head to head · open source
Anthropic-Cybersecurity-Skills vs pentagi
Anthropic-Cybersecurity-Skills has 32,960 GitHub stars, 3,985 forks, 48 open issues and last shipped 19 days ago. pentagi has 24,708 stars, 3,177 forks, 71 open issues and last shipped 9 days ago. Anthropic-Cybersecurity-Skills leads on adoption by 33% (32,960 vs 24,708 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; pentagi is written in Go under MIT. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, pentagi 13%. pentagi was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), 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 | pentagi | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 25K |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-08-31 | 2026-09-10 |
| Forks | ⑂ 4.0K | ⑂ 3.2K |
| 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 pentagi if
- You want the pentagi feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and pentagi 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 pentagi
PentAGI is an MIT licensed, self hosted multi agent system written in Go that runs fully autonomous AI agents to perform complex penetration testing tasks inside an isolated Docker sandbox, built for information security professionals, researchers, and enthusiasts.
read the full pentagi overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or pentagi more popular?
Anthropic-Cybersecurity-Skills has 32,960 GitHub stars and pentagi has 24,708. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and pentagi free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and pentagi under MIT. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and pentagi?
Anthropic-Cybersecurity-Skills is written in Python and pentagi 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 pentagi?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (32,960 stars) or its Apache-2.0 licence terms. Choose pentagi if its feature set, stack or MIT licence fits better. Both are self-hostable.