Content
92%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-engineered operational skill: copy-paste-ready commands, a genuinely sequenced entity-resolution workflow with validation and error-recovery checkpoints, and disciplined progressive disclosure that keeps multi-KB protocol docs behind clearly-signaled one-level-deep references. The only weakness is minor redundancy in the domain mental-model exposition.
Suggestions
State the Base/Workspace/BaseApp ownership model once — fold the intro sentence "Workspace 是组织 Base 和 BaseApp 的外层容器；BaseApp（AppMode）通过 Page 和组件组织 Base 数据" into the 应用模式与 Workspace 心智模型 section, keeping the intro to a one-line resource-tree framing.
Drop the repeated 'core' framing of Table ("Table 是其中承载业务数据的核心 Block" vs "Table 本身是 Base Block，也是 Base 的核心数据存储层") — keep one, and cut the restatement that Field/Record/View/Form are not Base Blocks from both the intro and the Table section.
Move the generic jq/Python local-processing snippets under the Record 查询与分析 SOP reference, since they teach generic NDJSON handling rather than Base-specific behavior, keeping the body focused on command semantics.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is dense and operational throughout — command-first, no padding explaining concepts Claude already knows, with heavy protocols (formula, workflow schema, role config) correctly externalized to references. Minor trimming is possible: the Base/Workspace/App ownership model is explained twice ("Workspace 是组织 Base 和 BaseApp 的外层容器" in the intro and again in the 应用模式与 Workspace 心智模型 section), and the 'core' framing of Table is repeated between intro and the Table section. This fits anchor 4 ('efficient; minor instances of over-explanation that could be trimmed') rather than 5, where every token would earn its place with no repetition. | 4 / 5 |
Actionability | Guidance is fully executable: copy-paste-ready CLI commands with real flags (`+record-list --filter-json … --field-id … --format ndjson --output …`), a complete commented CellValue JSON shape covering all common field types, a tuple-condition filter example with date-boundary semantics, batch payload examples, and a Block-type-to-coordinate table. Specific examples cover the common cases, matching the top anchor. | 5 / 5 |
Workflow Clarity | Multi-step processes are explicitly sequenced with validation checkpoints: the intent-based entity-resolution entry flow with disambiguation fallback ("多个候选…仍无法唯一确定时请用户选择"), completeness verification ("只有 has_more=false 且查询范围符合问题时，才能当作完整结果"), async write/read-back protocol, read-before-write for share updates, `--yes` confirmation gates, `--keep-field` protection on the destructive `+form-questions-delete`, and error-recovery loops (permission failure → lark-shared scope fix; `1254291` conflict → serialize writes; partial batch failure → resubmit failed items per reference). This satisfies the anchor-5 requirement of explicit validation plus feedback loops, so the destructive/batch cap does not apply. | 5 / 5 |
Progressive Disclosure | SKILL.md is a lean overview whose 17 reference links all resolve to real files, each signaled with an explicit read-trigger ("所有 View 编辑前必读 [View 类型与生命周期]", "BaseApp、Workspace、Page 或组件任务开始前完整读取"). High-frequency content (CellValue shapes, filter conditions) is inlined while heavy protocols (55KB formula guide, 43KB workflow schema) stay one level deep in references, exactly matching the anchor-5 'clear overview with well-signaled one-level-deep references, content appropriately split'. Chained routing inside reference files (e.g., field-create → field-formula) is clearly signaled on-demand loading, not buried nesting. | 5 / 5 |
Total | 19 / 20 Passed |