Content
71%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 content is operationally strong: concrete scoring thresholds, a defined step sequence with validation and error handling, and a complete report template. Its main weaknesses are the undefined 倒班/劳损/压力 risk scores referenced by the composite formula, missing award criteria for ergonomic sub-scores, and a monolithic single-file structure with no progressive disclosure despite its length.
Suggestions
Define the 倒班风险, 劳损风险, and 压力风险 scoring rubrics that the composite formula "综合风险分数 = max(...)" depends on, or state explicitly how they are computed.
Add award criteria for each ergonomic sub-score (e.g., what earns 椅子可调节性 5 points vs 0 points) instead of bare 0–5 point ranges.
Move the detailed per-work-type screening tables and the full report template into a references/ file, keeping SKILL.md as a concise overview with clearly signaled one-level-deep links.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dominated by operational scoring rules Claude does not already know (explicit point thresholds, risk cutoffs, output templates) with no teaching of basic concepts, so it mostly earns its tokens. Minor trimming is possible: the 8-item "主要功能模块" overview duplicates the later execution steps, and the ~80-line report template is long, placing it at 4 rather than 5. | 4 / 5 |
Actionability | Guidance is highly concrete — exact point mappings (e.g. 久坐时间 ">8小时:10分"), named data fields (sedentary_time_daily), a full output template, and error messages. Minor gaps remain: the composite formula "综合风险分数 = max(久坐风险, 视屏风险, 倒班风险, 劳损风险, 压力风险)" references shift/strain/stress risk scores that are never defined, and ergonomic sub-scores (e.g. "可调节性(0-5分)") give point ranges without criteria for awarding points — hence 4 rather than 5. | 4 / 5 |
Workflow Clarity | Six clearly sequenced steps (数据读取 → 风险评估 → 人机工程评估 → 筛查 → 关联分析 → 报告) with data validation checkpoints in step 1 (检查文件是否存在, 验证数据结构完整性) and a dedicated error-handling section covering missing files, insufficient data, and high-risk alerts. This is not a destructive or batch operation, so no cap applies; it falls just short of 5 because there is no explicit recovery loop (what to do after validation fails mid-analysis). | 4 / 5 |
Progressive Disclosure | Sections are well-organized with headers, but the ~380-line body inlines everything — full risk-scoring rubrics, screening recommendation tables per work type, and the complete report template — with no reference files at all. The detailed scoring rubrics and report template clearly could be split into separate reference files, matching the 3 anchor (content that should be separate is inline) rather than 4 (most content appropriately placed in a bundle). | 3 / 5 |
Total | 15 / 20 Passed |