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.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Best matched with other agent tools.
ponytail has the larger GitHub footprint with 154.0K stars.
Anthropic Cybersecurity Skills is currently growing faster at +24.7K stars this week.
ponytail has the stronger automated maintenance signal at 84/100. 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 | ponytail |
|---|---|---|
| Evidence status | Basic listing· 2026-10-04 09:18 UTC | Verified snapshot· 2026-10-04 09:19 UTC |
| GitHub stars | 30.9K | 154.0K |
| Weekly growth | +24.7K | +2.3K |
| Health score | Healthy66/100 | Strong84/100 |
| Contributors | 16 | 62 |
| Commits per week | 6.4 | 15.8 |
| Open issues | 42 | 105 |
| Language | Python | JavaScript |
| License | Apache-2.0 | MIT |
| Last commit | 2026-08-23 16:22 UTC | 2026-10-03 05:12 UTC |
| Last release | v1.3.0 | v4.8.4 |
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