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Anthropic Cybersecurity Skills

An Apache-2.0 open-source repository containing structured cybersecurity skills for AI agents, mapped to six security frameworks and aligned with the agentskills.io standard.

Independent OpenViST project profile, based on linked sources.

Anthropic Cybersecurity Skills — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an AI-agent project needs reusable cybersecurity guidance organized across recognized threat, defense, AI-risk and fraud frameworks.

Who it is for

  • Developers extending AI coding assistants with cybersecurity skills.
  • Security practitioners designing framework-aware investigation, review or response workflows.
  • Builders creating DevSecOps or MCP-connected security assistants.

Documented uses

  • Add cybersecurity skill selection to an AI coding assistant.
  • Create security reviews that reference mapped industry frameworks.
  • Develop incident-response, DevSecOps or security-research agent workflows.
Before you choose

Requirements & limits

The repository is identified as open source and uses the Apache-2.0 license. No account, pricing or service-availability requirements are documented.

  • The library is mapped to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF and MITRE F3.
  • Documented platform ecosystems include Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI and MCP.
  • The repository contains offensive and dual-use techniques and states that use should be authorized and lawful.
  • Claude Code support is explicitly listed, but installation and runtime procedures are not shown in the supplied documentation.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Add the cybersecurity skills library to a compatible agent

Obtain the repository’s structured cybersecurity skills using one of its documented quick-start options.

Before you start

  • Use an environment with npx for the recommended option, or git for the clone option.
  • Choose a platform listed as compatible in the README, such as Claude Code, GitHub Copilot, Codex CLI, Cursor, or Gemini CLI.

Steps

  1. Run the command below for the recommended quick-start option.

    Documented command
    npx skills add mukul975/Anthropic-Cybersecurity-Skills
  2. Alternatively, clone the repository with the command below.

    Documented command
    git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
  3. If you cloned it, change into the repository directory with cd Anthropic-Cybersecurity-Skills.

Expected outcome

The README describes the skills as available immediately with the listed compatible platforms and agentskills.io-compatible platforms.

Guide limitations

  • The README lists platform compatibility but does not detail platform-specific configuration or runtime behavior.
  • Use offensive or dual-use skills only for authorized security testing, research, defense, or education; obtain explicit written permission before testing systems you do not own.
COMPARE OPTIONS

Compare options for AI coding assistance

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
Anthropic Cybersecurity SkillsAdd cybersecurity skill selection to an AI coding assistant.CLI, DesktopThe repository is identified as open source and uses the Apache-2.0 license. No account, pricing or service-availability requirements are documented.
DextoDefine agents in YAML with a model, tools, storage and permissions.CLI
Evidence and transparency

Sources & review

Source record details
Source availability
Active
Sources checked
1 October 2026
Original website title
mukul975/Anthropic-Cybersecurity-Skills · Official homepage title · retained in its source language