Conciseness

The body is dense and mostly earns its tokens: the population table, the quick start, the 7-step workflow, and the gotchas all carry skill-specific information rather than general knowledge. It is not level 5 because the opening paragraph and the eCQM anatomy section re-explain domain concepts (what CQL/QDM are, what IPP/denominator mean) that Claude largely already knows, though these are brief; it is well above the 'noticeably verbose' level-3/2 anchors.

Actionability

The quick start is executable (`openmed.analyze_text(note, output_format="dict")` with the entity shape documented) and the workflow steps name concrete tools, skills, and vocabulary. It falls short of level 5 because the fact-derivation snippet is labeled "illustrative" and uses raw keyword matching ("counseling" in note.lower()) that the skill's own gotchas later forbid ("don't match on the surface word"), an internal inconsistency; there is also no executable example for the QDM-materialization step.

Workflow Clarity

The 7-step workflow is clearly sequenced (read measure -> de-identify -> extract -> code -> materialize QDM -> compute in certified engine -> reconcile & audit) with a final verification/audit checkpoint and a negation-assertion gate in step 3. It does not reach level 5 because there are no explicit feedback loops for error recovery (no fix-and-retry guidance when coding, dating, or negation checks fail), leaving it at 'clear sequence with most checkpoints present'.

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are absent), and the ~115-line body is appropriately self-contained with well-organized, clearly headed sections (quick start, workflow, hand-off, gotchas, standards) — matching 'good structure; most content is appropriately placed'. It is not level 5 because the sibling-skill pointers (`choosing-openmed-models`, `resolving-clinical-context`, `building-patient-timelines`, `etl-to-omop-cdm`) are mentioned inline in prose without being clearly signaled as navigable references, a minor organization gap.

Specificity

Quotes multiple concrete actions: "Compute electronic clinical quality measures (eCQMs) over structured data using CQL/QDM logic", "lifting note-derived numerator and exclusion facts from OpenMed to improve measure capture", "build CQL/QDM measure logic", and "mapping OpenMed entities to QDM data elements". This matches the anchor for several specific, comprehensive concrete actions; it is not the level-4 anchor because coverage of the skill's capability surface is complete rather than showing minor gaps.

Completeness

It explicitly answers both questions: the "what" ("Compute electronic clinical quality measures (eCQMs) ... lifting note-derived numerator and exclusion facts") and a concrete "when" ("Use when the user wants to compute an eCQM, evaluate a CMS/ECQI quality measure, improve numerator capture from clinical notes, build CQL/QDM measure logic, or close documentation gaps"). This mirrors the level-5 good example's structure exactly; level 4 would require the 'when' to be less explicit, which it is not.

Trigger Term Quality

Natural trigger phrases are present and well-matched: "compute an eCQM", "evaluate a CMS/ECQI quality measure", "improve numerator capture from clinical notes", "build CQL/QDM measure logic", "close documentation gaps". It falls short of the level-5 anchor because a few natural synonyms users might say are missing (e.g. "quality reporting", "MIPS", "measure scoring/calculation"), while coverage is clearly better than 'some relevant keywords' at level 3.

Distinctiveness Conflict Risk

A clear niche (eCQM computation supplemented by note-derived facts) with distinct, domain-specific triggers (CQL, QDM, MADiE, numerator/exclusion capture) and explicit boundary scoping ("does not replace certified measure engines"). Minimal conflict risk with generic analytics or NLP skills; not level 4 because there is no meaningful overlap with a closely related skill's trigger set.