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Anthropic-Cybersecurity-Skills

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754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0

Subagents15.5k estrellas1.9k forksPythonApache-2.0Actualizado 11d ago
Nota editorial

This repository provides 754 structured cybersecurity skill definitions organized across 26 security domains, designed to be loaded into AI agents via the agentskills.io open standard. Each skill is a machine-readable file containing methodology, tool guidance, and cross-framework identifiers covering MITRE ATT&CK v19.1, NIST CSF 2.0, MITRE ATLAS v5.4, MITRE D3FEND v1.3, and NIST AI RMF 1.0 simultaneously. A concrete example maps the skill `analyzing-network-traffic-of-malware` to ATT&CK technique T1071, NIST CSF category DE.CM, ATLAS technique AML.T0047, D3FEND technique D3-NTA, and AI RMF subcategory MEASURE-2.6 in a single file. The library installs via npx or git clone and works directly with Claude Code, GitHub Copilot, OpenAI Codex CLI, Cursor, and Gemini CLI. Security analysts, red teamers, and DevSecOps engineers building agentic workflows benefit most, as the skills cover domains including penetration testing, malware analysis, threat hunting, OSINT, incident response, and cloud security. The ATT&CK mappings are validated against the official mitreattack-python library with no revoked or deprecated technique IDs.

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  • Open-source license (Apache-2.0)
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  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 6/11/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills && cp Anthropic-Cybersecurity-Skills/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.

24 items en este repositorio

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Create forensically sound bit-for-bit disk images using dd and dcfldd

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Detect dangerous ACL misconfigurations in Active Directory using ldap3

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Perform static analysis of Android APK malware samples using apktool

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Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

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Analyze advanced persistent threat (APT) group techniques using MITRE

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Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

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Analyzes bootkit and advanced rootkit malware that infects the Master

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Analyze Chromium-based browser artifacts using Hindsight to extract browsing

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Campaign attribution analysis involves systematically evaluating evidence

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Monitor Certificate Transparency logs using crt.sh and Certstream to

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Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage

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Extract and analyze Cobalt Strike beacon configuration from PE files

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Parse and analyze Cobalt Strike Malleable C2 profiles using dissect.cobaltstrike

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Analyzes malware command-and-control (C2) communication protocols to

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Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

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Perform comprehensive forensic analysis of disk images using Autopsy

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Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

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Investigate compromised Docker containers by analyzing images, layers,

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Parse and analyze email headers to trace the origin of phishing emails,

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Perform static and symbolic analysis of Solidity smart contracts using

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Reverse engineer Go-compiled malware using Ghidra with specialized scripts

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Detect and analyze heap spray attacks in memory dumps using Volatility3

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Casos de uso

Resumen de Subagents

<p align="center">
  <img src="assets/banner.png" alt="Anthropic Cybersecurity Skills" width="100%">
</p>

<div align="center">

#  Anthropic Cybersecurity Skills

### The largest open-source cybersecurity skills library for AI agents

[![GARS-2026 Survey](https://img.shields.io/badge/GARS--2026-Take%20the%20Survey-E8B84B?style=for-the-badge&logo=googleforms&logoColor=black)](https://mahipal.engineer/survey?utm_source=github_badge&utm_medium=readme&utm_campaign=gars2026)
[![License](https://img.shields.io/badge/License-Apache_2.0-blue.svg?style=flat-square)](LICENSE)
[![Skills](https://img.shields.io/badge/skills-754-brightgreen?style=flat-square)](#whats-inside--26-security-domains)
[![Frameworks](https://img.shields.io/badge/frameworks-5-orange?style=flat-square)](#five-frameworks-one-skill-library)
[![Domains](https://img.shields.io/badge/domains-26-9cf?style=flat-square)](#whats-inside--26-security-domains)
[![Platforms](https://img.shields.io/badge/platforms-26%2B-blueviolet?style=flat-square)](#compatible-platforms)
[![GitHub stars](https://img.shields.io/github/stars/mukul975/Anthropic-Cybersecurity-Skills?style=flat-square)](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/stargazers)
[![GitHub forks](https://img.shields.io/github/forks/mukul975/Anthropic-Cybersecurity-Skills?style=flat-square)](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/network/members)
[![Last Commit](https://img.shields.io/github/last-commit/mukul975/Anthropic-Cybersecurity-Skills?style=flat-square)](https://github.com/mukul975/Anthropic-Cybersecurity-Skills/commits/main)
[![agentskills.io](https://img.shields.io/badge/standard-agentskills.io-ff6600?style=flat-square)](https://agentskills.io)
[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat-square)](CONTRIBUTING.md)
[![Playground](https://img.shields.io/badge/Playground-Casky.ai-blue)](https://casky.ai/?utm_source=github&utm_medium=readme&utm_campaign=cohort_launch#waitlist)
[![Hermes Agent](https://img.shields.io/badge/Hermes_Agent-compatible-blueviolet?style=flat)](https://github.com/NousResearch/hermes-agent)


**754 production-grade cybersecurity skills · 26 security domains · 5 framework mappings · 26+ AI platforms**

[Get Started](#quick-start) · [What's Inside](#whats-inside--26-security-domains) · [Frameworks](#five-frameworks-one-skill-library) · [Platforms](#compatible-platforms) · [Contributing](#contributing)

</div>

---

> ⚠️ **Community Project** — This is an independent, community-created project. Not affiliated with Anthropic PBC. 

## 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 **754 structured cybersecurity skills** spanning **26 security domains**, each following the [agentskills.io](https://agentskills.io) open standard.  Every skill is mapped to **five industry frameworks** — MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, and NIST AI RMF  — 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.

## Five frameworks, one skill library

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

| Framework | Version | Scope in this repo | What it maps |
|---|---|---|---|
| [MITRE ATT&CK](https://attack.mitre.org) | v19.1 | 15 tactics · 286 techniques | Adversary behaviors and TTPs |
| [NIST CSF 2.0](https://www.nist.gov/cyberframework) | 2.0 | 6 functions · 22 categories | Organizational security posture |
| [MITRE ATLAS](https://atlas.mitre.org) | v5.4 | 16 tactics · 84 techniques | AI/ML adversarial threats |
| [MITRE D3FEND](https://d3fend.mitre.org) | v1.3 | 7 categories · 267 techniques | Defensive countermeasures |
| [NIST AI RMF](https://airc.nist.gov/AI_RMF) | 1.0 | 4 functions · 72 subcategories | AI risk management |

**Example — a single skill maps across all five:**

| Skill | ATT&CK | NIST CSF | ATLAS | D3FEND | AI RMF |
|---|---|---|---|---|---|
| `analyzing-network-traffic-of-malware` | T1071 | DE.CM | AML.T0047 | D3-NTA | MEASURE-2.6 |

### MITRE ATT&CK v19.1 — 754/754 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 — 286 distinct techniques across all 15 Enterprise tactics, plus ICS and Mobile techniques where relevant. 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

```bash
# 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](https://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](https://mahipal.engineer/survey?utm_source=github_repo&utm_medium=readme&utm_campaign=gars2026)

- 60 questions · Anonymous · Supervised by SRH Berlin
- You get **50 Casky Tokens** for early access to [casky.ai](https://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](https://casky.ai/?utm_source=github&utm_medium=readme&utm_campaign=cohort_launch#waitlist)**

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. 

## What's inside — 26 security domains

| Domain | Skills | Key capabilities |
|---|---|---|
| Cloud Security | 60 | AWS, Azure, GCP hardening · CSPM · cloud forensics |
| Threat Hunting | 55 | Hypothesis-driven hunts · LOTL detection · behavioral analytics |
| Threat Intelligence | 50 | STIX/TAXII · MISP · feed integration · actor profiling |
| Web Application Security | 42 | OWASP Top 10 · SQLi · XSS · SSRF · deserialization |
| Network Security | 40 | IDS/IPS · firewall rules · VLAN segmentation · traffic analysis |
| Malware Analysis | 39 | Static/dynamic analysis · reverse engineering · sandboxing |
| Digital Forensics | 37 | Disk imaging · memory forensics · timeline reconstruction |
| Security Operations | 36 | SIEM correlation · log analysis · alert triage |
| Identity & Access Management | 35 | IAM policies · PAM · zero trust identity · Okta · SailPoint |
| SOC Operations | 33 | Playbooks · escalation workflows · metrics · tabletop exercises |
| Container Security | 30 | K8s RBAC · image scanning · Falco · container forensics |
| OT/ICS Security | 28 | Modbus · DNP3 · IEC 62443 · historian defense · SCADA |
| API Security | 28 | GraphQL · REST · OWASP API Top 10 · WAF bypass |
| Vulnerability Management | 25 | Nessus · scanning workflows · patch prioritization · CVSS |
| Incident Response | 25 | Breach containment · ransomware response · IR playbooks |
| Red Teaming | 24 | Full-scope engagements · AD attacks · phishing simulation |
| Penetration Testing | 23 | Network · web · cloud · mobile · wireless pentesting |
| Endpoint Security | 17 | EDR · LOTL detection · fileless malware · persistence hunting |
| DevSecOps | 17 | CI/CD security · code signing · Terraform auditing |
| Phishing Defense | 16 | Email authentication · BEC detection · phishing IR |
| Cryptography | 14 | TLS · Ed25519 · certificate transparency · key management |
| Zer
ai-agentsclaude-codecloud-securitycybersecuritydevsecopsethical-hackingincident-responseinfosecllmmalware-analysismcpmitre-attacknist-csfosintpenetration-testingred-teamsecuritysecurity-automationthreat-huntingthreat-intelligence

Lo que la gente pregunta sobre Anthropic-Cybersecurity-Skills

¿Qué es mukul975/Anthropic-Cybersecurity-Skills?

+

mukul975/Anthropic-Cybersecurity-Skills es subagents para el ecosistema de Claude AI. 754 structured cybersecurity skills for AI agents · Mapped to 5 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND & NIST AI RMF · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 26 security domains · Apache 2.0 Tiene 15.5k estrellas en GitHub y se actualizó por última vez 11d ago.

¿Cómo se instala Anthropic-Cybersecurity-Skills?

+

Puedes instalar Anthropic-Cybersecurity-Skills clonando el repositorio (https://github.com/mukul975/Anthropic-Cybersecurity-Skills) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar mukul975/Anthropic-Cybersecurity-Skills?

+

Nuestro agente de seguridad ha analizado mukul975/Anthropic-Cybersecurity-Skills y le ha asignado un Trust Score de 100/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene mukul975/Anthropic-Cybersecurity-Skills?

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mukul975/Anthropic-Cybersecurity-Skills es mantenido por mukul975. La última actividad registrada en GitHub es de 11d ago, con 19 issues abiertos.

¿Hay alternativas a Anthropic-Cybersecurity-Skills?

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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

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