head to head · open source
Anthropic-Cybersecurity-Skills vs ProjectDiscovery
Anthropic-Cybersecurity-Skills has 35,453 GitHub stars, 4,318 forks, 48 open issues and last shipped 2 months ago. ProjectDiscovery has 32,543 stars, 3,962 forks, 107 open issues and last shipped yesterday. Anthropic-Cybersecurity-Skills leads on adoption by 9% (35,453 vs 32,543 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; ProjectDiscovery is written in Go under MIT. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, ProjectDiscovery 12%. ProjectDiscovery 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 | ProjectDiscovery | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 33K |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-08-31 | 2026-11-02 |
| Forks | ⑂ 4.3K | ⑂ 4.0K |
| 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 ProjectDiscovery if
- You want the ProjectDiscovery feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and ProjectDiscovery 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 ProjectDiscovery
English • 中文 • Korean • Indonesia • Spanish • 日本語 • Portuguese • Türkçe Nuclei is a modern, high performance vulnerability scanner that leverages simple YAML based templates. It empowers you to design custom vulnerability detection scenarios that mimic real world conditions, leading to zero false positives. Simple YAML format for creating and customizing vulnerability templates. Contributed by thousands of security professionals to tackle trending vulnerabilities. Reduce false positives by simulating real world steps to verify a vulnerability. Ultra fast parallel scan processing and request clustering. Integrate…
read the full ProjectDiscovery overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or ProjectDiscovery more popular?
Anthropic-Cybersecurity-Skills has 35,453 GitHub stars and ProjectDiscovery has 32,543. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and ProjectDiscovery free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and ProjectDiscovery under MIT. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and ProjectDiscovery?
Anthropic-Cybersecurity-Skills is written in Python and ProjectDiscovery in Go. 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 ProjectDiscovery?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (35,453 stars) or its Apache-2.0 licence terms. Choose ProjectDiscovery if its feature set, stack or MIT licence fits better. Both are self-hostable.