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.
The body is rich in genuine domain data (schemas, thresholds, RDA values, worked examples) but is buried in an 800-line monolith padded with roadmaps, disclaimers, and pseudocode of trivial algorithms, with all executable detail left unimplemented and referenced data files missing from the bundle. The core content would be strong if split into reference files and stripped to actionable instructions with an error-handling path.
Suggestions
Move the RDA tables, full food JSON schema, and category tree into reference files (e.g. references/rda.md, references/data-schema.md) and actually include the cited data files (data/food-database.json, data/food-categories.json) in the bundle so references resolve.
Delete non-instructional padding: 扩展计划 (roadmap), 质量保证, and the generic 注意事项 disclaimers add tokens without guiding execution.
Replace pseudocode with one executable script (or concrete, copy-paste query instructions) and add an explicit error-handling flow for unmatched foods (fuzzy-match failure → ask user / suggest closest matches).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The ~780-line body carries substantial padding Claude does not need — an 扩展计划 product roadmap, 质量保证 assurances, generic disclaimers, full mock output transcripts — and explains concepts Claude already knows (Levenshtein fuzzy matching, proportional scaling written as "(value_per_100g * portion_grams) / 100"). It stays above anchor 1 because the data schema, nutrient thresholds, and RDA values are genuine domain knowledge. | 2 / 5 |
Actionability | Concrete artifacts exist (complete food JSON schema, threshold definitions like 高蛋白 ≥15g/100g, example commands such as "/nutrition food 三文鱼"), but all logic is pseudocode with unbound names (database, extract_food_name, normalize_food_name) and the cited data files (data/food-database.json, data/food-categories.json) are absent from the bundle, so nothing is end-to-end executable — matching the anchor-3 pseudocode profile rather than anchor 4's executable guidance. | 3 / 5 |
Workflow Clarity | Sequences are listed (查询流程 steps 1–4; 记录早餐 steps 1–5) but validation checkpoints and error-recovery flows are missing — e.g. no guidance on what to do when find_food returns None or when a portion cannot be parsed. Anchor 3 ("steps listed but validation gaps; checkpoints missing or implicit") fits; anchor 4 is unwarranted since checkpoints are absent entirely, not merely minor. | 3 / 5 |
Progressive Disclosure | The body is well-sectioned but is a ~780-line monolith inlining content that clearly belongs in reference files (full RDA tables, the complete food data structure, the category tree), and its references (data/food-database.json, data/food-categories.json, .claude/commands/nutrition.md) point to files that do not exist in the bundle. Structure is good, keeping it above anchor 2's "minimal structure", but heavy inlining plus dangling references hold it to anchor 3. | 3 / 5 |
Total | 11 / 20 Passed |