Conciseness

The body is dense and nearly everything earns its place (good/bad hypothesis lists, YAML blocks, a tight five-check table), with only minor trimmable material: the block-quoted Principle 1 text in the validation section and the hard-reject table, which partially restates failure conditions already in the checks table. Not 5 due to those small redundancies; well above 3 because there is no padded explanation of concepts Claude already knows.

Actionability

Guidance is fully executable: copy-paste-ready YAML for the hypothesis and blast radius, a complete GitHub Actions workflow with real kubectl apply/wait/verdict commands, good/bad hypothesis examples, and an explicit pre-flight verdict output format with per-check pass/fail criteria. The common cases are covered by concrete examples.

Workflow Clarity

Seven steps are clearly sequenced and each is mapped to a chaos principle, with an explicit pre-execution validation gate (the five-check pre-flight plus hard-reject conditions) and a feedback loop ('Recommended action: <proceed | revise probe | replace metric | add baseline>'). Validation for this risky operation class is present, so no cap applies.

Progressive Disclosure

SKILL.md is a genuine overview: methodology and examples stay inline while tool deep-dives are split into five real, clearly linked, one-level-deep reference files (all verified to exist in references/), each with a stated purpose, and a closing References section maps sibling skills and external specs. Not 4 because there are no organization gaps — every reference is well-signaled from the step that needs it.

Specificity

The description names many concrete deliverables — 'a steady-state hypothesis', 'real-world faults (latency, node or region failure)', 'blast radius, automation and the verdict', 'a five-check validation', 'LitmusChaos and Gremlin setup' — giving broad, specific coverage. It falls short of 5 because the capabilities are listed as nouns rather than distinct concrete actions, and exceeds 3 because coverage goes well beyond 1-2 items.

Completeness

It explicitly answers both: what ('a steady-state hypothesis, real-world faults..., blast radius, automation and the verdict, with a five-check validation... and LitmusChaos and Gremlin setup') and when ('Use when scoping a chaos engineering experiment before running it') with a concrete trigger phrase, matching the anchor-5 structure. A 4 would require the 'when' to be less explicit, which it is not.

Trigger Term Quality

Natural terms users would say are present: 'chaos engineering experiment', 'latency', 'node or region failure', and the tool names 'LitmusChaos', 'Gremlin', and 'Chaos Mesh'. A few natural synonyms such as 'fault injection' or 'resilience testing' are missing, so it does not reach 5.

Distinctiveness Conflict Risk

It carves out a clear niche (scoping/authoring an experiment before running it) and actively reduces conflict risk by stating 'Chaos Mesh has its own skill', disambiguating the closest overlapping trigger. Minimal overlap risk remains.