The body is mostly efficient executable commands, but the 'Key Concepts' table explains RBAC, ClusterRole, ClusterRoleBinding, and Service Account — concepts Claude already knows — adding unnecessary tokens, so it sits at 'mostly efficient but could be tightened' rather than fully lean.

Every step ships copy-paste-ready, fully executable kubectl one-liners and inline Python scripts with concrete flags and filters, matching the fully-executable anchor.

The six steps are clearly sequenced and labelled, but there are no explicit validation/verification checkpoints or feedback loops for confirming findings before reporting, so it falls to 'sequence present but checkpoints missing'.

Sections are well-organized, but the provided bundle files references/api-reference.md and scripts/agent.py are never referenced or signaled from the body while equivalent API/script content sits inline, so the disclosure structure is present-but-underused rather than cleanly split.

Lists multiple concrete actions — 'identify overly permissive roles, wildcard permissions, dangerous ClusterRoleBindings, service account abuse, and privilege escalation paths' — matching the score-3 anchor that enumerates specific concrete actions.

Clearly answers 'what' the skill does but provides no 'Use when…' clause or equivalent explicit trigger guidance, so per the judging guidelines completeness is capped at 2 rather than reaching the what-AND-when level 3.

Covers natural terms an auditor would say — 'Kubernetes cluster RBAC', 'overly permissive roles', 'wildcard permissions', 'privilege escalation', plus the named tools (kubectl, rbac-tool, KubiScan, Kubeaudit) — giving good coverage of likely user phrasing.

The narrow Kubernetes-RBAC-auditing niche with named tooling is clearly distinguishable and unlikely to trigger for unrelated skills, matching the clear-niche anchor.