Show HN: AgentSkill – Yara-L-Skill (github.com)

AgentSkill has released Yara-L-Skill, a new Agent Skill designed to streamline the process of creating and managing YARA-L 2.0 detection rules specifically for Google Security Operations (SecOps). This tool enhances AI coding agents' capabilities by allowing them to write, review, and tune detection rules. By simply providing a threat description or existing detection logic, users can generate comprehensive YARA-L rules that include detection logic statements, meta information, testing scenarios, and potential false-positive sources. The skill is compatible with popular coding environments like Claude Code, GitHub Copilot, and OpenAI Codex. This announcement is significant for the AI/ML community as it empowers security teams to automate and optimize their threat detection workflows using AI-driven tools. The integration of an offline linter further ensures that the generated rules meet quality standards, helping prevent errors before deployment. With its ability to offer structured guidance on rule creation, including UDM field verification and tuning checklists, Yara-L-Skill contributes to a more efficient security operations landscape and fosters collaboration through an open-source approach, inviting further enhancements from the community.