Conciseness

The body is dense, imperative, and free of concept explanations Claude already knows, and it delegates the canonical editing contract to an external skill rather than duplicating it. Minor redundancy keeps it below anchor 5: read-before-write and narrowest-scope guidance repeats across 'Senior-developer implementation lens', 'Preconditions', and 'Editing policy'.

Actionability

For an instruction-only skill the guidance is fully concrete and executable: exact state fields ('execution_evidence.mutation: executed/not_run'), an explicit pass-counting rule ('Count the initial file mutation as editing pass 1'), enumerated protected regions and preserved properties, and a defined report format. No pseudocode or vague direction remains.

Workflow Clarity

The mutation workflow is clearly sequenced (preconditions, 12-step editing policy, repair path, stop conditions, output) with explicit validation checkpoints: re-read after edit, handoff to preservation-verifier, pass-limit enforcement ('If pass.index has reached pass.max, do not repair'), and a bounded FAIL→repair→re-verify feedback loop. This satisfies the validation requirements for a file-mutating (destructive) skill.

Progressive Disclosure

The body is well sectioned with clearly signaled, purpose-stated, one-level-deep references (handoff-contract.md, skill-graph.json, agency-role-lenses.md), matching the good-structure anchor. It falls short of anchor 5 because the core editing contract is delegated entirely to a sibling path ('../avoid-ai-writing/SKILL.md') that is external to this skill's bundle and cannot be navigated or verified from the skill itself, and no bundle files exist alongside this SKILL.md.

Specificity

The description names the domain and several concrete actions ("clean, rewrite, humanize, or remove AI-writing patterns" with "minimal targeted edits and post-edit verification"), matching the several-specific-actions anchor. It falls short of anchor 5 because the action coverage is condensed into a trigger clause rather than comprehensively enumerating what the skill does.

Completeness

Both what and when are present: the when is explicit and specific ("Use when the user names a local file and explicitly asks to clean, rewrite, humanize..."), and the what (in-place targeted editing with verification) is stated but only embedded inside the when-clause rather than as its own distinct statement. This is above anchor 3 (which has a missing/weak when) and below anchor 5 (which states what and when as clearly separate explicit parts).

Trigger Term Quality

"clean", "rewrite", "humanize", and "remove AI-writing patterns" are natural phrases a user would say when requesting this. A few common natural terms are missing (e.g., "make it sound natural/less robotic", "sounds like AI/ChatGPT"), so it fits the good-coverage-with-gaps anchor rather than the comprehensive-synonyms anchor.

Distinctiveness Conflict Risk

The description carves out a clear niche — named-file, in-place mutation on explicit user request — and the phrase "in that file itself" explicitly disambiguates from returned-text rewriting skills. Trigger conditions (named file + explicit mutation request) are narrow, minimizing wrong-skill activation.