The body is mostly efficient with no padding of concepts Claude already knows, but key facts repeat across sections — the 2–3% density threshold appears in both Quick Reference and Check, 'natural language variation' recurs in Quick Reference/Fix/Explain, and Panda/SpamBrain repeat in Quick Reference and Explain. It is above the verbose anchor but below the lean one because of this verbatim redundancy.

As an instruction-only skill it gives concrete, actionable guidance: explicit rewrite substitutions ('Instead of repeating "SEO best practices" 8 times, use: ...'), a specific alt-text replacement example, a DevTools CSS computed-styles check, and a Flesch Reading Ease test. Per scoring_notes, absent code is not penalized for instruction-only skills when guidance is this specific and copy-ready.

Check (1–5 flagging criteria) and Fix (1–6 steps) are clearly numbered, but no explicit validation checkpoint or validate→fix→retry loop appears, so checkpoints are only implicit. It is not at 1 because the sequence is clear, and not at 3 because there is no explicit verification step.

The body serves as a concise overview and points to a single, clearly signaled one-level-deep reference ('see references/rule.md') that exists as a real 102-line file. Structure is well-organized into distinct sections matching the top anchor.

Three concrete actions are named explicitly — 'auditing content pages for over-optimisation', 'reviewing AI-generated content that may repeat target phrases excessively', and 'checking meta tags and alt text for unnatural keyword accumulation'. This matches the top anchor listing multiple specific concrete actions rather than just naming a domain.

It opens with an explicit 'Use when...' clause and embeds the what-it-does (audit/review/check) within the same sentence, clearly answering both what and when. It is not capped at 2 because an explicit trigger clause is present.

It uses natural terms a user would say — 'over-optimisation', 'AI-generated content', 'target phrases', 'meta tags', 'alt text', 'keyword accumulation' — covering common variations rather than relying on jargon.

It targets a narrow SEO niche (keyword stuffing detection) with distinct triggers, making it unlikely to fire for unrelated skills. The specificity of the audit targets reduces overlap with generic content skills.