Conciseness

The body is dense and directive, teaching only Jev-specific knowledge (exit-code semantics, profiles, auth env vars) rather than concepts Claude already knows. Two adjacent paragraphs both dwell on preserving substantive claims, so minor trimming is possible — matching the 'efficient; minor instances of over-explanation' anchor rather than the lean level 5.

Actionability

Guidance is copy-paste ready: 'jev-prose check draft.txt --profile general > report.json', 'uv tool install ./packages/jev-prose', named flags (--profile formal, --audience, --voice, --context, --backend typesafe), named env vars, and machine-checkable report fields ('ran: true', 'ok: true', 'answered == expected') covering the common cases.

Workflow Clarity

The five-step bounded loop has explicit validation checkpoints (step 3's exit-code and report-field checks), a feedback loop (revise then re-check), hard bounds ('at most three revisions and four checks total'), and error recovery ('undo any harmful edit') — matching the clear-sequence-with-explicit-validation anchor.

Progressive Disclosure

No bundle files exist and none are needed (the package carries the question bank), and the Setup/Bounded-loop sections are well organized. At ~66 lines it slightly exceeds the under-50-line simple-skill exception, so it sits at 'good structure; content appropriately placed' rather than the clear-overview-with-references ideal.

Specificity

The description names the domain ('narrow AI-writing patterns') and exactly two concrete actions — 'Check prose with Jev' and 'revise from its feedback' — which matches the anchor for naming a domain with 1-2 concrete actions rather than the 'several specific actions' of level 4.

Completeness

It clearly answers both questions: what it does ('Check prose with Jev for narrow AI-writing patterns and revise from its feedback') and when to use it via an explicit 'Use when asked for Jev prose checks, AI-pattern cleanup, or an ongoing check-and-rewrite loop' with concrete trigger phrases.

Trigger Term Quality

Natural trigger phrases like 'Jev prose checks', 'AI-pattern cleanup', and 'check-and-rewrite loop' give good keyword coverage, though common user phrasings such as 'make it sound less like AI' or 'AI-sounding text' are missing, keeping it just below comprehensive.

Distinctiveness Conflict Risk

The 'Jev' tool name carves out a clear niche and anchors the triggers ('Jev prose checks'), leaving only negligible overlap risk with generic prose-editing skills via the 'AI-pattern cleanup' phrase.