I built OWASP-style security skill packs for LLM apps (NPM install) (www.npmjs.com)

A new repository has been launched featuring OWASP-style security skill packs specifically designed for large language model (LLM) applications. This initiative simplifies the process of enhancing the security of LLM systems by allowing developers to easily fetch skills, apply checks to their codebases or designs, and use a variety of references and validators to maintain consistency in contributions. The repository currently offers 18 distinct skills categorized into four main buckets, including base skills focused on prompts and system infrastructure, companion skills addressing issues like memory security and data leakage, as well as framework subskills for popular tools like LangChain and OpenAI APIs. This development is significant for the AI/ML community as it provides a structured approach to identifying and mitigating security vulnerabilities in LLM deployments, addressing growing concerns around AI governance and incident response. The inclusion of adversarial fixtures and a mapping system aligned with OWASP and MITRE frameworks enhances the robustness of the security practices proposed. Developers can easily integrate these security skills into their projects using simple command-line tools, making it more accessible for teams to adopt best practices in safeguarding their LLM systems.