Anthropic-Cybersecurity-Skills

mukul975/Anthropic-Cybersecurity-Skills

817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & M

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Python Apache-2.0Last pushed Jun 26, 2026

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 Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0

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pip install Anthropic-Cybersecurity-Skills

README

Anthropic Cybersecurity Skills

The largest open-source cybersecurity skills library for AI agents

817 production-grade cybersecurity skills · 29 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 817 structured cybersecurity skills spanning 29 security domains, each following the agentskills.io open standard. Every skill is mapped to six industry frameworks — MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF, and the MITRE Fight Fraud Framework (F3) — making this the only open-source skills library with unified cross-framework coverage. Clone it, point your agent at it, and your next security investigation gets expert-level guidance in seconds.

Six frameworks, one skill library

No other open-source skills library maps every skill to all of these frameworks. One skill, six compliance checkboxes.

FrameworkVersionScope in this repoWhat it maps
MITRE ATT&CKv19.115 tactics · 286 techniquesAdversary behaviors and TTPs
NIST CSF 2.02.06 functions · 22 categoriesOrganizational security posture
MITRE ATLASv5.416 tactics · 84 techniquesAI/ML adversarial threats
MITRE D3FENDv1.37 categories · 267 techniquesDefensive countermeasures
NIST AI RMF1.04 functions · 72 subcategoriesAI risk management
MITRE F3 (Fight Fraud Framework)v1.1 (2026-04-09)8 tactics · 123 techniques · 94 fraud-relevant skillsCyber-enabled financial fraud TTPs

Example — a single skill maps across all six:

SkillATT&CKNIST CSFATLASD3FENDAI RMFF3
analyzing-network-traffic-of-malwareT1071DE.CMAML.T0047D3-NTAMEASURE-2.6
detecting-business-email-compromiseT1566DE.AEF1005.006 · 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) — action