Content
42%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 but bloated monolith: the genuinely valuable skill-specific material (ABCDE scoring algorithm, weighted composite score, warning levels, scenario flows) is buried in ~700 lines of dermatology reference knowledge Claude already knows and non-instructional padding sections. No progressive disclosure is used despite the volume of reference-type content.
Suggestions
Cut the textbook knowledge sections (vitamin effects, drug reactions, disease-skin lists, ingredient knowledge) — Claude already knows this; keep only skill-specific scoring algorithms, thresholds, and output formats.
Delete non-instructional sections (未来扩展, 研究方向, 质量保证's 持续改进, generic 局限性 bullets) that direct no action.
Move clinical reference material (drug-skin interactions, disease associations, guideline citations) into reference files (e.g. references/drug-reactions.md) linked from a concise SKILL.md overview, and embed data-validation checkpoints directly into the scenario workflows instead of a separate QA section.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~700-line body extensively enumerates textbook knowledge Claude already knows (vitamin effects on skin, drug-reaction types, disease-skin manifestations, generic prevention advice like SPF 30+ and 7-9 hours of sleep), plus non-instructional padding sections (局限性, 未来扩展, 研究方向, 质量保证/持续改进). This is noticeably verbose with several unnecessary sections — above the "heavily padded, no skill-specific value" of score 1 only because a minority of content (ABCDE algorithm, composite score, scenarios) is skill-specific, but far below score 3's "mostly efficient". | 2 / 5 |
Actionability | Some genuinely concrete guidance exists: the ABCDE algorithm specifies 0-2 points per feature with a ≥4 referral threshold, the composite health score defines exact weights (30/25/20/15/10) and bands, warning levels carry timeframes (1 week), and six scenarios give numbered 6-step flows. But key execution details are missing — no data access method, no formats or thresholds behind steps like "分析血糖控制情况". This matches "some concrete guidance but incomplete / missing key details" rather than score 4, and exceeds score 2 because specific steps are given, not just high-level hints. | 3 / 5 |
Workflow Clarity | The six scenarios provide clear, complete numbered sequences (e.g. retrieve 6 months of records → analyze → compute score → identify trends → generate report), but validation exists only as a separate 质量保证 section (data completeness, outlier detection) and is never embedded as a checkpoint within any workflow. This fits "steps listed but validation gaps; checkpoints missing or implicit" — the sequence quality exceeds score 2, but the disconnected validation keeps it below score 4. | 3 / 5 |
Progressive Disclosure | The body has a clear, well-organized section hierarchy, so it is above score 2's "minimal structure". However, it is a single ~700-line monolith with hundreds of lines of clinical reference material (drug reactions, disease-skin associations, clinical guidelines, ingredient lists) inlined that clearly belongs in separate reference files — no bundle files exist and no external references are signaled. This matches "some structure but content that should be separate is inline"; score 4 would require the bulk of that material to live in well-signaled separate files. | 3 / 5 |
Total | 11 / 20 Passed |