Show HN: AnalystAIPack – 118 runnable agent skills for malware analysis and RE (github.com)

AnalystAIPack has launched an open library featuring 118 runnable agent skills specifically designed for malware analysis, reverse engineering (RE), and threat hunting. This resource equips AI agents with the expertise typically held by malware analysts, enabling them to execute critical tasks like selecting appropriate Volatility 3 plugins for memory analysis, unpacking packed malware, and identifying command-and-control (C2) servers in network logs. Each skill is not just theoretical; they come with tested analysis scripts that ensure practical applicability, addressing real-world workflows with a focus on safety and structured execution. The significance of AnalystAIPack lies in its ability to streamline various cybersecurity processes by providing a curated yet comprehensive toolkit that is easily integrated with existing AI systems like Claude Code or GitHub Copilot. This targeted approach allows security professionals—ranging from incident responders to detection engineers—to efficiently triage suspicious files, extract indicators of compromise (IOCs), and improve detection mechanisms in line with MITRE’s frameworks. By promoting a depth-first methodology over an expansive catalog, AnalystAIPack supports robust analysis and response strategies in an evolving threat landscape, making it a valuable asset for the AI/ML community in cybersecurity.