head to head · open source

Anthropic-Cybersecurity-Skills vs Tracecat

Anthropic-Cybersecurity-Skills has 32,960 GitHub stars, 3,985 forks, 48 open issues and last shipped 19 days ago. Tracecat has 3,805 stars, 417 forks, 137 open issues and last shipped yesterday. Anthropic-Cybersecurity-Skills leads on adoption by 766% (32,960 vs 3,805 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.

Anthropic-Cybersecurity-Skills ★ 33K Tracecat ★ 3.8K category Security & Privacy

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Side by side

Anthropic-Cybersecurity-Skills Tracecat
GitHub stars ★ 33K ★ 3.8K
License Apache-2.0 AGPL-3.0
Written in Python Python
Last push 2026-08-31 2026-09-18
Forks ⑂ 4.0K ⑂ 417
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

full Anthropic-Cybersecurity-Skills profile →

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

full Tracecat profile →

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 Tracecat

Tracecat is an open source security automation platform for teams and AI agents. It lives in the security operations and incident response ecosystem, combining agents, workflows, lookup tables, and case management in one Python application. The project is licensed under AGPL 3.0, with a separate paid Enterprise Edition directory and feature gates.

read the full Tracecat overview →

More in Security & Privacy

PayloadsAllTheThings ★ 81K Puter ★ 44K Mattermost ★ 39K Keycloak ★ 37K Tailscale ★ 37K HashiCorp Vault ★ 36K

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Frequently asked questions

Is Anthropic-Cybersecurity-Skills or Tracecat more popular?

Anthropic-Cybersecurity-Skills has 32,960 GitHub stars and Tracecat has 3,805. 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 (32,960 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.