head to head · open source
Anthropic-Cybersecurity-Skills vs Raccoon
Anthropic-Cybersecurity-Skills has 32,970 GitHub stars, 3,985 forks, 48 open issues and last shipped 19 days ago. Raccoon has 4,025 stars, 501 forks, 14 open issues and last shipped 5 months ago. Anthropic-Cybersecurity-Skills leads on adoption by 719% (32,970 vs 4,025 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 | ★ 33K | ★ 4.0K |
| License | Apache-2.0 | MIT |
| Written in | Python | Python |
| Last push | 2026-08-31 | 2026-04-21 |
| Forks | ⑂ 4.0K | ⑂ 501 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick Anthropic-Cybersecurity-Skills if
- You weight community size — 33K 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 is an Apache 2.0 Python library of 817 structured cybersecurity skills that gives AI agents the working knowledge of a senior security analyst, aimed at security teams, DevSecOps engineers, and red or blue teams that already run agents such as Claude Code, GitHub Copilot, Codex CLI, Cursor, or Gemini CLI.
read the full Anthropic-Cybersecurity-Skills overview →
About Raccoon
Raccoon is an open source, MIT licensed offensive security tool written in Python for reconnaissance and information gathering, built for penetration testers, bug bounty hunters, and security analysts who need to map a target's DNS, TLS, network, and web footprint from a single command line.
read the full Raccoon overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or Raccoon more popular?
Anthropic-Cybersecurity-Skills has 32,970 GitHub stars and Raccoon has 4,025. 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 (32,970 stars) or its Apache-2.0 licence terms. Choose Raccoon if its feature set, stack or MIT licence fits better. Both are self-hostable.