head to head · open source
Anthropic-Cybersecurity-Skills vs Snitch
Anthropic-Cybersecurity-Skills has 34,872 GitHub stars, 4,243 forks, 48 open issues and last shipped 2 months ago. Snitch has 522 stars, 33 forks, 6 open issues and last shipped 2 days ago. Anthropic-Cybersecurity-Skills leads on adoption by 6,580% (34,872 vs 522 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; Snitch is written in Python under AGPL-3.0. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, Snitch 6%. Snitch was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (cybersecurity), 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 | Snitch | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 522 |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-08-31 | 2026-10-22 |
| Forks | ⑂ 4.2K | ⑂ 33 |
| 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 Snitch if
- You want the Snitch feature set and don't need the biggest community
- You prefer the AGPL-3.0 license terms
- Your stack matches Python
- You evaluated both and Snitch 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 Snitch
Snitch Track every hidden flow. / Traquez chaque flux masqué. English Français Español Deutsch Русский 日本語 Português 中文 ⭐ If Snitch helps you, a star means a lot! / Si Snitch vous aide, une étoile compte beaucoup ! ⭐ blue.svg) English Snitch is a real time network traffic visualizer. See every connection your computer makes — who it talks to, where they are, and which app is responsible. The entire interface is available in English, Français, Español, Deutsch, Русский, 日本語, Português (BR) and 简体中文 : use the language picker in the top right toolbar. Why Snitch? vs Little Snitch / Lulu — same idea (per app…
read the full Snitch overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or Snitch more popular?
Anthropic-Cybersecurity-Skills has 34,872 GitHub stars and Snitch has 522. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and Snitch free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and Snitch under AGPL-3.0. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and Snitch?
Anthropic-Cybersecurity-Skills is written in Python and Snitch 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 Snitch?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (34,872 stars) or its Apache-2.0 licence terms. Choose Snitch if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.