The body is lean — Quick Start with copy-paste commands, a tight CLI table, cost, output fields, and notes — with no padding or explanation of concepts Claude already knows, so every token earns its place rather than the mostly-efficient-but-tightenable case at 2.

Quick Start provides fully executable, flag-complete commands and the CLI Reference table enumerates every flag with defaults, making the guidance copy-paste ready rather than the pseudocode/incomplete case at 2.

This is a single-action read-only skill whose action is unambiguous (run the script with flags) and which includes a pre-flight cost-estimate checkpoint; the simple-skills note allows 3 here, and the destructive/batch validation cap does not bind for read-only retrieval.

Content is well-organized into clearly signaled sections and correctly points to the real bundle script (scripts/discover_influencers.py exists) plus downstream Apify actors for advanced use; for a simple single-script skill this clear structure earns 3.

Names concrete filter dimensions ('by topic, industry, follower count, and country') and multiple use-case actions ('find the top 100 voices', 'build influencer lists for outreach', 'identify thought leaders'), matching the multiple-specific-actions anchor rather than the single-domain anchor at 2.

Explicitly answers both what ('Discover top LinkedIn influencers and voices by topic, industry, follower count, and country') and when via a 'Use when you need to...' clause, matching the both-what-and-when anchor.

Covers natural terms a user would say — 'LinkedIn influencers', 'voices', 'thought leaders', 'influencer lists', 'outreach', 'follower count' — giving good coverage rather than the partial keyword set at 2.

The LinkedIn influencer discovery niche with distinct triggers is unlikely to fire for unrelated skills, matching the clear-niche anchor rather than the overlapping-skill anchor at 2.