Anthropic Cybersecurity Skills — agentic threat model

Not certain from the listing — The repository itself is a static library of tool definitions and does not include a foundation model. The security of this layer depends entirely on the LLM (e.g., Claude, Gemini) chosen by the user to execute these skills.

Not certain from the listing — The repository contains static skill definitions mapped to frameworks rather than a live database or vector store. The primary data risk is upstream supply chain poisoning of the GitHub repository itself.

The repository directly defines 817 cybersecurity skills (tools) for agentic frameworks. Insecure tool integration or tool misuse is a critical threat, as an agent executing these skills could be manipulated into running destructive security commands or disclosing sensitive system states.

Not certain from the listing — The repository is designed to be cloned and run locally or within user-managed environments (e.g., Claude Code, Cursor). Sandboxing, privilege escalation prevention, and network isolation depend entirely on the host infrastructure.

Not certain from the listing — The repository provides raw skills but does not specify built-in logging, guardrails, or evaluation frameworks, leaving observability entirely to the orchestrating platform.

The skills are explicitly mapped to major security and compliance frameworks (MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, MITRE D3FEND, NIST AI RMF). While this aids compliance mapping, actual policy enforcement and authorization controls must be implemented by the user.

Designed to be integrated into agentic coding and assistant platforms. If these platforms interact with other agents or external ecosystems, compromised skills could lead to cascading failures or unauthorized multi-agent tool execution.