head to head · open source
Anthropic-Cybersecurity-Skills vs Tracecat
Anthropic-Cybersecurity-Skills has 35,453 GitHub stars, 4,318 forks, 48 open issues and last shipped 2 months ago. Tracecat has 3,884 stars, 439 forks, 137 open issues and last shipped yesterday. Anthropic-Cybersecurity-Skills leads on adoption by 813% (35,453 vs 3,884 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; Tracecat is written in Python under AGPL-3.0. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, Tracecat 11%. Tracecat was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (incident-response), 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 | Tracecat | |
|---|---|---|
| GitHub stars | ★ 35K | ★ 3.9K |
| License | Apache-2.0 | AGPL-3.0 |
| Written in | Python | Python |
| Last push | 2026-08-31 | 2026-11-02 |
| Forks | ⑂ 4.3K | ⑂ 439 |
| 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 Tracecat if
- You want the Tracecat 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 Tracecat 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 Tracecat
The agentic security automation platform. Introduction Tracecat is the open source security automation platform for teams and AI agents. Prompt to automations : build end to end automations with agents, workflows, cases, and tables from your own agent harness (e.g. Claude code, Codex, OpenCode). Code native : sync custom Python scripts from your Git repo into Tracecat. All in one : agents, workflows, lookup tables, and case management. Everything security teams need to automate work in one place. Deployment options : sign up for Tracecat managed Cloud, or self host with Docker, AWS Fargate, or Kubernetes Helm…
read the full Tracecat overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or Tracecat more popular?
Anthropic-Cybersecurity-Skills has 35,453 GitHub stars and Tracecat has 3,884. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and Tracecat free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and Tracecat under AGPL-3.0. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and Tracecat?
Anthropic-Cybersecurity-Skills is written in Python and Tracecat 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 Tracecat?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (35,453 stars) or its Apache-2.0 licence terms. Choose Tracecat if its feature set, stack or AGPL-3.0 licence fits better. Both are self-hostable.