Anthropic-Cybersecurity-Skills
A community-maintained library of 817 structured cybersecurity skills designed to equip AI agents (Claude, Copilot, Gemini, etc.) with expert-level security knowledge. Each skill maps to six industry frameworks including MITRE ATT&CK, NIST CSF 2.0, and MITRE F3, enabling agents to perform security analysis, threat hunting, and incident response tasks.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | mukul975/Anthropic-Cybersecurity-Skills |
| Owner | mukul975 |
| Primary language | Python |
| License | Apache-2.0 — OSI-approved |
| Stars | 24.9k |
| Forks | 2.9k |
| Open issues | 33 |
| Latest release | v1.3.0 (2026-06-22) |
| Last updated | 2026-06-26 |
| Source | https://github.com/mukul975/Anthropic-Cybersecurity-Skills |
What Anthropic-Cybersecurity-Skills is
Python-based skill library conforming to the agentskills.io standard, with frontmatter-indexed skills covering 29 security domains. Skills are validated against upstream MITRE frameworks (ATT&CK v19.1, ATLAS v5.4, D3FEND v1.3, NIST AI RMF 1.0, MITRE F3 v1.1, NIST CSF 2.0) and compatible with 26+ AI platforms via tool-calling and MCP integrations.
Get the Anthropic-Cybersecurity-Skills source
Clone the repository and explore it locally.
git clone https://github.com/mukul975/Anthropic-Cybersecurity-Skills.gitcd Anthropic-Cybersecurity-Skills# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Skills require a tool-calling or MCP-compatible AI agent (Claude, Copilot, Gemini, Cursor, or agentskills.io platforms). Verify your agent supports the expected calling convention before deployment.
- Implement human-in-the-loop approval gates and comprehensive audit logging around skill execution, especially for offensive, lateral-movement, and credential-harvesting skills.
- Validate that framework mappings (MITRE ATT&CK v19.1, ATLAS, F3, NIST CSF 2.0, etc.) align with your organization's compliance requirements and audit scope; mappings are data-driven but not certified.
- Consider forking or curating the library to exclude offensive skills if your use case is defense-only, and to align with internal security policies and legal constraints.
- Skills are Python-based with agentskills.io frontmatter. Integration effort depends on your platform; some platforms (Claude Code, Copilot) are explicitly supported; others require custom adapter code.
When to avoid it — and what to weigh
- Zero Trust in Offensive Techniques — Library includes red-team C2, phishing simulation, and exploitation code. If your organization prohibits any offensive capability in tooling (even gated to authorized users), this is not suitable without significant curation and legal review.
- Strict Vendor Lock-In Requirements — Project is Anthropic-branded but explicitly community-maintained and not affiliated with Anthropic PBC. If you require vendor support, SLA, or official Anthropic backing, this does not provide it.
- Production Deployment Without Governance Layer — Skills are designed for authorized security work only. Deploying raw skills to an agent in production without human-in-the-loop controls, permission validation, and execution logging creates significant operational and legal risk.
- Regulated Financial Services Without Legal Sign-Off — MITRE F3 fraud-specific skills and dual-use offensive techniques require explicit legal/compliance review in banking, payment, or fintech contexts before deployment.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI-approved license allowing commercial use, modification, and distribution under Apache 2.0 terms (attribution required, no liability, no warranty). License is clear and well-established.
Apache 2.0 permits commercial use, including incorporation into proprietary products and services, provided you include a copy of the license and provide notice of modifications. However, the library includes offensive, red-team, and dual-use techniques (C2, phishing, exploitation). Commercial deployment requires your organization's legal review to confirm compliance with applicable laws (CFAA in US, GDPR, BCS in UK, etc.) and that use is limited to authorized testing and defense. Liability and warranty disclaimers in Apache 2.0 do not shield you from legal liability for misuse. Requires review before commercial deployment.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Low |
| DEV.co fit | Good |
| Assessment confidence | High |
Library contains offensive techniques (red-team C2, phishing, exploitation, lateral movement, credential harvesting, malware analysis). Deployment requires: (1) explicit authorization scope (owned systems or written permission); (2) human-in-the-loop gates to prevent unintended execution; (3) comprehensive audit logging; (4) legal/compliance sign-off for your jurisdiction and use case (especially fintech/regulated industries). Skill descriptions are instructional but not exploit code; actual execution depends on the underlying agent and tools. No security audit, threat model, or CVE history provided. SECURITY.md references responsible use but does not constitute a security assessment.
Alternatives to consider
MITRE ATT&CK Enterprise (native framework)
Direct access to authoritative adversarial TTP knowledge, but requires manual skill design and agent integration; no pre-built skill library or multi-framework mapping.
OpenAI-provided security tool blueprints or vendor-specific security agents
May offer vendor support, SLA, and tighter platform integration, but lack the multi-framework cross-reference and community curation of Anthropic-Cybersecurity-Skills.
NIST Cybersecurity Framework (CSF) 2.0 implementation guides + custom skill mapping
Focuses on organizational posture (compliance-first) rather than AI-agent-centric skills; requires custom work to expose as agent tools.
Build on Anthropic-Cybersecurity-Skills with DEV.co software developers
Clone the Anthropic-Cybersecurity-Skills library, connect it to your AI agent (Claude, Copilot, Cursor, or any agentskills.io platform), and enable automated threat intelligence, incident response, and compliance mapping across 6 major security frameworks — in minutes.
Talk to DEV.coRelated open-source tools
Surfaced by semantic similarity across the DEV.co open-source index.
Related on DEV.co
Explore the category and the services that help you build with it.
Anthropic-Cybersecurity-Skills FAQ
Can I use this for offensive penetration testing or red-team simulations?
What if I want only defensive skills and no offensive content?
Is this affiliated with Anthropic, MITRE, NIST, or my agent platform?
How often are frameworks updated, and will my mappings break?
Custom software development services
Need help beyond evaluating Anthropic-Cybersecurity-Skills? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and ai frameworks integrations — and maintain them long-term.
Empower Your Security Agent with Expert-Level Skills
Clone the Anthropic-Cybersecurity-Skills library, connect it to your AI agent (Claude, Copilot, Cursor, or any agentskills.io platform), and enable automated threat intelligence, incident response, and compliance mapping across 6 major security frameworks — in minutes.