Content
36%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 skill body is a well-headed but monolithic 600-line encyclopedia: it documents eight features with useful specifics (data paths, formulas, safety thresholds, example outputs) yet buries them under generic domain knowledge, pseudocode, and no end-to-end workflow with validation. It would benefit substantially from splitting into reference files and cutting to what Claude does not already know.
Suggestions
Split the monolith into progressive-disclosure files: keep a short overview + data-reading workflow in SKILL.md and move the ECharts report templates, achievement catalog, and per-feature output schemas into references/ (e.g. references/report-templates.md, references/achievements.md).
Define a numbered end-to-end workflow (read data files → validate schema/missing fields → compute metrics → check safety red flags → generate report) with an explicit validation checkpoint and error-recovery step, per the medical-safety emphasis.
Cut domain knowledge Claude already knows (SMART criteria explanations, habit-formation stage theory, motivation-dip timelines) down to the skill-specific thresholds and scoring rubrics, and replace the pseudocode SMART validator with either executable code in scripts/ or concise rule statements.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The 607-line body pads extensively with domain knowledge Claude already has: a full SMART-criteria walkthrough, habit-formation stage day-ranges (第1-7天启动期…第67天+), motivation-dip timelines, a 16-item achievement badge catalog, and generic ECharts chart configs. These are reference-encyclopedia sections rather than instructions Claude needs, matching 'noticeably verbose; several unnecessary explanations or padded sections' rather than the severely tutorial-style anchor for 1. | 2 / 5 |
Actionability | There is real concrete material — data file paths (data-example/health-goals-tracker.json, health-goals-logs/YYYY-MM/YYYY-MM-DD.json), computation formulas, an example output report, and safety thresholds — but key pieces are incomplete: the SMART validation 'algorithm' is pseudocode calling undefined functions (check_specificity, get_grade), and the ECharts configs contain '…' ellipses rather than complete executable code. This lands on 'some concrete guidance but incomplete; pseudocode instead of executable code'. | 3 / 5 |
Workflow Clarity | The body is a catalog of eight features, not a sequenced process; the only implied order (read data → compute metrics → generate report) sits in a brief '技术实现要点' section with no numbered steps, no validation checkpoints (e.g. verifying the goal data file exists or schema), and no error-recovery guidance. This matches 'rough sequence present but many gaps; steps poorly defined; validation absent' — it is above the incoherent anchor for 1 only because the data-read/report sections imply an order. | 2 / 5 |
Progressive Disclosure | No bundle files (references/, scripts/, assets/) exist at all, and everything — report templates, ECharts configs, achievement catalogs, safety thresholds — is inlined in one 607-line SKILL.md. Heading structure is clear (numbered features, consistent subsections), which lifts it above the 'minimal structure' anchor for 2, but content that clearly belongs in separate reference files is fully inline, matching anchor 3. | 3 / 5 |
Total | 10 / 20 Passed |