Individual skill

managing-data-asset-access

Grants, requests, audits and removes access to data assets in an AWS data catalog (the Amazon SageMaker Catalog supported by Amazon DataZone) through catalog subscriptions over published listings. Covers requesting a subscription, approving or rejecting requests with a recorded decision, sharing a listing with a project, revoking one or many subscriptions, and confirming grant settlement. Triggers on: give another team access to a table, request access to a dataset, approve or reject an access request, share a listing with a project, who has access to this table, revoke access, bulk revoke, is the access actually gone, subscription grant status. Not for: IAM roles, policies or STS (use aws-iam), S3 bucket policies (use securing-s3-buckets), Clean Rooms permissions (use aws-cleanrooms), or writing catalog metadata, glossaries and forms, publishing listings, or retiring or deleting an asset that other teams are subscribed to and the order of operations that needs (use managing-data-catalog)

plugins/aws-data-analytics/skills/managing-data-asset-access/SKILL.md

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Apache-2.0

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# Manage Data Asset Access

Access to a catalog data asset is a **subscription over a published listing**.
Request it, decide on it, share it, audit it, remove it. And prove each of
those actually took effect.

## Overview

You SHOULD execute commands through AWS MCP server tools when connected: they
give validation, sandboxed execution and audit logging, which matter more than
usual in a skill whose failures are security misstatements. Fall back to the AWS
CLI when the MCP server is unavailable; every step here is expressed as CLI
calls, so it runs either way. You MUST explain each grant or revoke before
executing it, and you MUST report what you verified afterwards.