analyzing-kubernetes-audit-logs

Editorial and source context

What this Skill does

Analyzing Kubernetes Audit Logs is a source-indexed Agent Skill for security, quality & compliance work. Based on the SKILL.md description, it focuses on parses kubernetes api server audit logs (json lines) to detect exec-into-pod, secret access, rbac…. Use the linked GitHub file to confirm scope and prerequisites before enabling it.

What the author says

Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco. '

Compatibility and requirements

• Use an agent runtime that supports Agent Skills and the linked SKILL.md format.
• Confirm the source repository's tools, SDKs, and platform prerequisites for api design work.

How to install or import it

• Open the linked GitHub SKILL.md and review its scope and setup instructions.
• Install or import the skill using the agent runtime's documented workflow.
• Run a small, non-sensitive test and verify the output before broader use.

Permissions and risks

• Review every command, file path, network request, dependency, and credential scope before enabling it.
• GitHub stars indicate popularity, not safety or correctness; validate the source and test with non-sensitive data.

Example workflows

• Ask an AI agent to apply Analyzing Kubernetes Audit Logs to api design work described in the source record.
• Have the agent state assumptions, required tools, and expected output before using this security, quality & compliance skill.
• Compare the result with the linked GitHub SKILL.md and verify it against your project requirements.