head to head · open source
Anthropic-Cybersecurity-Skills vs ARL-Next
Anthropic-Cybersecurity-Skills has 35,746 GitHub stars, 4,355 forks, 48 open issues and last shipped 2 months ago. ARL-Next has 504 stars, 92 forks, 5 open issues and last shipped 3 days ago. Anthropic-Cybersecurity-Skills leads on adoption by 6,992% (35,746 vs 504 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; ARL-Next is written in Python under GPL-3.0. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, ARL-Next 18%. ARL-Next was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 2 topic tags (infosec, mcp), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| Anthropic-Cybersecurity-Skills | ARL-Next | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 504 |
| License | Apache-2.0 | GPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-08-31 | 2026-11-05 |
| Forks | ⑂ 4.4K | ⑂ 92 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Anthropic-Cybersecurity-Skills if
- You weight community size — 36K stars and counting
- You want the Apache-2.0 license terms
- Your stack matches Python
- You value the larger contributor base for long-term maintenance
pick ARL-Next if
- You want the ARL-Next feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Python
- You evaluated both and ARL-Next fits your workflow better
About Anthropic-Cybersecurity-Skills
Anthropic Cybersecurity Skills The largest open source cybersecurity skills library for AI agents 818 production grade cybersecurity skills · 34 security domains · 6 framework mappings · 26+ AI platforms Get Started · What's Inside · Frameworks · Platforms · Contributing ⚠️ Community Project — This is an independent, community created project. Not affiliated with Anthropic PBC. 🔐 Authorized & lawful use only. This library includes offensive and dual use techniques (e.g. red team C2, phishing simulation, exploitation) intended for authorized penetration testing, security research, defense, and education . Only…
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About ARL-Next
English 简体中文 ARL Next 现代化资产测绘与漏洞监控平台 Modern Attack Surface Reconnaissance & Asset Intelligence Platform 企业资产关联 · 异步解耦调度 · 原生 MCP 协议集成 · 容器化开箱部署 🚀 快速入门（5 分钟） • ⚡ 快速部署指南 • 💡 架构演进对比 • ✨ 核心特性 • 🔌 API对接指南 • 🤖 MCP配置指南 • 🎯 MCP实战用例 • 📜 更新日志 • 💬 讨论交流 • 📄 开源协议 💡 什么是 ARL Next？ ARL Next 是基于经典开源项目 ARL (资产侦察灯塔) 进行架构重构与持续演进的资产测绘平台。 针对大规模扫描场景下的任务队列阻塞、长时间运行内存增长以及历史依赖过时等工程瓶颈，系统实施了微服务拆分与异步任务解耦，全面升级现代运行时环境与测绘工具链，并集成了 Model Context Protocol (MCP) 标准协议，支持自动化资产透视与 AI 协同分析。 💡 架构演进与技术方案基准对比 ✨ 核心特性矩阵 🤖 AI Agent 原生集成与 MCP 治理中心 (MCP 2.0) ：遵循 Model Context Protocol (2024 11 05) 标准，提供 远程原生 SSE 直连 （Cursor / Claude Desktop 粘贴即用）与 本地…
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or ARL-Next more popular?
Anthropic-Cybersecurity-Skills has 35,746 GitHub stars and ARL-Next has 504. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and ARL-Next free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and ARL-Next under GPL-3.0. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and ARL-Next?
Anthropic-Cybersecurity-Skills is written in Python and ARL-Next in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, Anthropic-Cybersecurity-Skills or ARL-Next?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (35,746 stars) or its Apache-2.0 licence terms. Choose ARL-Next if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.