Content
38%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.
The body is a well-organized but monolithic 1,100-line medical reference dumped into SKILL.md, with no bundle files, no executable mechanics for the data it claims to analyze, and substantial duplication of medical knowledge Claude already has. Scoring tables and scenario walkthroughs give it real domain value, but structure and token efficiency are far below skill best practices.
Suggestions
Split the SKILL.md into reference files (e.g., references/iief5.md, references/std-screening.md, references/contraception.md, references/cross-module.md) and keep the main file to an overview plus one-line pointers.
Trim knowledge Claude already has (general lifestyle guidance, nutrient food sources, drug-class side effects) down to the app-specific values: scoring weights, cutoffs, and interval tables.
Add concrete mechanics for the claimed workflows: where module data lives, its format, how to compute the risk scores step by step, and how to render the listed visualizations — plus an explicit validation checkpoint before reporting (e.g., refuse analysis when records are incomplete).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is a ~1,100-line / 26 KB monolithic catalog inlined in SKILL.md. Much of it restates general medical knowledge Claude already has (lifestyle guidance like "150 minutes of moderate aerobic exercise per week", Mediterranean diet composition, zinc food sources, drug-class effects like "SSRIs can cause sexual dysfunction"), matching anchor 2 ('noticeably verbose; several unnecessary explanations or padded sections'). It avoids anchor 1 only because substantial portions are skill-specific data (the app's risk-scoring weights, IIEF-5 severity cutoffs, screening-interval tables) rather than pure padding. | 2 / 5 |
Actionability | Concrete elements exist — specific scoring tables (ED risk weights by factor, STD behavioral scoring), severity cutoffs, and five numbered scenario workflows — but execution mechanics are missing: no data paths or formats for the referenced modules ("medication module data", "chronic illness module data"), no code or commands, and visualization outputs are named but never specified. This matches anchor 3 ('Some concrete guidance but incomplete; missing key details') and not anchor 4, whose examples include executable code. | 3 / 5 |
Workflow Clarity | The five usage scenarios list coherent numbered analysis flows (e.g., Scenario 2: retrieve IIEF-5 history → analyze medications → assess chronic disease control → ... → generate plan), and a quality-assurance section names data validation. However, checkpoints are implicit and never wired into the steps (no 'verify data completeness before interpreting', no error handling for missing records), matching anchor 3 ('sequence present but checkpoints missing or implicit'). Not anchor 2, because sequences are well-defined and consistent across scenarios. | 3 / 5 |
Progressive Disclosure | The skill bundle contains no references/, scripts/, or assets/ directories — everything is inlined in SKILL.md. Content that clearly belongs in separate reference files (the full STD disease reference, the eight-method contraception catalog, the nutrition and medication cross-analysis) is inlined, exactly matching anchor 2 ('Minimal structure; content that clearly belongs in separate files is inlined'). It avoids anchor 1 because the body does have real structure (numbered sections, tables, headers), but cannot reach 3+ since there is no file-level disclosure at all. | 2 / 5 |
Total | 10 / 20 Passed |