mukul975/Anthropic-Cybersecurity-Skills

Anthropic Cybersecurity Skills The largest open-source cybersecurity skills library for AI agents 818 production-grade cybersecurity skills · 34 security domains · 6 framework mappings · 26+ AI platforms Get Started · What's Inside · Frameworks · Platforms · Contributing ⚠️ Community Project — This is an independent, community-created project. Not affiliated with Anthropic PBC. 🔐 Authorized & lawful use only. This library includes offensive and dual-use techniques (e.g. red-team C2, phishing simulation, exploitation) intended for authorized penetration testing, security research, defense, and education . Only use them against systems you own or have explicit written permission to test, and comply with all applicable laws and rules of engagement. You are solely responsible for how you use these skills. See SECURITY.md and CODE_OF_CONDUCT.md . Give any AI agent the security skills of a senior analyst A junior analyst knows which Volatility3 plugin to run on a suspicious memory dump, which Sigma rules catch Kerberoasting, and how to scope a cloud breach across three providers. Your AI agent doesn't — unless you give it these skills. This repo contains 818 structured cybersecurity skills spanning 34 security domains , each following the agentskills.io open standard. The library maps across six industry frameworks — MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, and the MITRE Fight Fraud Framework (F3) — with each skill mapped to the frameworks relevant to its type (a forensics skill carries ATT&CK + CSF; an AI-security skill adds ATLAS and AI RMF). Clone it, point your agent at it, and your next security investigation gets expert-level guidance in seconds. Six frameworks, one skill library Each skill maps to the frameworks that fit its subject — ATT&CK and NIST CSF are near-universal, while ATLAS, AI RMF, D3FEND, and F3 apply where they're relevant. Framework coverage across the 817 skills: MITRE ATT&CK 805 · NIST CSF 2.0 804 · MITRE D3FEND 139 · NIST AI RMF 97 · MITRE F3 94 · MITRE ATLAS 93 . Framework Version Framework scope What it maps MITRE ATT&CK v19.1 15 tactics · Enterprise/Mobile/ICS Adversary behaviors and TTPs NIST CSF 2.0 2.0 6 functions · 22 categories · 106 subcategories Organizational security posture MITRE ATLAS 2026.07 101 techniques · 77 sub-techniques AI/ML adversarial threats MITRE D3FEND v1.4.0 270 techniques Defensive countermeasures NIST AI RMF 1.0 4 functions (Govern/Map/Measure/Manage) AI risk management MITRE F3 (Fight Fraud Framework) v1.1 (2026-04-09) 8 tactics · 123 techniques · 94 fraud-relevant skills Cyber-enabled financial fraud TTPs Example — each skill maps only to the frameworks relevant to it (one may hit all six, another just a couple): Skill ATT&CK NIST CSF ATLAS D3FEND AI RMF F3 analyzing-network-traffic-of-malware T1071 DE.CM AML.T0047 D3-NTA MEASURE-2.6 — detecting-business-email-compromise T1566 DE.AE — — — F1005.006 · monetization 🆕 MITRE Fight Fraud Framework (F3) — 94 fraud-relevant skills The MITRE Fight Fraud Framework (F3) was released April 9, 2026 by MITRE's Center for Threat-Informed Defense (CTID), co-developed with JPMorganChase, Citigroup, Lloyds Banking Group, Standard Chartered, CrowdStrike, Verizon Business, FS-ISAC, and others. It is an ATT&CK-compatible TTP catalog for cyber-enabled financial fraud — filling the gap ATT&CK leaves after initial compromise. F3 v1.1 adds two fraud-specific tactics that ATT&CK does not enumerate: Positioning ( FA0001 ) — actions taken after access to collect/manipulate data and prepare the fraud (synthetic-identity seeding, account warming, beneficiary setup, SIM-swap pre-positioning, banking-session hijack). Monetization ( FA0002 ) — converting stolen assets into usable funds (money-mule layering, APP fraud, crypto off-ramping, card cash-out, refund/chargeback abuse). Fraud-specific techniques use F1XXX IDs (e.g. F1005.003 Add Beneficiary, F1025.003 Wire Transfer, F1007 Adversary-in-the-Browser); reused ATT&CK techniques keep their T1XXX IDs. Mappings live in each skill's mitre_f3: frontmatter block — all 123 F3 v1.1 technique IDs were verified against the upstream STIX bundle. See docs/mitre-f3-mapping.md for the schema. MITRE ATT&CK v19.1 — 805/817 skills mapped Every skill carries a mitre_attack frontmatter list validated against MITRE ATT&CK v19.1 (the latest release) using the official mitreattack-python library — 290 distinct techniques and sub-techniques (146 base + 144 sub) across Enterprise, ICS, and Mobile. Zero revoked or deprecated IDs. v19.1's restructured Defense Evasion (now split into Stealth and Defense Impairment ) is reflected below. Tactic ID Skills Reconnaissance TA0043 103 Resource Development TA0042 22 Initial Access TA0001 467 Execution TA0002 350 Persistence TA0003 444 Privilege Escalation TA0004 464 Stealth TA0005 442 Defense Impairment TA0112 92 Credential Access TA0006 202 Discovery TA0007 237 Lateral Movement TA0008 68 Collection TA0009 172 Command and Control TA0011 123 Exfiltration TA0010 82 Impact TA0040 50 Quick start # Option 1: npx (recommended) npx skills add mukul975/Anthropic-Cybersecurity-Skills # Option 2: Git clone git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git cd Anthropic-Cybersecurity-Skills Works immediately with Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, Gemini CLI, and any agentskills.io -compatible platform. 🌍 GARS-2026 — Global Agentic AI Readiness Survey I'm running a global academic study measuring how ready security professionals, developers, and enterprise teams actually are for agentic AI — MCP servers, tool calling, governance, and human-in-the-loop workflows. If you use this repo, your response would be a genuinely valuable data point. 📋 Take the survey (10 min): Survey Link 60 questions · Anonymous · Supervised by SRH Berlin You get 50 Casky Tokens for early access to casky.ai Results published open access under CC-BY 4.0 🚀 Try it on the Playground Experience Casky.ai hands-on — no setup required. → Launch Playground on Casky.ai The playground lets you: Run live cybersecurity skill exercises against real targets See AI agents execute structured skills in real time Explore MITRE ATT&CK mapped workflows interactively Test threat hunting, DFIR, and penetration testing scenarios No installation. No configuration. Just open and start. Why this exists The cybersecurity workforce gap hit 4.8 million unfilled roles globally in 2024 (ISC2). AI agents can help close that gap — but only if they have structured domain knowledge to work from. Today's agents can write code and search the web, but they lack the practitioner playbooks that turn a generic LLM into a capable security analyst. Existing security tool repos give you wordlists, payloads, or exploit code. None of them give an AI agent the structured decision-making workflow a senior analyst follows: when to use each technique, what prerequisites to check, how to execute step-by-step, and how to verify results. That is the gap this project fills. Anthropic Cybersecurity Skills is not a collection of scripts or checklists. It is an AI-native knowledge base built from the ground up for the agentskills.io standard — YAML frontmatter for sub-second discovery, structured Markdown for step-by-step execution, and reference files for deep technical context. Every skill encodes real practitioner workflows, not generated summaries.