Anthropic Cybersecurity Skills — AI Agent Framework: Live Stats & TrendScore

Live GitHub stats, community sentiment, and trend data for Anthropic Cybersecurity Skills. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 26, 2026 • Sentiment updated: May 6, 2026

GitHub Statistics

Community Sentiment

Community Buzz: As seen on GitHub, 'Anthropic-Cybersecurity-Skills is a large collection of workflows mapped to real security tasks' and on Reddit, users discuss its potential applications, 'Can I use this with these Claude Skills repo? https://github.com/mukul975/Anthropic-Cybersecurity-Skills'

Pros & Cons

What People Love

Dev.to users appreciate its comprehensive collection of cybersecurity skills, Reddit users praise its potential for automating security tasks, GitHub users value its open-source nature and frequent updates

Common Complaints

Limited documentation, Steep learning curve

Biggest Positive: Valuable resource

Biggest Negative: Security risks

Why Anthropic Cybersecurity Skills Stands Out

This project provides a comprehensive library of cybersecurity skills for AI agents, mapped to five industry frameworks, making it an invaluable resource for security investigations and compliance.

Built With

MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF

Getting Started

  1. Clone the repository
  2. Point your AI agent at the skills library
  3. Use the 754 structured cybersecurity skills

About

754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0

Official site: https://mahipal.engineer/Anthropic-Cybersecurity-Skills/

Category & Tags

Category: automation

Tags: 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

Market Context

Competitive landscape of AI-powered cybersecurity solutions