Conciseness

The body is dense with non-obvious operational knowledge (PostgREST auto-normalization, clinpgxid vs pharmgkbid, warfarin's 0-row exception, limit=1000 for FDA queries) and largely avoids explaining general concepts. However, the 'Metabolizer Status Reasoning' active-vs-prodrug explanation and the lengthy PharmVar paragraph restate pharmacology Claude largely knows, and phrases like 'Get it right before interpreting any metabolizer phenotype' are padding — minor over-explanation that could be trimmed, matching the 4 anchor.

Actionability

Every tool is documented with required parameters, return shapes, and concrete values, and the Example Workflows section gives literal copy-paste invocations covering the three common entry points: drug-first ('CPIC_get_recommendations(drug="codeine", limit=50)' → filter phenotypes), gene-first ('CPIC_search_gene_drug_pairs(gene_symbol="CYP2C19", cpiclevel="A")'), and variant-first ('PharmGKB_search_variants(query="rs1799853")'). Specific examples cover the common cases, matching the 5 anchor.

Workflow Clarity

A clear 7-phase pipeline with an ASCII overview diagram, per-phase Gotchas, and an explicit Fallback Strategies section providing error-recovery loops (e.g., 'drug auto-resolve fails → CPIC_get_drug_info + manual guideline_id extraction'). This is a read-only retrieval skill so the destructive/batch validation cap does not apply, but explicit verification checkpoints between phases are absent — a clear sequence with most checkpoints present and minor validation gaps, matching the 4 anchor rather than 5.

Progressive Disclosure

No bundle files exist (references/, scripts/, assets/ are all absent), so the full tool-by-tool API catalog — per-tool parameter schemas, return shapes, and gotchas for ~30 tools across ~280 lines — is inlined in SKILL.md. Section structure itself is good, but content that clearly belongs in a separate reference file is inline with no external split at all, matching the 3 anchor ('some structure but... content that should be separate is inline') rather than the 4 anchor, which requires most content to be appropriately placed across files.

Specificity

The description lists multiple concrete, comprehensive actions within the PGx niche: 'drug-gene interactions (CPIC, PharmGKB)', 'CPIC dosing guidelines', 'variant-drug-response associations', 'metabolizer-status scoring', 'CYP/HLA pharmacogenomic allele interpretation', and 'clinically-actionable PGx report generation'. Coverage is comprehensive rather than leaving minor gaps, matching the 5 anchor rather than the 4 anchor.

Completeness

It clearly answers 'what' (interaction retrieval, dosing guidelines, variant associations, metabolizer-status scoring) and explicitly answers 'when' with an explicit 'Use for...' clause naming concrete trigger scenarios ('PGx-informed dosing recommendations', 'CYP/HLA pharmacogenomic allele interpretation', 'clinically-actionable PGx report generation'). This matches the 5 anchor; the 'when' is explicit and specific, not merely present.

Trigger Term Quality

Good keyword coverage with natural domain terms users would say ('Pharmacogenomics', 'PGx', 'CPIC', 'PharmGKB', 'dosing recommendations', 'CYP/HLA', 'allele interpretation') plus the full-name/abbreviation synonym pair. A few natural terms are missing (e.g., 'star allele', 'genotype', 'drug response'), so it fits the 4 anchor rather than comprehensive 5 coverage.

Distinctiveness Conflict Risk

A clear niche with distinct triggers: CPIC, PharmGKB, CYP/HLA, PGx, and metabolizer-status terminology would not naturally trigger any other skill. Minimal conflict risk.