Agent Toolkit for AWS is a collection of AWS-supported MCP servers, skills, plugins, commands, and hooks that help AI coding agents build, deploy, and manage applications on AWS. It is used by developers working with AWS services through agents such as Claude Code, Codex, Cursor, and Kiro. The catalogue entries are the toolkit's own agent extensions for AWS development and operations.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add aws/agent-toolkit-for-aws --skill querying-aws-sagemaker-cataloggit clone --depth 1 https://github.com/aws/agent-toolkit-for-awsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/aws/agent-toolkit-for-aws/querying-aws-sagemaker-catalog)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/querying-aws-sagemaker-catalog"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/querying-aws-sagemaker-catalog/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/querying-aws-sagemaker-catalog"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/querying-aws-sagemaker-catalog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00108 | $0.02444 |
| Opus 5 | $0.00054 | $0.01222 |
| Sonnet 5 | $0.00022 | $0.00489 |
| Haiku 4.5 | $0.00011 | $0.00244 |
Grade A, and why
querying-aws-sagemaker-catalog scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Query AWS SageMaker Catalog System Tables
Overview
Works best with the AWS MCP server for sandboxed execution and audit logging. All commands below use the AWS CLI and work in any environment with configured AWS credentials.
Amazon SageMaker Unified Studio (whose catalog feature is referred to below as SageMaker Catalog) exports asset metadata as a daily-snapshot
Apache Iceberg table in the AWS-managed aws-sagemaker-catalog table bucket. This
enables SQL queries over your entire data catalog inventory — asset counts, governance
gaps, ownership audits, and historical comparisons — without building custom ETL.
Data is partitioned by snapshot_time and exported once daily (around midnight per
region). The table is read-only.
Decision Tree
| User intent | Use this skill? | Alternative |
|---|---|---|
| SQL analytics on catalog state (counts, governance, trends) | Yes | — |
| Historical comparison ("what changed in catalog last week") | Yes — time travel via snapshot_time |
— |
| Find assets without owners or descriptions | Yes | — |
| Find a specific table by name or concept | No | finding-data-lake-assets or Glue Discovery search |
| Browse/enumerate catalog interactively | No | exploring-data-catalog |
| Run a query on a table's data | No | querying-data-lake |
| Manage catalog metadata (add descriptions, tags) | No | Glue Discovery put-form-type / associate-glossary-terms |
Common Tasks
1. Check If Configured
aws datazone get-data-export-configuration \
--domain-identifier <DOMAIN_ID> \
--region <REGION>
- If no domain exists:
aws datazone list-domains --region <REGION> - If export not enabled: guide user to enable.
- One domain per account per region.
Verify table bucket exists:
aws s3tables list-table-buckets --region <REGION> \
--query "tableBuckets[?name=='aws-sagemaker-catalog']"
2. Enable
With KMS encryption (recommended for production):
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 241 lines · 108 tokens per session scan A 3ae8db98095f
querying-aws-sagemaker-catalog is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,569 stars, last pushed yesterday), licensed Apache-2.0. It adds 108 tokens to every session and 2,444 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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