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smart-search-tables

找表/找数端到端编排:在元数据型知识网络下用 ontology bkn object-type query 检索表/视图实例, 再在职责型知识网络下检索相关部门职责与治理边界,最后汇总为中文结论 (候选表 + 职责要点 + 下一步)。当用户问「表在哪、哪个视图、数据资产归属、谁负责这类数据」时使用。 所有 ontology CLI 执行均委托 ontology-core 完成;本 skill 不直接执行 CLI。

73

Quality

92%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A strongly structured, actionable orchestration skill with a clear sequenced workflow and well-signaled one-level-deep references. The main weakness is repetitive delegation boilerplate across the body and reference files that inflates tokens without adding information.

Suggestions

State the 「委托 ontology-core 执行、本 skill 不直接执行 CLI」 delegation rule once in the 调用方式 section and drop the repeated 'Never/委托' restatements from 子技能依赖, 委托命令形态, 配置, and each reference file header.

Collapse the duplicate call-chain diagram and the step→subcommand table (步骤 1/2 already appear in both 主流程 and 委托给 ontology-core 的命令形态) into a single source of truth.

Move the condition-json field-name/isomorphism detail fully into metadata-search.md and keep only the pointer in SKILL.md, since the reference already owns that spec.

DimensionReasoningScore

Conciseness

Mostly efficient with useful tables and checklists, but the 「Never 由本 skill 直接执行 CLI / 委托 ontology-core」 delegation note is repeated in nearly every section and again in each reference, which is padding Claude already retains after the first statement.

2 / 3

Actionability

Provides concrete, copy-pasteable command forms (ontology --user-id <accountId> bkn object-type query <kn_id> <ot-id> '<condition-json>' [--limit n]), a step→subcommand table, and field-level guidance (technical_name/business_name, condition-json shape).

3 / 3

Workflow Clarity

Clear fixed sequence (步骤 1→2→3) with a checkbox checklist (复制进度), explicit ordering constraint (step 2 derives from step 1), and error-recovery branches (empty results → relax search/switch KN; no duty_kn_id → skip step 2 and note it).

3 / 3

Progressive Disclosure

SKILL.md is an overview with a 必读 references table pointing one level deep to real files (metadata-search.md, duty-search.md, tool-examples.md), each clearly scoped to a step; no nested reference chains.

3 / 3

Total

11

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A well-crafted, third-person description that states concrete capabilities, gives natural Chinese trigger phrasing, and covers both what and when. Slightly jargon-heavy (ontology bkn object-type query) but the user-facing trigger clause keeps it grounded.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 「检索表/视图实例」「检索相关部门职责与治理边界」「汇总为中文结论」 — and names the specific subcommand form (ontology bkn object-type query), rather than vague language.

3 / 3

Completeness

Answers both what (find tables/views → retrieve duties → summarize) and when, via an explicit 「当用户问…时使用」 trigger clause equivalent to 'Use when…'.

3 / 3

Trigger Term Quality

「当用户问『表在哪、哪个视图、数据资产归属、谁负责这类数据』时使用」 gives natural phrasing a user would actually say, covering the common variants for this domain.

3 / 3

Distinctiveness Conflict Risk

Targets a clear niche (locating tables/data-asset ownership) with distinct triggers, unlikely to fire for the sibling metrics/SQL skill (smart-ask-data).

3 / 3

Total

12

/

12

Passed

Validation

87%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

relative_links

Relative link issues: 1 missing, 7 suspicious

Warning

Total

14

/

16

Passed

Repository
UnicomAI/wanwu
Reviewed

Table of Contents

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