Project comparison
Compare adoption, momentum, maintenance health, and project basics before choosing which tool to evaluate deeper.
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) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0
Best matched with other agent tools.
Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.
Best matched with other agent tools.
Archify has the larger GitHub footprint with 76.9K stars.
Anthropic Cybersecurity Skills is currently growing faster at +24.7K stars this week.
Archify has the stronger automated maintenance signal at 69/100. This is not a security or fit verdict.
Use these signals to narrow your choice, then confirm setup, license, and fit upstream.
| Signal | Anthropic Cybersecurity Skills | Archify |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Basic listing· 2026-10-04 09:17 UTC |
| GitHub stars | 30.9K | 76.9K |
| Weekly growth | +24.7K | 0 |
| Health score | Healthy66/100 | Healthy69/100 |
| Contributors | 16 | 75 |
| Commits per week | 6.4 | 64.0 |
| Open issues | 42 | 199 |
| Language | Python | JavaScript |
| License | Apache-2.0 | MIT |
| Last commit | 2026-08-23 16:22 UTC | 2026-10-04 08:57 UTC |
| Last release | v1.3.0 | v3.0.1 |
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