Conciseness

The body is compact and assumes competence — a parameter table with types/defaults, return-type spec, and no explanations of concepts Claude already knows. Minor trimmable redundancy (the tagline "把 Excel 转成程序能直接消费的 JSON" restates 功能描述, and 所属分类/原始函数 are repo metadata) places it at anchor 4 ('efficient; minor instances that could be trimmed') rather than anchor 5.

Actionability

Fully executable guidance: "from skills.excel import excel2json" plus three runnable calls with expected outputs (e.g. "print(rows[0]) # {'商品名': '苹果', '价格': 5.5}"), a complete 6-parameter table with types and defaults, and documented return shapes for each orient. This matches anchor 5's copy-paste-ready, common-cases-covered standard; anchor 4 would require missing key details, which there are none.

Workflow Clarity

This is a simple single-task skill — call one function — and the single action is unambiguous: 调用方式 shows the exact call with arguments and 参数说明 enumerates every option. The operation is non-destructive (reads an Excel file, optionally writes a JSON file), so the destructive/batch validation cap does not apply and the simple-skill exception yields 5.

Progressive Disclosure

The body is ~55 lines with clear section headers and no bundle files exist (no references/, scripts/, or assets/ directories), so everything is appropriately inline — per the rubric's simple-skill note, well-organized sections with no need for external references warrant 5. The "原始函数 contributors/my12yyds/excel2json.py" line is provenance metadata, not a navigation reference.

Specificity

States several concrete behaviors — "把 Excel 工作表转换成 JSON", "支持 records、columns、values 三种结构", "日期自动转 ISO 字符串" — matching anchor 4's 'several specific actions; minor gaps in coverage' (null handling and duplicate-column dedup are only stated in the body). It exceeds anchor 3 (only 1-2 actions) but falls short of anchor 5's comprehensive coverage.

Completeness

Explicitly answers both parts: what ("把 Excel 工作表转换成 JSON，支持 records、columns、values 三种结构，日期自动转 ISO 字符串") and when ("当用户提到 Excel 转 JSON、表格转接口数据、Excel 生成 mock 数据时使用") with three concrete trigger phrases — a direct match to anchor 5's example structure, clearly above anchor 4 where the 'when' is less specific.

Trigger Term Quality

The trigger phrases "Excel 转 JSON", "表格转接口数据", and "Excel 生成 mock 数据" are natural phrasings a user would say, giving good keyword coverage per anchor 4. Not anchor 5 because file extensions (.xlsx/.xls) and common synonyms (e.g. 电子表格, 导出) are absent; not anchor 3 because multiple natural variations are present.

Distinctiveness Conflict Risk

Excel-to-JSON conversion is a clear niche with distinct triggers, but "Excel 生成 mock 数据" and "表格转接口数据" could overlap with sibling Excel or mock-data-generation skills — anchor 4's 'mostly distinct; minor overlap risk with closely related skills'. Not anchor 5 (some overlap risk exists), well above anchor 3's generic overlap.