Conciseness

The body is mostly lean — a runnable quick start, dense numbered workflow, and terse edge cases — with every token close to earning its place. However, the negation point is repeated four times (intro, step 3, hand-off, edge cases) and 'SNOMED CT grounding is out-of-process' appears three times, so minor trimming would reach the level-5 anchor.

Actionability

The quick start is copy-paste-ready, executable code with expected output shown in comments ('# -> [{"concept": "type 2 diabetes", ...}]', '# "chest pain" excluded (negated)'), and the workflow names exact API calls (analyze_text, resolve_span_context, NEGATED/HISTORICAL/HYPOTHETICAL). The cheap normalize() placeholder is explicitly justified as out-of-process SNOMED territory, so it does not drag the score below fully executable.

Workflow Clarity

The six-step sequence is clear, ordered, and includes aggregation precedence rules ('Active wins over historical') plus edge-case checkpoints for known failure modes. It falls short of level 5 only because there is no explicit verification step (e.g., assert no NEGATED/HYPOTHETICAL concept landed on the list, or spot-check provenance offsets against the note) — checkpoints are present but implicit in the edge cases.

Progressive Disclosure

No bundle files exist, and the ~125-line body is well organized into clearly signaled sections (When to use, Quick start, Workflow, Hand-off, Edge cases, Standards) with only one-level external URLs. It is not level 5 because the skill exceeds the under-50-lines simple-skill bar and the edge cases / standards sections could arguably live in a reference file, though the single file remains easy to navigate.

Specificity

The description lists multiple concrete actions — 'Deduplicate and reconcile OpenMed-extracted conditions', 'clustering synonymous mentions into one concept', 'excluding negated mentions', 'applying clinical context (historical / hypothetical / recent) to set status', and 'emitting a USCDI-Problem-shaped list' — with comprehensive coverage of the skill's capabilities. It clearly matches the level-5 anchor (multiple specific concrete actions) rather than level 4, which would leave coverage gaps.

Completeness

It explicitly answers both questions: what it does ('Deduplicate and reconcile... into one clean active problem list with clinical status') and when to use it ('Use after NER and context resolution when the user wants a problem list, condition reconciliation, dedup...'). Both are stated with concrete trigger phrases, matching the level-5 anchor exactly.

Trigger Term Quality

Natural trigger phrases are present: 'problem list', 'condition reconciliation', 'dedup of synonymous diagnosis mentions', 'active-vs-resolved status'. Coverage is good but a few natural variations a clinician might say ('diagnosis list', 'chart review', 'past medical history cleanup') are missing, so it sits at the level-4 anchor rather than fully comprehensive level 5.

Distinctiveness Conflict Risk

It carves out a clear niche (OpenMed condition reconciliation into a problem list) and explicitly delimits against sibling skills ('Use after NER and context resolution', 'Pairs after extracting-clinical-entities', 'Hand-off: consume openmed.analyze_text Disease entities'), minimizing conflict risk. It is clearly distinct from the extraction and context-resolution skills it references, matching the level-5 anchor.