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managing-data-catalog

Writes and curates business metadata in an AWS data catalog: the Amazon SageMaker Catalog (Amazon DataZone), or the AWS Glue Data Catalog. Detects which catalog platform an account uses before writing. Triggers on: add a description to a table, document a dataset, write a README, set an owner, add column comments, tag with a glossary term, create a business glossary, create a metadata form, publish an asset, create a data product, run the data source crawl, delete a catalog asset, attach a conventions document to a table as a catalog skill asset, which assets in my project are missing descriptions or owners and what to fix first, which catalog does this account use and what can I do with it. Not for: inventorying or listing tables (use exploring-data-catalog), locating one table (use finding-data-lake-assets), counting gaps domain-wide with SQL over the exported metadata snapshot (use querying-aws-sagemaker-catalog), or granting or revoking access (use managing-data-asset-access)

Quality

91%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

SKILL.md
Quality
Evals
Security
Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

The skill instructs the agent to read existing catalog content (descriptions, READMEs, form values, and skill assets) which may contain outsider-authored text, but explicitly marks it as untrusted data.

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Repository

aws/agent-toolkit-for-aws

Path

plugins/aws-data-analytics/skills/managing-data-catalog/SKILL.md

Audited
Security analysis
Snyk

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