head to head · open source
Anthropic-Cybersecurity-Skills vs Raccoon
Anthropic-Cybersecurity-Skills has 35,453 GitHub stars, 4,318 forks, 48 open issues and last shipped 2 months ago. Raccoon has 4,064 stars, 500 forks, 14 open issues and last shipped 7 months ago. Anthropic-Cybersecurity-Skills leads on adoption by 772% (35,453 vs 4,064 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; Raccoon is written in Python under MIT. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, Raccoon 12%. Anthropic-Cybersecurity-Skills was the more recently maintained of the two, and both are self-hostable with no licence fee.
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 | Raccoon | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 4.1K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-08-31 | 2026-04-21 |
| Forks | ⑂ 4.3K | ⑂ 500 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Anthropic-Cybersecurity-Skills if
- You weight community size — 35K 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 Raccoon if
- You want the Raccoon feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and Raccoon 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…
read the full Anthropic-Cybersecurity-Skills overview →
About Raccoon
Raccoon Offensive Security Tool for Reconnaissance and Information Gathering Features [x] DNS details [x] DNS visual mapping using DNS dumpster [x] WHOIS information [x] TLS Data supported ciphers, TLS versions, certificate details and SANs [x] Port Scan [x] Services and scripts scan [x] URL fuzzing and dir/file detection [x] Subdomain enumeration uses Google dorking, DNS dumpster queries, SAN discovery and bruteforce [x] Web application data retrieval: CMS detection Web server info and X Powered By robots.txt and sitemap extraction Cookie inspection Extracts all fuzzable URLs Discovers HTML forms Retrieves all…
read the full Raccoon overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or Raccoon more popular?
Anthropic-Cybersecurity-Skills has 35,453 GitHub stars and Raccoon has 4,064. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and Raccoon free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and Raccoon under MIT. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and Raccoon?
Anthropic-Cybersecurity-Skills is written in Python and Raccoon 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 Raccoon?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (35,453 stars) or its Apache-2.0 licence terms. Choose Raccoon if its feature set, stack or MIT licence fits better. Both are self-hostable.