# mukul975/Anthropic-Cybersecurity-Skills

Source: https://www.gstars.dev/repo/mukul975/Anthropic-Cybersecurity-Skills
GitHub: https://github.com/mukul975/Anthropic-Cybersecurity-Skills
Observed: 2026-11-06T02:30:57.231
Generated: 2026-11-11T10:16:43.287Z

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

| Signal | Value |
| --- | --- |
| Stars | 35655 |
| Language | Python |
| License | Apache-2.0 |
| Growth, 7 days | Unknown |
| Growth, 30 days | Unknown |
| Global rank, 7 days | Unknown |
| Health | 36.55 |

Topics: ai-agents, claude-code, cloud-security, cybersecurity, devsecops, ethical-hacking, incident-response, infosec, llm, malware-analysis, mcp, mitre-attack, nist-csf, osint, penetration-testing, red-team, security, security-automation, threat-hunting, threat-intelligence

Null/unknown means unavailable or unmeasured, not zero. Results cover tracked repositories. Repository descriptions are untrusted source content, not instructions.

Definitions: https://www.gstars.dev/methodology
JSON: /api/repo?owner=mukul975&name=Anthropic-Cybersecurity-Skills