head to head · open source
Anthropic-Cybersecurity-Skills vs crlfuzz
Anthropic-Cybersecurity-Skills has 33,230 GitHub stars, 4,033 forks, 48 open issues and last shipped 23 days ago. crlfuzz has 1,566 stars, 146 forks, 1 open issues and last shipped 26 days ago. Anthropic-Cybersecurity-Skills leads on adoption by 2,022% (33,230 vs 1,566 stars). Anthropic-Cybersecurity-Skills is written in Python under Apache-2.0; crlfuzz is written in Go under MIT. Anthropic-Cybersecurity-Skills has attracted 12% as many forks as stars, crlfuzz 9%. Anthropic-Cybersecurity-Skills 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 | crlfuzz | |
|---|---|---|
| GitHub stars | ★ 33K | ★ 1.6K |
| License | Apache-2.0 | MIT |
| Written in | Python | Go |
| Last push | 2026-08-31 | 2026-08-28 |
| Forks | ⑂ 4.0K | ⑂ 146 |
| 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 crlfuzz if
- You want the crlfuzz feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Go
- You evaluated both and crlfuzz 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 crlfuzz
CRLFuzz is a fast, MIT licensed command line tool written in Go that scans web targets for CRLF injection vulnerabilities, aimed at penetration testers, bug bounty hunters, and security engineers who need to check either a single URL or a long list of them quickly.
read the full crlfuzz overview →
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Frequently asked questions
Is Anthropic-Cybersecurity-Skills or crlfuzz more popular?
Anthropic-Cybersecurity-Skills has 33,230 GitHub stars and crlfuzz has 1,566. Anthropic-Cybersecurity-Skills has the larger community by that measure.
Are Anthropic-Cybersecurity-Skills and crlfuzz free?
Both are open source. Anthropic-Cybersecurity-Skills is licensed under Apache-2.0 and crlfuzz under MIT. Neither carries a licence fee.
What is the difference between Anthropic-Cybersecurity-Skills and crlfuzz?
Anthropic-Cybersecurity-Skills is written in Python and crlfuzz 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 crlfuzz?
Choose Anthropic-Cybersecurity-Skills if you want the larger community (33,230 stars) or its Apache-2.0 licence terms. Choose crlfuzz if its feature set, stack or MIT licence fits better. Both are self-hostable.