Conciseness

The body is dense and mostly instructional rather than explaining known concepts, but contains pervasive redundancy: the citation rules appear three times (Step 4.5 rules, Hard Rules 11–13, Section I requirements), the Dataset Disclaimer appears in Step 7-D and again verbatim as Hard Rule 22, Section G rules repeat as Hard Rules 15/17, and endpoint formulas repeat as Hard Rule 18. Fits 'mostly efficient but... could be tightened'; not a 2 because the material is substantive rather than padded concept explanation.

Actionability

Concrete guidance throughout: exact input format ('[cancer type] + [biomarker direction OR hub-gene direction...]'), verbatim redirect text, a pattern-selection table, config comparison table, exact dependency formulas ('DEG ∩ survival-associated genes ∩ PPI hubs'), verbatim disclaimer text, and fully specified output sections A–J. Mostly executable for an instruction-only skill with minor gaps — e.g., 'Do not merely list tool names. Explain the logic of each decision' is directive without a worked example in the body — so a 5 is not warranted.

Workflow Clarity

Seven steps 'always run in order' with an explicit validation checkpoint: Step 5 is 'mandatory before output' with a feedback loop ('If any dependency inconsistency is found, revise the plan before outputting'), Step 4.5 is mandatory, and mandatory output sections A–J plus 23 hard rules form a checklist. Matches the top anchor (clear sequence, explicit validation, feedback loops, checklists).

Progressive Disclosure

The body is a well-sectioned overview that appropriately pushes detail to eight existing, one-level-deep reference files, each clearly signaled ('→ Detailed pattern logic: [references/study-patterns.md]', etc.); all eight referenced paths exist in the bundle. Navigation is easy and the split is appropriate, matching the top anchor; the inline Hard Rules redundancy is a conciseness issue rather than a structural one.

Specificity

Concrete generative action ('Generates complete... research designs from a user-provided cancer type and study direction') with comprehensive, enumerated coverage of outputs — 'four workload configs (Lite / Standard / Advanced / Publication+)', 'recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, publication upgrade path' — plus five named study patterns. Matches the 'multiple specific concrete actions; comprehensive coverage' anchor; nothing below fits since coverage is complete, not just 'several actions'.

Completeness

Explicitly answers both: what — 'Generates complete conventional oncology bulk-transcriptome biomarker and hub-gene research designs'; when — 'Always use this skill whenever a user wants to design, plan, or build a tumor bioinformatics study centered on...'. Both are concrete with explicit trigger phrases, matching the top anchor; a 4 would require a weaker or implicit 'when' clause, which is not the case here.

Trigger Term Quality

Good natural coverage: 'design, plan, or build a tumor bioinformatics study', 'biomarker', 'hub-gene', 'prognostic', 'differential expression', 'immune infiltration context', 'methylation context', 'clinical association'. A few natural terms domain users would say are missing ('survival analysis', 'risk score', dataset names like TCGA/GEO, 'DEG analysis'), so it fits the 'good keyword coverage; a few natural terms missing' anchor rather than the comprehensive-with-synonyms anchor.

Distinctiveness Conflict Risk

A clear niche (conventional oncology bulk-transcriptome hub-gene research planning) with domain-specific triggers unlikely to fire for unrelated skills; the scope is tightly bounded by 'conventional', 'bulk-transcriptome', and the enumerated analysis types. Minimal conflict risk, matching the top anchor.