Content
78%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A highly actionable, well-sequenced pipeline skill: exact tool signatures, verified live example calls with real outputs, format gotchas, and explicit fallbacks for failure modes. Its main weaknesses are moderate inline padding of textbook HLA biology and a monolithic structure that inlines reference-grade detail (tool APIs, affinity thresholds, drug associations) instead of splitting it into separate files.
Suggestions
Split per-database tool reference detail (e.g., IMGT/IPD, IEDB, HLA Ligand Atlas/MHC Motif Atlas tool signatures and verified examples) into references/ files, keeping SKILL.md as the workflow overview with clearly signaled one-level-deep links.
Trim content Claude already knows — the background biology in the Reasoning Strategy section and the 'Well-known HLA-drug associations' list — to the one-line reminders needed for lookup orientation (e.g., 'verify HLA-B*57:01/abacavir-type associations via DGIdb/PubMed, do not rely on memory').
Add an explicit cross-source validation checkpoint in Phase 6 (e.g., confirm allele nomenclature against IPD allele_history and reconcile IEDB binding evidence against Ligand Atlas elution data before reporting) to close the workflow validation gap.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The bulk is lean operational detail Claude cannot know: exact parameter names and formats ('Input: name (e.g. "A*02:01" -- NOT query, a common mistake)', 'hla_class must be the literal string "HLA-I"'), performance guidance ('can take 60+ seconds or time out'), and verified live example calls. Minor over-explanation remains: the Reasoning Strategy paragraph and the 'Well-known HLA-drug associations' list restate biology (HLA-B27/ankylosing spondylitis, abacavir/HLA-B*57:01) Claude already knows. Not 3 because padding is limited; not 5 because those sections could be trimmed. | 4 / 5 |
Actionability | Fully executable guidance: every tool lists exact inputs and outputs, two sections provide copy-paste-ready verified live examples with real returned values ('IPD_search_hla_alleles({"name": "A*02:01"})' returning accessions 'HLA00005/HLA00006', 'MHCMotifAtlas_get_allele_ligands({"allele": "A0201"})' returning 'ALFTKVLENV'), plus format pitfalls and explicit IC50 thresholds covering common cases. | 5 / 5 |
Workflow Clarity | Phases 0-6 are clearly sequenced, each with an objective, tool inventory, and numbered workflow, plus a fallback section providing error-recovery loops ('If allele not found: Check nomenclature...', 'BVBRC empty results: Try broader organism name') and an early species/resolution checkpoint. Not 5 because there is no explicit cross-source validation step (e.g., confirming an IEDB result against IMGT annotation) in the report-synthesis phase; not 3 because checkpoints and feedback loops are present and concrete. This is a read-only lookup skill, so the destructive/batch validation cap does not apply. | 4 / 5 |
Progressive Disclosure | No bundle files exist (no references/, scripts/, or assets/), and the ~250-line body inlines per-tool API reference detail, IC50 interpretation tables, drug-association lists, and nomenclature primers that, at this length, belong in separate reference files with the SKILL.md acting as an overview. Well-structured with clear headers, so above 2, but the monolithic single-file layout with zero external references fits anchor 3 ('content that should be separate is inline') better than 4. | 3 / 5 |
Total | 16 / 20 Passed |