Content
88%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 clinical workflow with executable code, specific tool guidance, and strong validation checkpoints. The main gaps are minor over-explanation in rationale prose and reference files that are signaled but absent from the bundle.
Suggestions
Ship the referenced bundle files (ACMG_CLASSIFICATION.md, CODE_PATTERNS.md, CHECKLIST.md, EXAMPLES.md, TOOLS_REFERENCE.md) alongside SKILL.md, or inline the essential parts and drop the dangling references, so signaled navigation actually resolves.
Tighten the rationale prose in Phase 2.5 and the 'Handling Conflicting Evidence' section to instruction-first guidance, trimming explanatory sentences that don't change what Claude does.
Verify the cross-skill path 'skills/tooluniverse-sequence-analysis/scripts/amino_acids.py' resolves from the skill's install location, or replace it with a self-contained snippet.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Largely efficient and tool-specific (exact parameters, return shapes, thresholds), but several rationale paragraphs — Phase 2.5's 'this is what turns the variant is in an enhancer into...' and the multi-paragraph 'Handling Conflicting Evidence' prose — over-explain reasoning that could be tightened without losing actionability. | 4 / 5 |
Actionability | Provides copy-paste-ready executable code (the complete classify_acmg function with a worked PALB2 example), exact tool names with parameters and return shapes, concrete fallback chains, and specific thresholds (e.g. BS1 ~0.0001 for high-penetrance genes) covering the common cases. | 5 / 5 |
Workflow Clarity | Clear phased sequence (Phases 1–6 plus 2.5/2.9/4.2/4.5) with explicit validation checkpoints — the 'LOOK UP, DON'T GUESS' gate, the Phase 2.9 short-circuit check, the Quantified Minimums checklist, and tool-failure fallbacks that act as feedback loops for the database operations. | 5 / 5 |
Progressive Disclosure | Excellent disclosure structure — a concise overview with well-signaled, one-level-deep references each given a one-line description in the References section — but the referenced files (ACMG_CLASSIFICATION.md, CODE_PATTERNS.md, CHECKLIST.md, EXAMPLES.md, TOOLS_REFERENCE.md) and the cross-skill amino_acids.py script are not present in the bundle, so the signaled navigation does not resolve. | 4 / 5 |
Total | 18 / 20 Passed |