What problem does it solve? A fleet of hundreds of vulnerable VMs is an endless patching queue, but most critical CVEs are inherited from the base image the instances booted from. This Skill identifies which small set of AWS AMIs, Azure image references, or GCP source images accounts for the largest share of critical findings, so rebuilding a few images retires the bulk of the backlog instead of patching instances one by one. ## Core Features & Use Cases - Cross-cloud image attribution: Resolves the instance-to-image chain for AWS, Azure (including the disk hop and AKS/VMSS parent lookup), and GCP using only the Falcon MCP server's vulnerability, CSPM asset, and host search tools. - Blast-radius ranking: Ranks images by public exploit availability, affected instances times distinct critical CVEs, and ExPRT critical/high counts, contrasting CVSS severity with ExPRT ratings to right-size the actual workload. - Evidence-backed dashboard: Renders a self-contained HTML report with ranked image and instance detail tables, per-cloud coverage gaps, and a full query evidence trail showing every filter executed and what it returned. - Use Case: Ask which vulnerable VM images create the most downstream exposure across your cloud estate, and receive a ranked answer such as "rebuilding 3 of 47 images retires 66% of critical findings" with the instance-level work order for the platform team. ## Quick Start Ask the assistant to find which base images are responsible for the most critical vulnerabilities across my AWS, Azure, and GCP VMs and rank them by blast radius.