Content
50%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is well-organized and domain-specific but verbose: it re-teaches concepts Claude already knows, offers abstract workflows without executable tool examples or validation checkpoints, and bundles everything into one file rather than progressively disclosing detail. It scores a uniform 2 across all dimensions.
Suggestions
Cut the Glossary and the fixed/random-effects and I²-formula explanations — Claude already knows these; keep only the tool list, thresholds, and tier definitions that are non-obvious.
Add executable tool-invocation examples for each use-case workflow (e.g., actual gwas_search_studies call arguments and how to combine results) so guidance is copy-paste ready rather than bulleted prose.
Add validation/checkpoint steps to the workflows (e.g., confirm overlap of SNPs across studies before meta-analysis, abort if I² > 75%) and move the scientific references and statistical-method detail into reference files linked from the body.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is efficient in places (concrete tool names, thresholds) but padded with concepts Claude already knows — a glossary ('Association: Statistical relationship...', 'Meta-Analysis: Statistical combination...'), the I² formula prose, and fixed/random-effects model explanations — so it lands at 'mostly efficient but could be tightened' rather than lean. | 2 / 3 |
Actionability | It names specific tools (gwas_search_studies, OpenTargets_get_study) and concrete thresholds (I² < 25%, p < 5×10⁻⁸, Tier n ≥ 50,000), but workflows are abstract bulleted steps ('Calculate combined effect size', 'Filter studies by ancestry') with no executable tool-invocation examples or copy-paste commands. | 2 / 3 |
Workflow Clarity | Use-case workflows are sequenced lists, but there are no validation checkpoints or error-recovery feedback loops for batch aggregation operations, which caps workflow clarity at 2 per the rubric. | 2 / 3 |
Progressive Disclosure | The skill is a single ~330-line monolith with no bundle files; content that could be separate references (glossary, scientific references, detailed statistical methods) sits inline, so it has structure but no one-level-deep reference split. | 2 / 3 |
Total | 8 / 12 Passed |