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ontology-core

操作 知识网络(BKN)— 构建知识网络、查询 Schema/实例、语义搜索、执行 Action。 操作数据源与数据视图 — 数据源连接与查询、原子/自定义视图浏览与 SQL 查询。 操作 Vega 可观测平台 — 查询 Catalog/资源/连接器类型、健康巡检。 当用户提到"知识网络"、"知识图谱"、"查询对象类"、"执行 Action"、 "数据源"、"数据视图"、"原子视图"、"Catalog"、"Vega"、 "健康检查"、"巡检"等意图时自动使用。

69

Quality

86%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

72%

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

A dense, actionable CLI skill body with strong progressive disclosure and executable examples. Its main weaknesses are minor redundancy in deployment constraints and multi-step workflows that are referenced rather than sequenced inline with validation checkpoints.

Suggestions

Deduplicate the deployment constraints (unavailable command groups, AUTH_ENABLED=false, default bd_public) into a single '环境约束' section instead of repeating them across 命令组总览, 调用约定, and 注意事项.

Add an inline sequenced mini-workflow with validation checkpoints for the build-KN-from-DB scenario in the body, rather than only linking out, so the core multi-step path is self-contained.

Tighten the repeated --user-id and business-domain guidance into one callout; the requirement is restated in 调用约定, 业务域优先级, and 注意事项.

DimensionReasoningScore

Conciseness

Mostly efficient and free of generic concept explanations, but deployment constraints (unavailable command groups, no-auth, business domain default) are stated redundantly across '命令组总览', '调用约定', and '注意事项', and could be tightened.

2 / 3

Actionability

Provides copy-paste-ready, executable commands — 'ontology bkn list', the jq projection 'jq ".entries[] | {id, name, comment, primary_keys, display_key}"', and concrete flag usage like '--user-id <accountId>' — fully actionable guidance.

3 / 3

Workflow Clarity

Pre-flight pitfall checks and the 'jq keys/type first' feedback loop give some sequence and validation, but the main multi-step workflow (build KN from DB) is delegated to a reference without an inline sequenced/checkpointed flow.

2 / 3

Progressive Disclosure

Clear overview body with a command-group table and operations guide that signal one-level-deep references to real files (references/bkn.md, ds.md, dataview.md, vega.md, call.md, build-kn-from-db.md), plus an explicit '按需阅读' navigation cue.

3 / 3

Total

10

/

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 strong, third-person description that states concrete capabilities across three domains and gives explicit trigger guidance. It is specific, distinctive, and clearly signals when to use the skill.

DimensionReasoningScore

Specificity

Lists multiple concrete actions per domain — '构建知识网络、查询 Schema/实例、语义搜索、执行 Action', '数据源连接与查询、原子/自定义视图浏览与 SQL 查询', '查询 Catalog/资源/连接器类型、健康巡检' — matching the anchor for listing multiple specific concrete actions.

3 / 3

Completeness

Explicitly answers both 'what' (three operation domains with concrete actions) and 'when' via the explicit trigger clause '当用户提到...等意图时自动使用'.

3 / 3

Trigger Term Quality

Provides good coverage of natural terms a platform user would say — '知识网络', '知识图谱', '查询对象类', '数据源', '数据视图', '健康检查', '巡检' — including natural variations (知识网络/知识图谱).

3 / 3

Distinctiveness Conflict Risk

Clear niche (ontology/BKN/Vega platform operations) with distinct, domain-specific triggers unlikely to fire for unrelated skills.

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

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository
UnicomAI/wanwu
Reviewed

Table of Contents

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