Content
82%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 well-structured, highly actionable skill body anchored in executable tool calls across a clear 7-phase workflow with fallbacks and troubleshooting. It is concise and well-organized, with only minor room to add an explicit ID-resolution checkpoint and to externalize the tool-call catalog.
Suggestions
Add an explicit validation checkpoint at the end of Phase 1 confirming each required ID (Ensembl/HGNC/MIM or MONDO/EFO/ORPHA) resolved before proceeding to downstream phases.
Consider moving the per-phase tool-call catalog into a bundled reference file (e.g. references/tool-calls.md) and keeping SKILL.md as a phase overview with one-level links, to improve progressive disclosure.
Tighten the 'Reasoning Strategies' and 'Troubleshooting' prose by converting narrative paragraphs into scannable bullet rules to trim tokens further.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Code-forward and largely free of basic-concept padding; the reasoning-strategies and troubleshooting prose add domain value but could be trimmed slightly, keeping it just below a fully lean 5. | 4 / 5 |
Actionability | Fully executable Python tool calls with named functions, real parameters, and inline return annotations per phase, plus a concrete BRCA1 synthesis table—copy-paste ready and covering common cases. | 5 / 5 |
Workflow Clarity | A clear 7-phase sequence with an ASCII flow diagram, explicit API-key fallbacks, and a troubleshooting section; falls short of 5 only because there is no explicit checkpoint confirming IDs were resolved before downstream phases. | 4 / 5 |
Progressive Disclosure | Well-organized into clearly headed phases with one-level sibling-skill links in Resources and no nested references; the inline per-phase tool catalog and example table could be split into a reference file to reach 5. | 4 / 5 |
Total | 17 / 20 Passed |