analyzing-kubernetes-audit-logs

analyzing-kubernetes-audit-logs is a Blue team & detection skill for AI agents, published by mukul975 in the Anthropic-Cybersecurity-Skills repository on GitHub. Skillspace rates analyzing-kubernetes-audit-logs F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

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. '

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
32,716

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

Our review

Architecture
84 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
High-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • exfiltration language

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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