Content
75%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-structured tool reference: concrete call examples for all six tools, useful factual tables, and a clear phased workflow with an error-prevention note. Its weaknesses are a verbose reasoning section that re-teaches known population-genetics concepts and some content that could be split into reference files.
Suggestions
Trim the 'Interpretation Guidance' bullets to the non-obvious calibration values (Fst > 0.3 threshold, r2 LD bands, N < 100 precision caveat) and drop the textbook definitions of Fst, LD, and stratification that Claude already knows.
Make workflow Step 4 concrete — show how to cross-reference (e.g., a short Python snippet joining GWAS rsIDs with population allele frequencies) instead of 'Cross-reference with population data for stratification analysis'.
Move the 'Reasoning Framework' and 'Common Population Codes' tables to a references/ file and link them from SKILL.md, reducing the monolithic ~230-line body and the partial duplication with the 'Tool Parameter Quick Reference'.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The tool documentation, JSON examples, and code tables are tight and factual, but the 'Reasoning Framework for Result Interpretation' section spends ~30 lines explaining textbook population genetics Claude already knows ('Fst measures population differentiation (0 = no differentiation, 1 = complete fixation...)', 'Uncontrolled population structure in GWAS inflates false positives', 'AFR populations have shorter LD blocks'). This matches 'Mostly efficient but includes some unnecessary explanation or could be tightened'; it is not 4 because the padded conceptual explanation is a full section, not a minor instance, and not 2 because the bulk of the body is dense, non-padded reference material. | 3 / 5 |
Actionability | Every tool gets exact parameter signatures, return shapes, and copy-paste-ready JSON call examples ('{"superpopulation": "AFR", "limit": 10}', '{"gene_symbol": "TCF7L2", "limit": 10}'), plus response examples and a worked workflow. This matches 'Fully executable; copy-paste ready code or commands; specific examples cover the common cases'; it is not 4 because there are no missing key details in the tool call guidance. | 5 / 5 |
Workflow Clarity | The 'Workflow: Population Stratification in GWAS' section lays out a clear Steps 1-4 sequence, and the NOTE 'population takes a population code (e.g. "YRI"), not a superpopulation code' acts as an explicit error guard. It fits 'Clear sequence with most checkpoints present; minor validation gaps' — the workflow is read-only analysis so heavy validation loops are less critical, but Step 4 ('Cross-reference with population data for stratification analysis') is underspecified with no concrete method. Not 5 because there are no explicit validation/synthesis checkpoints inside the workflow itself, and not 3 because the sequence is concrete and guarded rather than leaving checkpoints merely implicit. | 4 / 5 |
Progressive Disclosure | No bundle files exist (no references/, scripts/, assets/), so the skill is a single file; it is well-sectioned with clear headers (When to Use, NOT for, Phases 1-4, Workflow, code tables, quick reference) and easy to navigate. This matches 'Good structure; most content is appropriately placed; minor organization gaps': the reasoning framework and code tables are arguably reference-file material inlined in SKILL.md, and the trailing 'Tool Parameter Quick Reference' partially duplicates the phase sections. Not 5 because nothing is split out into clearly-signaled one-level-deep reference files; not 3 because organization is strong, references are not buried, and no content is misfiled. | 4 / 5 |
Total | 16 / 20 Passed |