Conciseness

The body is dense with commands, YAML, wizard prompts, and a symptom/cause/fix table; it assumes Claude's competence and spends no tokens explaining what chaos engineering or Kubernetes is. Every section carries actionable weight, matching the 5 anchor ('lean and efficient; every token earns its place') rather than the 4 anchor's 'minor instances of over-explanation'.

Actionability

Mostly executable: copy-paste helm installs with pinned versions, complete ChaosSchedule/Schedule YAML, concrete kubectl diagnostics, and a debug decision table. However, the install commands pass '-f examples/chaos/litmus-install-values.yaml' (and chaos-mesh-install-values.yaml) which do not exist in the bundle, so those commands fail as written, and the experiment mode defers entirely to missing example YAMLs instead of showing one complete experiment. Mostly executable with real gaps fits 4, not 5's copy-paste-ready coverage.

Workflow Clarity

Each mode is a numbered sequence with an interactive wizard entry, explicit checkpoints (verify pods Running after install; require steady-state hypothesis before injecting; observe/verdict criteria in gameday), and safety constraints for the destructive operations (staging-only scheduling, 50% blast radius), so the destructive-operation cap does not apply. Minor gaps keep it at 4 rather than 5: install mode lacks an RBAC pre-flight check even though missing RBAC is listed as the top debug cause, and the experiment mode's end-to-end flow depends on example files that are absent.

Progressive Disclosure

Mode-based sections are well organized and references are clearly signaled at the point of need ('load references/chaos.md', 'See examples/chaos/pod-delete-experiment.yaml'), but none of the referenced bundle files exist in the skill — no references/, scripts/, assets/, or examples/ directories are present, so every external pointer dangles and navigation is impossible. Structure is present but the references are broken, fitting the 3 anchor; it is not 4 because 'references mostly clear' fails when the targets are missing, and not 2 because the inline content is genuinely well sectioned.

Specificity

"Design, run, and debug Chaos Engineering experiments on Kubernetes using Litmus Chaos v3 and Chaos Mesh v2. Covers fault injection (pod-delete, network-loss, CPU stress, node-drain), steady-state hypothesis probes, GameDay runbooks, scheduled experiments, DORA feedback loop, and RBAC setup" lists multiple concrete actions with specific fault types and tool names in third-person voice. Coverage is comprehensive, so it matches the 5 anchor rather than the 4 anchor's 'minor gaps'.

Completeness

The description explicitly answers both questions: 'what' via the enumerated capabilities (fault injection, steady-state probes, GameDays, schedules, DORA loop, RBAC) and 'when' via the 'Use when asked to ...' clause with concrete trigger phrases. This matches the 5 anchor exactly; the 4 anchor's 'when could be more explicit' does not apply since the when-clause is fully explicit.

Trigger Term Quality

"Use when asked to 'inject a pod fault', 'run a GameDay', 'schedule chaos experiments', or 'debug why my ChaosEngine is stuck'" provides natural verbatim trigger phrases plus named tools, but triggers cover only 4 of the 6 modes — install and report scenarios (e.g., 'install Litmus', 'summarize my chaos experiment') and synonyms like 'resilience testing' are missing. Good coverage with a few natural terms missing fits 4, not 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

The chaos-engineering-on-Kubernetes niche with named tools (Litmus Chaos, Chaos Mesh) and distinctive triggers (pod fault, GameDay, ChaosEngine) is mostly distinct, but claiming 'DORA feedback loop' creates minor overlap with a sibling DORA-metrics skill — the body itself cross-references '/platform-skills:dora benchmark'. Minor overlap risk with a closely related skill matches the 4 anchor; 5's 'minimal conflict risk' is undercut by the DORA claim.