Conciseness

The body is lean and assumes competence: no explaining what LinkedIn is, no library tutorials — just a gate command, router command, exit-code semantics, a lane table, five forcing questions, and hard rules. Not 5: minor trimmable content exists — the editorial framing 'The five lanes cover what actually moves' and a 'Distinct from' section that duplicates the frontmatter's distinct_from field.

Actionability

Concrete copy-paste commands with flags and placeholders ('python3 scripts/linkedin_policy_gate.py --text "<the user's own words>" --output human'), branch-by-exit-code instructions, and a lane-to-ask table. Not 5: after routing, the main action 'invoke that lane' has no path or command for the five sub-skills, '/cs:grill-linkedin' is referenced without saying where it lives, and only 2 of the claimed 17 scripts are shown — so the common cases aren't fully covered by executable guidance.

Workflow Clarity

Clear three-step sequence (gate → route → forcing questions) with an explicit validation checkpoint before any drafting, prescribed error-recovery per branch (exit 4 REFUSE: name the rule and route to the printed substitute; exit 2: ask one question with a recommendation; exit 3: ask what they want), and a hard-rules checklist. Feedback loops and 'A REFUSE outranks any route below' precedence are explicit.

Progressive Disclosure

The in-file structure is good — a lean overview with clearly signaled, one-level-deep references (scripts table, references list with one-line descriptions). But scored against the actual bundle: no scripts/, references/, or assets/ directories exist, so every referenced path (linkedin_policy_gate.py, linkedin_platform_canon.md, linkedin_operating_agreement.md) is dangling and the '17 stdlib scripts' claim is unverifiable. Not 4 because navigation to the referenced material is broken as delivered; not 2 because the SKILL.md itself is well organized and references are not buried or nested.

Specificity

The description lists multiple concrete deliverables — 'a rewritten profile or headline', 'post drafts and hooks', 'a posting cadence or newsletter plan', 'connection notes and outreach', 'repurposing an article or talk into posts', 'a read on why their reach dropped' — comprehensively covering all five lanes. Not 4 because coverage spans profile, strategy, content, engagement, and analytics with no material gaps.

Completeness

Explicitly answers both questions: 'Use when someone wants to grow an organic LinkedIn presence' states when, and the enumerated deliverables plus 'Forks context to route to one of five sub-skills, and refuses automation, scraping, pods, and bulk DMs before any drafting starts' state what (including boundary behavior). Both are concrete, not implied.

Trigger Term Quality

Triggers are verbatim natural user phrases — 'grow my LinkedIn', 'fix my headline', 'write a LinkedIn post', 'what should I post about', 'my reach dropped' — covering growth, profile, content, engagement, and analytics asks with synonyms ('connection request' alongside 'connection notes'). Not 4: even the informal phrasings users would actually say are present; only trivial variants (e.g. 'personal brand') are absent.

Distinctiveness Conflict Risk

The niche (one person's organic LinkedIn presence) is clear and most triggers carry the 'LinkedIn' brand, but 'fix my headline', 'what should I post about', 'connection request', and 'my reach dropped' are platform-agnostic and could match sibling growth skills (e.g. x-twitter-growth) or the five sub-skills this orchestrator routes to. Not 5 because of that minor overlap risk; not 3 because the platform scope and refusal boundary make wrong-skill triggering unlikely.