Anthropic-Cybersecurity-Skills vs Distilly
Side-by-side comparison of two AI agent tools
A
Anthropic-Cybersecurity-Skillsopen-source
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud
D
Distillyopen-source
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill（原同事 Skill）.
Metrics
| Anthropic-Cybersecurity-Skills | Distilly | |
|---|---|---|
| Stars | 33.6k | 25.2k |
| Star velocity /mo | 2.8k | 2.1k |
| Commits (90d) | 43 | 31 |
| Releases (6m) | 2 | 0 |
| Overall score | 0.6467299734035684 | 0.5824156271153126 |
FAQ
- Which is more popular, Anthropic-Cybersecurity-Skills or Distilly?
- Anthropic-Cybersecurity-Skills has more GitHub stars (33,622 vs 25,175).
- Which is more actively developed, Anthropic-Cybersecurity-Skills or Distilly?
- Anthropic-Cybersecurity-Skills had more commits in the last 90 days (43 vs 31).
- Should I use Anthropic-Cybersecurity-Skills or Distilly?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.