Conciseness

The body is dense and tool-specific with no padding of general concepts, but minor over-explanation remains: the parenthetical "(uv fetches that version from PyPI into a throwaway environment; it needs Python 3.10 or newer and nothing else)" explains what Claude already knows, and the version pin "0.6.1" is time-sensitive information repeated several times outside any 'old patterns'/'deprecated' section.

Actionability

Fully executable guidance: a copy-paste-ready command ("uvx new-term-radar==0.6.1 keywords \"photocraft\" \"synthid detector\" --repo ... --json"), a pip fallback, the exact working directory, required/optional env vars, concrete cost figures, and complete output-field definitions. It matches the 5 anchor's 'copy-paste ready commands; specific examples cover the common cases'.

Workflow Clarity

Steps 1–4 are clearly sequenced with explicit validation checkpoints: stop-and-report without AISA_API_KEY, a cost-consent gate ("run only after the user says yes: a request for keywords is not a yes"), error-field checks (posts_error, related_errors, country_errors) with instructions to surface failures, and recovery paths ("offer to read it again in three days", "Ask again if the list of names changes"). The batch-operation cap does not apply since validation is present throughout.

Progressive Disclosure

No bundle files exist and the body runs about 68 lines (beyond the under-50-line simple-skill exception), with the Step 4 output-field glossary (~20 lines of per-field definitions like "c3/c6 = the newest month against three and six months before") inlined as reference-style material that belongs in a separate file. Structure is present (clear section headers, numbered steps), so it fits the 3 anchor ('some structure; content that should be separate is inline') better than 4.

Specificity

The description lists multiple concrete actions — "finds the generic search terms downstream of it, screens them for relevance, and checks novelty, demand size and momentum against Google Ads volume and DataForSEO Trends, ending in prioritize, watch or skip" — with named data sources and a defined output, giving comprehensive coverage of the skill's pipeline.

Completeness

It explicitly answers both: the "what" is a full action chain producing a keyword priority table, and the "when" is an explicit "Use when the user has new model, product or repository names (or an AI listening report, a batch of posts, a changelog) and asks which keywords to build pages or tools for" clause with concrete trigger phrases — a direct match to the 5 anchor.

Trigger Term Quality

Natural triggers are well covered ("new model, product or repository names", "an AI listening report, a batch of posts, a changelog", "which keywords to build pages or tools for"), but common phrasings a user would naturally say such as "SEO", "keyword research", or "search volume" are absent. It sits above anchor 4's 'a few natural terms missing' fit is exact; it does not reach 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

A clear niche (triage of newly surfaced AI-term keywords) with distinct triggers and named tooling (new-term-radar, AISA_API_KEY, DataForSEO Trends), making accidental triggering by unrelated skills very unlikely.