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databricks-unity-catalog

Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volume file operations (upload, download, list files in /Volumes/).

72

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

80%

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

The skill body is concise and highly actionable with concrete tool signatures and executable SQL. It is weaker on workflow clarity (no validation feedback loops for permission changes) and progressive disclosure (referenced files are missing from the bundle).

Suggestions

Add a verification step after the system-tables GRANT statements (e.g., confirm access by running a test query) to establish a validation feedback loop.

Provide the referenced files (5-system-tables.md, 6-volumes.md, 7-data-profiling.md) in a references/ directory, or remove the Reference Files table if the detail is intentionally inline.

DimensionReasoningScore

Conciseness

The body is lean with tables and executable SQL/code that each earn their place; it assumes Claude's competence and does not explain concepts Claude already knows.

3 / 3

Actionability

Provides fully executable MCP tool calls with concrete arguments, copy-paste SQL queries, and an MCP integration code snippet with real parameters.

3 / 3

Workflow Clarity

Content is organized by topic but there is no multi-step workflow with explicit validation checkpoints; the system-tables/grants section involves sensitive permission changes without a verify step, so per the rubric it is capped at 2.

2 / 3

Progressive Disclosure

A well-signaled Reference Files table points one level deep to 5-system-tables.md, 6-volumes.md, and 7-data-profiling.md, but those referenced files do not exist in a references/ bundle, so the structure is incomplete.

2 / 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.

The description is specific, complete, and well-triggered with concrete capabilities and an explicit 'Use when' clause. It is concise without fluff and clearly scoped to a distinct niche.

DimensionReasoningScore

Specificity

Lists multiple concrete actions such as 'querying system tables (audit, lineage, billing)' and 'volume file operations (upload, download, list files in /Volumes/)', matching the multiple-specific-actions anchor.

3 / 3

Completeness

Explicitly answers both what ('Unity Catalog system tables and volumes') and when ('Use when querying system tables ... or working with volume file operations') with an explicit trigger clause.

3 / 3

Trigger Term Quality

Includes natural terms users would say (audit, lineage, billing, volume, upload, download, list files), giving good coverage of common variations rather than only jargon.

3 / 3

Distinctiveness Conflict Risk

The Databricks Unity Catalog niche has distinct triggers (system tables, /Volumes/ paths) making it unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

relative_links

Relative link issues: 3 missing, 4 suspicious

Warning

Total

15

/

16

Passed

Repository
databricks-solutions/ai-dev-kit
Reviewed

Table of Contents

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