Conciseness

The body is lean with zero concept explanation: prerequisites in one line ("Requires APIFY_API_TOKEN env var... pip install requests"), a compact CLI table, a one-line cost note, a field list, and factual Notes. Every section adds information Claude would not already know, matching the "every token earns its place" anchor. It is not score 4 because there is no over-explanation or padding to trim.

Actionability

Four copy-paste-ready commands cover the common cases (topic only, topic+country, has-email, follower range), plus install, env var, output format, cost estimate, and a documented output-field contract. This matches the fully-executable, common-cases-covered anchor; there are no gaps that would drop it to score 4.

Workflow Clarity

As a simple single-action skill the invocation is unambiguous (prereqs → run command), and the printed pre-run cost estimate acts as a checkpoint. However the operation calls a paid external API with a --timeout flag and no guidance on handling failures, timeouts, or empty result sets — a minor validation gap consistent with the score-4 anchor ("most checkpoints present; minor validation gaps") rather than the explicit error-recovery loops of score 5. It is not score 3: the single action is clear and the operation is read-only, not destructive or mutation-based.

Progressive Disclosure

The body is a compact (~75 line) overview with well-organized sections, one script bundle (scripts/discover_influencers.py) that exists on disk and is referenced with a correct path, and no buried or nested references. Nothing that belongs in a separate file is inlined (the CLI table and field list are short enough to belong here), matching the small-skill ideal in the scoring notes.

Specificity

The description lists several concrete capabilities — "Discover top LinkedIn influencers and voices by topic, industry, follower count, and country", "build influencer lists for outreach", "identify thought leaders" — with minor gaps (e.g., output/enrichment details unstated). It sits above the score-3 anchor (only 1-2 actions, e.g. "Processes PDF files and extracts content") because multiple distinct actions and four filter dimensions are named, but below score 5 since coverage is not fully comprehensive.

Completeness

It explicitly answers both questions: the "what" is concrete ("Discover top LinkedIn influencers and voices by topic, industry, follower count, and country") and the "when" is an explicit multi-trigger clause ("Use when you need to find the top 100 voices in a space, build influencer lists for outreach, or identify thought leaders on LinkedIn"), matching the score-5 anchor pattern. Not score 4, because the when-clause is specific and concrete rather than vague; there is no higher anchor.

Trigger Term Quality

Natural phrases users would actually say are present: "LinkedIn influencers", "top 100 voices in a space", "influencer lists for outreach", "thought leaders", plus filter terms (topic, industry, follower count, country). A few natural synonyms are missing (e.g., "creators", "KOLs", "influencer marketing"), so it falls just short of the comprehensive synonym coverage of the score-5 anchor.

Distinctiveness Conflict Risk

It occupies a clear niche — LinkedIn influencer discovery with explicit filters — and its triggers (influencer lists, thought leaders, top voices) are unlikely to fire for unrelated skills. Minor overlap with generic social-media search skills exists but is far below the "minor overlap risk" threshold of score 4, which is reserved for descriptions that could be confused with closely related skills.