762 Cybersecurity Skills for AI Agents: Open Source Project Helps Bridge Workforce Gap

762 Cybersecurity Skills for AI Agents: Open Source Project Helps Bridge Workforce Gap. The open-source project 'Anthropic Cybersecurity Skills' contains 762 structured cybersecurity skills mapped to six industry frameworks, aiming to equip AI agents with the knowledge of a right-hand security analyst.. Largest Cybersecurity Skills Library for AI Agents A GitHub repository known as 'Anthropic Cybersecurity Skills' has been launched as the largest open-source cybersecurity skills library for AI agents. This project, created by the community and not affiliated with Anthropic PBC, contains 762 pre-built skills covering 26 security domains and mapped to six major industry frameworks. Background: Addressing the Cybersecurity Workforce Gap According to ISC2, the global cybersecurity workforce gap reached 4.8 million unfilled positions in 2024. AI agents have the potential to help close this gap, but they require structured domain knowledge to function effectively. Although existing agents can write code and search the web, they lack the practitioner guides needed to act like senior security analysts. This project fills that gap by providing an AI-native knowledge base built from the ground up for standard agentskills.io. Content: 762 Skills Across 26 Domains Each skill follows a consistent directory structure, including a SKILL.md file with YAML frontmatter and Markdown body, as well as reference directories, scripts, and assets. The covered domains include: - Cloud Security 60 skills - Threat Hunting 55 - Threat Intelligence 50 - Web Application Security 42 - Network Security 40 - Malware Analysis 39 - Digital Forensics 37 - Security Operations 36 - Identity and Access Management 35 - SOC Operations 33 - Container Security 30 - OT/ICS Security 28 - API Security 28 - Vulnerability Management 25 - Incident Response 25 - Red Team 24 - Penetration Testing 23 - Endpoint Security 17 - DevSecOps 17 - Phishing Defense 16 - Cryptography 14 - Zero Trust Architecture 13 - Mobile Security 12 - Ransomware Defense 7 - Compliance and Governance 5 - Fraud Technology 2 Mapping to Six Industry Frameworks The uniqueness of this project is mapping each skill to six frameworks simultaneously: - MITRE ATT&CK v19.1 : 15 tactics, 286 techniques - covering 754 skills - NIST CSF 2.0 : 6 functions, 22 categories - whole organization - MITRE ATLAS v5.4 : 16 tactics, 84 techniques - AI/ML threats - MITRE D3FEND v1.3 : 7 categories, 267 techniques - defense steps - NIST AI RMF 1.0 : 4 functions, 72 subcategories - AI risk management - MITRE Fight Fraud Framework F3 v1.1 : 8 tactics, 123 techniques - cyber financial fraud For example, the skill of analyzing malware network traffic is mapped to T1071 ATT&CK , DE.CM NIST CSF , AML.T0047 ATLAS , D3-NTA D3FEND , and MEASURE-2.6 AI RMF . How AI Agents Use These Skills Each skill requires about 30 tokens to scan the frontmatter and 500–2,000 tokens to load the entire workflow. This allows agents to search all 762 skills in one pass without overflowing the context window. For instance, when a user asks "Analyze this memory dump for signs of credential theft," the agent will: 1. Scan the frontmatter of 762 skills and identify 12 relevant ones 2. Load the top three matches such as digital forensics with Volatility3, LSASS credential dumping hunting, and Windows event log analysis 3. Execute the steps in the Workflow section step by step 4. Verify the results using the Verification section Supported Platforms This project is compatible with more than 20 platforms including Claude Code, GitHub Copilot, Cursor, Windsurf, OpenAI Codex CLI, Gemini CLI, Devin, Replit Agent, LangChain, CrewAI, and others that support the agentskills.io standard. Status and Community This repository has received 18,300 stars and 2,200 forks on GitHub. The latest version v1.2.0 April 5, 2026 features coverage of five frameworks. The project welcomes community contributions, especially for underdeveloped domains such as Fraud Technology and Compliance. Each PR is reviewed within 48 hours. Conclusion 'Anthropic Cybersecurity Skills' offers a structured knowledge base that enables AI agents to act like senior security analysts. With comprehensive mapping to industry frameworks and a progressive design, this project has the potential to accelerate AI use in cybersecurity operations and help address the global workforce gap. --- Original source: github.com https://github.com/mukul975/Anthropic-Cybersecurity-Skills