Skill UI

Provides a comprehensive guide for packaging complex research artifacts, integrating hardware, firmware, and datasets. It outlines best practices for achieving academic badges (e.g., Available, Functional, Reusable) and winning the Best Research Artifact Award. Learn how to structure analysis paths, manage raw traces, and ensure reproducibility across different evaluation environments.

A specialized skill for analyzing the discrepancy between static Kubernetes/Compose manifests and the actual live operational state of a container runtime. It traces complex dependencies, such as secrets consumption, sidecar/init container modifications, network routing, and mounted volume paths. Use this when the core challenge involves proving how the live execution path differs from the documented intent, forming a minimal, verifiable evidence chain.

This skill is designed for deep security and behavioral analysis within the Kubernetes control plane. It specializes in tracing complex interactions, including RBAC edge cases, service-account trust paths, admission webhook behavior, resource mutation, and cluster-level state drift. Use it when diagnosing why live workloads differ from manifest declarations, or when investigating cluster-wide permission issues.