Anthropic Cybersecurity Skills: 754 structured skills for AI agents mapped to major frameworks
A new open-source repository provides 754 structured cybersecurity skills for AI agents, mapped to five major industry frameworks like MITRE ATT&CK and NIST. This structured knowledge base allows agents to perform precise security tasks, from threat hunting to compliance checks, by translating high-level prompts into specific, actionable steps. It directly addresses the need for reliable, domain-specific agent tooling.
Why it matters
You can immediately use this structured skill set to build more precise and reliable AI agents for security auditing, threat simulation, or compliance automation within your development or infrastructure workflows.
TL;DR
- 01Integrate the 754 pre-defined cybersecurity skills as a prompt library or tool-calling schema to give your AI agent instant domain expertise.
- 02Map agent tasks directly to established frameworks (MITRE ATT&CK, NIST) for audits and reports that align with industry standards.
- 03Reduce prompt engineering overhead and token waste by referencing skill IDs instead of re-describing complex security procedures.
- 04Orchestrate multi-phase security workflows by chaining skills from different categories like Reconnaissance and Detection.
Key facts
- Total skills
- 754
- Domains covered
- 26
- Framework mappings
- 5
Skill Architecture
This repository offers 754 cybersecurity skills mapped across 26 domains and 5 industry frameworks, including MITRE ATT&CK v19.1 and NIST CSF 2.0. Unlike typical scripts, each skill uses YAML frontmatter for rapid agent discovery (approx. 30 tokens per scan) and structured Markdown for execution workflows. It is compatible with Claude Code, Cursor, and other agentskills.io platforms.
Operational Workflow
When an agent receives a security-related prompt, it scans these skill definitions to identify relevant procedures (e.g., memory forensics, credential theft detection). By using the provided Verification sections, agents can validate results against known indicators of compromise (IOCs), ensuring that the output aligns with senior analyst playbooks rather than guessing commands.
✓ When to use
- Security auditing
- Threat hunting