head to head · open source
Anthropic-Cybersecurity-Skills vs emba
Anthropic-Cybersecurity-Skills has 35,530 GitHub stars, 4,327 forks, 48 open issues and last shipped 2 months ago. emba has 3,749 stars, 344 forks, 13 open issues and last shipped yesterday. Anthropic-Cybersecurity-Skills leads on adoption by 848% (35,530 vs 3,749 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; emba is written in Shell under GPL-3.0. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, emba 9%. emba was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (infosec), 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 | emba | |
|---|---|---|
| GitHub stars | ★ 36K | ★ 3.7K |
| License | Apache-2.0 | GPL-3.0 |
| Written in | Python | Shell |
| Last push | 2026-08-31 | 2026-11-03 |
| Forks | ⑂ 4.3K | ⑂ 344 |
| 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 emba if
- You want the emba feature set and don't need the biggest community
- You prefer the GPL-3.0 license terms
- Your stack matches Shell
- You evaluated both and emba 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 emba
EMBA The security analyzer for firmware of embedded devices EMBA is designed as the central firmware analysis and SBOM tool for penetration testers, product security teams, developers and responsible product managers. It supports the complete security analysis process starting with firmware extraction , doing static analysis and dynamic analysis via emulation, building the SBOM and finally generating a web based vulnerability report. EMBA automatically discovers possible weak spots and vulnerabilities in firmware. Examples are insecure binaries, old and outdated software components, potentially vulnerable…
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or emba more popular?
Anthropic-Cybersecurity-Skills has 35,530 GitHub stars and emba has 3,749. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and emba free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and emba under GPL-3.0. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and emba?
Anthropic-Cybersecurity-Skills is written in Python and emba 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 emba?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (35,530 stars) or its Apache-2.0 licence terms. Choose emba if its feature set, stack or GPL-3.0 licence fits better. Both are self-hostable.