Anthropic-Cybersecurity-Skills

作者 mukul975已验证

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

30,684
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3,650
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Python
语言
2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills

快速入门

使用 Anthropic-Cybersecurity-Skills 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Anthropic Cybersecurity Skills

The largest open-source cybersecurity skills library for AI agents

GARS-2026 Survey License Skills Frameworks MITRE F3 Domains Platforms GitHub stars GitHub forks Last Commit agentskills.io PRs Welcome Playground Hermes Agent

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. 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

MITRE F3

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 clos

常见问题

What is Anthropic-Cybersecurity-Skills?

Anthropic-Cybersecurity-Skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by mukul975. 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. It has 30,684 GitHub stars.

Is Anthropic-Cybersecurity-Skills safe to use?

Yes. Anthropic-Cybersecurity-Skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install Anthropic-Cybersecurity-Skills?

Clone the repository with "git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is Anthropic-Cybersecurity-Skills written in?

Anthropic-Cybersecurity-Skills is primarily written in Python. It is open-source under mukul975 on GitHub, so you can review or fork the full source.

Are there alternatives to Anthropic-Cybersecurity-Skills?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh Anthropic-Cybersecurity-Skills against similar tools.

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