Conciseness

The body is efficient overall and assumes Claude's competence (no basic-concept explanations), but has minor trimmable redundancy: API costs are stated in the intro, again in Step 1, and again in Step 5, and the Minerva response field mappings appear twice — as an extraction list in Step 3 ('professional_emails[0].email_address -> work email') and again as write-back mappings in Step 4. This fits 'minor instances of over-explanation that could be trimmed' (4) rather than level 5's 'every token earns its place'.

Actionability

Every step is copy-paste executable: exact 'npx agentcash fetch ... --body' commands with full JSON request bodies for all three endpoints, precise response field paths, explicit API-selection strategy with a priority order, and concrete classification rules (Complete/Partial/Missing). Specific examples cover the common cases, matching the level-5 anchor.

Workflow Clarity

Steps 0–5 are clearly sequenced, and this batch/write operation includes explicit validation: a balance gate before any paid call, a dedicated 'Validate matches' section instructing to skip and report wrong-looking matches rather than write bad data, re-reading the page before updating, only filling missing fields, and a final report with per-call cost accounting. Feedback loops (PDL fallback when Minerva fails, re-checking balance after funding) are present, matching the level-5 anchor.

Progressive Disclosure

The body is well-sectioned with clear headers and uses on-demand schema discovery ('npx agentcash check <url>', 'npx agentcash discover stableenrich.dev') instead of inlining full API docs — good practice with no nested references. However, at ~183 lines the full per-endpoint request/response mappings for Minerva and PDL are inlined in SKILL.md where a references/ split (e.g. an api-mappings.md) would keep the overview leaner. This fits 'good structure; most content appropriately placed; minor organization gaps' (4) rather than the well-split level-5 anchor.

Specificity

The description lists multiple concrete actions — 'Enrich people in a knowledge graph or wiki with contact and social media information — LinkedIn, email, phone, Twitter/X — using premium enrichment APIs via the agentcash CLI' — naming the domain, the specific data types, and the tool. Coverage is comprehensive, matching the level-5 anchor rather than the 'minor gaps' of level 4.

Completeness

Both 'what' and 'when' are explicit: the first sentence states what the skill does, and 'Use this skill when the user wants to enrich contacts, find someone's LinkedIn or email... or says...' gives concrete trigger phrases. This clearly matches the level-5 anchor; it is not the level-4 case because the 'when' clause is specific and multi-triggered, not merely present.

Trigger Term Quality

Natural user phrasings are quoted directly: "enrich contacts", "find someone's LinkedIn or email", "'find contact info'", "'look up LinkedIn'", "'fill in missing info'", plus synonyms like "wiki or knowledge base" and "Twitter/X". This is comprehensive natural-term coverage including variations, matching the level-5 anchor; level 4 ('a few natural terms missing') understates it.

Distinctiveness Conflict Risk

The niche is clear — enriching people pages in a knowledge graph/wiki via premium enrichment APIs — and unlikely to collide with unrelated skills. However, the trailing catch-all 'or anything about augmenting people/contact pages with external data' and the generic phrase "fill in missing info" add minor overlap risk with contact-management or wiki-editing skills, fitting 'mostly distinct; minor overlap risk' rather than the fully distinct level-5 anchor.