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
mukul975/Anthropic-Cybersecurity-Skills is accelerating — star growth is speeding up by +11.9/day (96th percentile in the tracked cohort), on top of +60.4 stars/day. It just crossed 30,000 stars.
Reconstructed from 285 snapshots — the time-series GitHub’s API doesn’t expose.
~26 forks/day, 5.6× the trailing baseline.
~24 forks/day, 4.4× the trailing baseline.
~19 forks/day, 3.2× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/mukul975/Anthropic-Cybersecurity-Skills)Elevated breakout odds over the next 14 days, led by star acceleration (96th pctl) and star velocity (94th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.
~37 forks/day, 3.1× the trailing baseline.
~40 forks/day, 6.0× the trailing baseline.
~23 forks/day, 5.8× the trailing baseline.
~14 forks/day, 6.7× the trailing baseline.
~20 forks/day, 4.3× the trailing baseline.
~16 forks/day, 4.9× the trailing baseline.
~16 forks/day, 4.8× the trailing baseline.
~18 forks/day, 7.9× the trailing baseline.