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exploring-data-catalog

Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for finding specific data (use finding-data-lake-assets), running queries (use querying-data-lake), or creating tables (use creating-data-lake-table).

76

Quality

94%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security

Quality

Content

88%Weight 40%Scale 1-5

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

The content is highly actionable with executable commands, a well-sequenced validated workflow, and appropriate offloading of the analysis checklist to a single reference. Minor conciseness and organization gaps in the experimental section prevent a perfect score.

Suggestions

Tighten the "Consult Catalog Context" prose (e.g. "Customers may publish context assets that describe the data landscape...") to leaner operational phrasing to lift conciseness toward the top anchor.

Consider moving the detailed experimental Glue Discovery operation table and *.Content parsing notes into a dedicated reference file, leaving SKILL.md with the availability gate and a pointer, to improve progressive_disclosure.

Add a one-line pagination-validation checkpoint in the "Capture Details and Analyze" step explicitly stating to stop only when --next-token returns empty, reinforcing the batch-list feedback loop.

DimensionReasoningScore

Conciseness

The body is dense with domain-specific operational detail Claude would not already know, but the experimental catalog-context section opens with prose ("Customers may publish context assets that describe the data landscape...") that could be trimmed, keeping it just below the lean top anchor.

4 / 5

Actionability

Copy-paste-ready CLI commands appear throughout (e.g. "aws glue get-catalogs --recursive --include-root", "aws sts get-caller-identity", the search-assets filter-clause example), with operation input/output tables covering the common cases.

5 / 5

Workflow Clarity

A clear 1-5 numbered sequence (Verify Dependencies, Consult Catalog Context, Discover Catalogs, Enumerate, Capture) with explicit validation checkpoints (STS identity check, get-asset help availability gate, user opt-in, pagination handling) and a troubleshooting table for error recovery.

5 / 5

Progressive Disclosure

SKILL.md is an overview with one well-signaled, one-level-deep reference (references/discovery-checklist.md, confirmed to exist) that absorbs the analysis framework; the large inline experimental catalog-context block is a minor organization gap keeping it just below the top anchor.

4 / 5

Total

18

/

20

Passed

Description

100%Weight 40%Scale 1-5

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, trigger-rich, and fully answers both what and when, with strong negative-boundary guidance that distinguishes it from related skills. All four dimensions land at the top anchor.

DimensionReasoningScore

Specificity

Names the domain and multiple concrete actions ("Full inventory and audit", "audit databases", "list all tables", "search the catalog") across three catalog types, giving comprehensive coverage rather than just 1-2 actions.

5 / 5

Completeness

Explicitly answers both what ("Full inventory and audit of AWS Glue Data Catalog assets...") and when (explicit "Triggers on:" clause with concrete trigger phrases), matching the top anchor.

5 / 5

Trigger Term Quality

"Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog" provides comprehensive natural-term coverage with multiple synonyms users would actually say.

5 / 5

Distinctiveness Conflict Risk

Clear niche (AWS Glue Data Catalog inventory) plus an explicit negative-boundary clause ("Do NOT use for...use finding-data-lake-assets / querying-data-lake / creating-data-lake-table") minimizes conflict with sibling skills.

5 / 5

Total

20

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
aws/agent-toolkit-for-aws
Reviewed

Table of Contents

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