Conciseness

The body is efficient — tool calls, gotchas, and evidence tiers with no padding — but parameter gotchas appear twice (inline in the Phase sections and again in the 'Key Parameter Gotchas' section), which is trimmable duplication. Not below anchor 4 since the domain reasoning (convergence, druggability tiers) is non-obvious guidance rather than over-explanation.

Actionability

Every tool is given with exact parameter names and value formats (e.g., "identifiers='P04637 P38398 ...'" space-separated string, "gwas_get_snps_for_gene(gene_symbol=<gene>)"), plus decision rules like evidence tiers and the ranking formula 'Genetic Evidence x Druggability x Pathway Centrality' — copy-paste-ready guidance covering common cases, matching the 5 anchor.

Workflow Clarity

The three-step workflow is clearly sequenced with prioritization criteria and explicit cross-validation checkpoints ("Cross-check with OpenTargets_target_disease_evidence", "Identify pathways appearing across multiple databases"), but there are no error-recovery feedback loops (e.g., what to do when a tool returns {error} or enrichment returns nothing) — anchor 4 rather than 5.

Progressive Disclosure

The body is well-organized with clear headed sections (reasoning principles, phased tool guide, workflow, gotchas, limitations), and no bundle files exist so nothing is misfiled. Minor gap: ~50 lines of per-tool parameter detail in the 'Tool Selection Guide' could live in a references/ file to keep SKILL.md an overview — good structure (anchor 4) rather than the fully split ideal (anchor 5).

Specificity

"Maps GWAS hits to causal genes (via fine-mapping/eQTL), then to pathways (Reactome, KEGG, WikiPathways), then to existing drugs hitting those pathways" lists multiple concrete, chained actions with comprehensive coverage of the skill's capabilities.

Completeness

It explicitly answers both what ("Connect GWAS variants to biological pathways and druggable targets... Maps... then to pathways... then to existing drugs") and when ("Use for pathway-level disease mechanisms, druggable-pathway prioritization from GWAS, SNP-to-pathway-to-target tracing, and tissue-specific eQTL evidence for drug target hypotheses") with concrete trigger phrases, mirroring the 5-anchor exemplar.

Trigger Term Quality

Natural domain terms are comprehensively covered — GWAS, variants, SNP, pathways, druggable targets, eQTL, fine-mapping, drug target — matching the vocabulary a user of this domain would actually say (e.g., "SNP-to-pathway-to-target tracing", "tissue-specific eQTL evidence").

Distinctiveness Conflict Risk

The GWAS-to-pathway-to-drug-target pipeline is a clear niche with distinct triggers, but the description overlaps with closely related sibling skills (GWAS-to-gene mapping, gene enrichment) referenced in the body — anchor 4 rather than 5.