Content
6%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill reads as a product requirements document or medical reference guide rather than an actionable skill for Claude. It contains extensive domain knowledge that Claude already possesses (disease classifications, nutritional deficiency symptoms, risk factors), zero executable code or concrete implementation guidance, and is massively over-length with no progressive disclosure structure. The content describes *what* an oral health analyzer should do conceptually but never instructs Claude *how* to actually perform any analysis.
Suggestions
Replace the entire document with a concise skill that specifies: (1) the expected input data format/schema, (2) concrete analysis functions or code to execute, (3) the expected output format. Remove all medical knowledge Claude already has.
Add concrete data schemas (JSON/YAML) showing what oral health records look like and what analysis output should contain, so Claude knows exactly what to produce.
Split the content into a brief SKILL.md overview (<50 lines) with references to separate files for risk assessment criteria, cross-module analysis rules, and scenario examples.
Remove sections that are not actionable instructions: 'Future Extensions', 'Limitations', 'Reference Resources', and detailed disease staging criteria that Claude already knows from training data.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Extensively explains medical concepts, risk factors, nutritional deficiencies, and disease classifications that Claude already knows. The content reads like a medical textbook or product specification document rather than a concise skill instruction. Sections like 'Limitations', 'Future Extensions', 'Reference Resources', and detailed disease staging criteria are unnecessary padding. | 1 / 5 |
Actionability | Contains zero executable code, no concrete commands, no data schemas, no API calls, and no specific tool usage instructions. Everything is abstract description — lists of what to analyze and what to output, but never how to actually do it. There are no examples of actual data formats, no function signatures, and no concrete implementation guidance. | 1 / 5 |
Workflow Clarity | The 'Usage Scenarios' section provides numbered analysis flows, but these are entirely abstract (e.g., '读取最近6个月的所有口腔健康记录' — read records, but from where? in what format?). No validation checkpoints, no error handling, no feedback loops. The steps describe what a human analyst would think about, not what Claude should execute. | 2 / 5 |
Progressive Disclosure | Monolithic wall of text with no references to external files despite the massive length. All content is inlined in a single file — risk assessment criteria, disease classifications, nutritional analysis, medication interactions, statistical methods, quality assurance, future plans — everything that should be split into separate reference documents is dumped into one file with no bundle files to support it. | 1 / 5 |
Total | 5 / 20 Passed |