head to head · open source
Anthropic-Cybersecurity-Skills vs reconftw
Anthropic-Cybersecurity-Skills has 35,746 GitHub stars, 4,355 forks, 48 open issues and last shipped 2 months ago. reconftw has 8,340 stars, 1,262 forks, 5 open issues and last shipped 6 days ago. Anthropic-Cybersecurity-Skills leads on adoption by 329% (35,746 vs 8,340 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; reconftw is written in Shell under MIT. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, reconftw 15%. reconftw 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 | reconftw | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 8.3K |
| License | Apache-2.0 | MIT |
| Written in | Python | Shell |
| Last push | 2026-08-31 | 2026-11-02 |
| Forks | ⑂ 4.4K | ⑂ 1.3K |
| 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 reconftw if
- You want the reconftw feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Shell
- You evaluated both and reconftw 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 reconftw
reconFTW reconFTW is a powerful automated reconnaissance tool designed for security researchers and penetration testers. It streamlines the process of gathering intelligence on a target by performing subdomain enumeration, vulnerability scanning, OSINT and more. With a modular design, extensive configuration options, and support for distributed scanning via AX Framework, reconFTW is built to deliver comprehensive results efficiently. reconFTW leverages a wide range of techniques, including passive and active subdomain discovery, web vulnerability checks (e.g., XSS, SSRF, SQLi), OSINT, directory fuzzing, port…
read the full reconftw overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or reconftw more popular?
Anthropic-Cybersecurity-Skills has 35,746 GitHub stars and reconftw has 8,340. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and reconftw free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and reconftw under MIT. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and reconftw?
Anthropic-Cybersecurity-Skills is written in Python and reconftw in Shell. 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 reconftw?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (35,746 stars) or its Apache-2.0 licence terms. Choose reconftw if its feature set, stack or MIT licence fits better. Both are self-hostable.