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Anthropic-Cybersecurity-Skills — What is it?

This project provides a comprehensive, structured cybersecurity skills library for AI agents, bridging the gap between AI capabilities and cybersecurity expertise.

⭐ 10,475 Stars 🍴 1,220 Forks Python Apache-2.0 Author: mukul975
Source: README View on GitHub →

Why it matters

The project addresses the cybersecurity workforce gap by equipping AI agents with structured cybersecurity skills. Its unique feature is the mapping of skills to five industry frameworks, offering unified cross-framework coverage. The project's technical choice of using YAML frontmatter and structured Markdown for skill encoding stands out.

Source: README

Core Features

Structured Skills Library

Contains 754 structured cybersecurity skills across 26 domains, mapped to five industry frameworks, providing a comprehensive knowledge base for AI agents.

Source: README
Framework Mapping

Skills are mapped to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF, ensuring alignment with industry standards.

Source: README
agentskills.io Standard

Adheres to the agentskills.io standard for AI agent skills, enabling compatibility with various AI platforms.

Source: README

Architecture

The architecture is modular, with a clear separation of concerns. Skills are structured in YAML frontmatter and Markdown, allowing for easy discovery and execution. The project uses a progressive disclosure architecture for efficient skill loading.

Source: README

Project Knowledge Graph

Knowledge graph: project (center) + core features (inner hexagons) + key dependencies (outer chips) YAML Markdown Structured Skills LibraryStructured Skills L… Framework Mapping agentskills.io Standardagentskills.io Stan… Anthropic-Cybersecur… Project Core feature Key dependency

Center: project; inner ring: core feature modules; outer ring: key dependencies. Auto-generated from core_features and tech_stack.key_deps.

Tech Stack

LanguagePythonFrameworkagentskills.io standard
Key dependencies
YAMLMarkdown
Infrastructure / Deployment
Not enough information.
Source: README, Code tree

Quick Start

Option 1: npx skills add mukul975/Anthropic-Cybersecurity-Skills Option 2: git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git cd Anthropic-Cybersecurity-Skills
Source: README Installation/Quick Start

Use Cases

This project is for cybersecurity professionals, developers, and AI platform providers. It is useful in scenarios where AI agents need to perform cybersecurity tasks, such as threat hunting, incident response, and security analysis. It solves the problem of equipping AI with practical cybersecurity skills.

Source: README

Strengths & Limitations

Strengths

  • Strength 1: Comprehensive skill library covering various cybersecurity domains.
  • Strength 2: Mapped to multiple industry frameworks for standardization.
  • Strength 3: Adheres to a standard for AI agent skills for platform compatibility.

Limitations

  • Limitation 1: Requires AI platforms that support the agentskills.io standard.
  • Limitation 2: May have a learning curve for users unfamiliar with cybersecurity or AI agent skills.
Source: README, Code structure

Latest Release

v1.2.0 (2026-04-06): Cybersecurity Agent Skills v1.2.0 — Five Framework Coverage

Source: GitHub Releases

Verdict

Anthropic Cybersecurity Skills is a valuable resource for integrating cybersecurity expertise into AI agents. It is particularly suited for teams looking to enhance their AI capabilities in cybersecurity applications.

Source: Synthesis
Transparency Notice
This page is auto-generated by AI (a large language model) from the following public materials: GitHub README, code tree, dependency files and release notes. Analyzed at: 2026-05-26 14:48. Quality score: 85/100.

Data sources: README, GitHub API, dependency files