by mukul975 · MCP Server · ★ 27.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Anthropic-Cybersecurity-Skills safe to install? View the security audit →
734+ cybersecurity skills for AI agents · agentskills.io open standard Warning: Community Project -- Not affiliated with Anthropic PBC. This is an independent, community-created collection. "Anthropic" in the repository name refers to the agentskills.io standard compatibility, not official Anthropic affiliation. The largest open-source collection of cybersecurity skills for AI agents. Every skill follows the agentskills.io open standard and works instantly with Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, Gemini CLI, and 20+ other platforms. Quick Start Method 1: np
| Stars | 27,461 |
| Forks | 3,326 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 68.0347032077829/100 |
| Open Issues | 45 |
| Last Updated | 2026-08-08 |
| Created | 2026-02-25 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~15k |
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Anthropic-Cybersecurity-Skills is 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. It is categorized as a MCP Server with 27.5k GitHub stars.
Anthropic-Cybersecurity-Skills is primarily written in Python. It covers topics such as ai-agents, claude-code, cloud-security.
You can find installation instructions and usage details in the Anthropic-Cybersecurity-Skills GitHub repository at github.com/mukul975/Anthropic-Cybersecurity-Skills. The project has 27.5k stars and 3326 forks, indicating an active community.
Anthropic-Cybersecurity-Skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to Anthropic-Cybersecurity-Skills on Agent Skills Hub include cursor-talk-to-figma-mcp, hexstrike-ai, xonsh. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.