| Platforms | browser, mcp, python |
| Est. Tokens | ~13k |
These tools work well together with crawl4ai for enhanced workflows:
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Agents that use the browser.
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crawl4ai is Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.. It is categorized as a MCP Server with 84.2k GitHub stars.
crawl4ai is primarily written in Python. It covers topics such as ai, ai-agents, crawler.
You can find installation instructions and usage details in the crawl4ai GitHub repository at github.com/unclecode/crawl4ai. The project has 84.2k stars and 8713 forks, indicating an active community.
crawl4ai is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to crawl4ai on Agent Skills Hub include Scrapling, stagehand, headroom. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: