Content
72%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The content is highly actionable with executable examples and good progressive disclosure to real reference files, but it is somewhat verbose and its workflows lack explicit validation checkpoints.
Suggestions
Tighten verbose sections — consolidate the 9 'When to Use' bullets and trim the descriptive overview prose to respect token budget.
Add a brief validation checkpoint to the core workflow (e.g., confirm a returned Ensembl/EFO ID is non-empty before querying details) to lift workflow clarity.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient domain-specific guidance and code, but sections like the 9-bullet 'When to Use', four full multi-step workflows, and descriptive overview prose could be tightened. | 2 / 3 |
Actionability | Provides fully executable, copy-paste-ready code with imports, real function calls, and documented return shapes (e.g., search_entities("BRCA1", entity_types=["target"])) matching the executable anchor. | 3 / 3 |
Workflow Clarity | Workflows are clearly numbered and sequenced, but there are no explicit validation checkpoints or error-recovery feedback loops, leaving checkpoints implicit. | 2 / 3 |
Progressive Disclosure | The SKILL.md is a clear overview with well-signaled one-level-deep references to real files (api_reference.md, evidence_types.md, target_annotations.md) and the helper script, with content appropriately split. | 3 / 3 |
Total | 10 / 12 Passed |