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/aws-cleanrooms

@803cbf4

Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.

Use this Skill: https://skilld.dev/gh/aws/agent-toolkit-for-aws/aws-cleanrooms

This session only. Nothing lands on disk.

SKILL.md

≈84 tokens always: the name and description. ≈335 when used: this file. ≈3.9k more on demand in 2 files.

AWS Clean Rooms

Overview

Domain expertise for troubleshooting AWS Clean Rooms collaborations and custom ML modeling. Covers permission debugging, data access issues, and CloudWatch logging configuration.

Common tasks

Debugging Clean Rooms errors

Determine the failure type:

Access denied or permission error? → See permission debugging procedure. Covers IAM role policies (inline + attached managed), S3 bucket policies, KMS key policies, Lake Formation permissions, and cross-account trust.

Missing CloudWatch logs for custom model jobs? → See custom model logging debugging procedure. Covers Configured Model Algorithm Association privacy configuration, ML Configuration role permissions, and log group verification.

Additional resources

Source: SKILL.md on GitHub

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  • Gen Agent Trust Hub16d

    This skill provides a systematic diagnostic framework for troubleshooting AWS Clean Rooms permission and logging issues. It uses standard AWS command-line tools to inspect resource configurations, which is appropriate for its stated purpose.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

Signed by skilld at 803cbf4. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub yesterday.

Activeupdated 5 months ago
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