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 agentmods add skills/aws/agent-toolkit-for-aws/exploring-data-catalognpx skills add aws/agent-toolkit-for-aws --skill exploring-data-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/exploring-data-catalog)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/exploring-data-catalog"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/exploring-data-catalog.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00099 | $0.02540 |
| Opus 5 | $0.00049 | $0.01270 |
| Sonnet 5 | $0.00020 | $0.00508 |
| Haiku 4.5 | $0.00010 | $0.00254 |
Grade A, and why
exploring-data-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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- exploring-data-catalog — 88% identical, 56 lines differ
How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Structured inventory and cataloging across your AWS data landscape: Glue Data Catalog with S3 Tables, Redshift-federated, and remote Iceberg catalogs.
Overview
Maps data in an AWS account. Starts with catalog landscape (Glue, S3 Tables, federated), then drills into databases and tables. Read-only — no query execution.
Constraints for parameter acquisition:
- You MUST ask for the target AWS region upfront if not provided
- You MUST support a single optional argument: search term, catalog name, database name, S3 path, or table name
- You MUST accept the argument as direct input or a pointer to a file containing the spec
- You MUST confirm the scope (full landscape vs. targeted deep dive) before making API calls
- You MUST respect the user's decision to abort at any step
Common Tasks
Pagination: All list and search calls in this workflow may return paginated results. You MUST pass --next-token from the previous response until no more tokens are returned. You MUST NOT assume a single page contains all results.
1. Verify Dependencies
Check for required tools and AWS access before discovery.
Constraints:
- You MUST verify AWS MCP server tools are available (
aws___call_aws,aws___search_documentation) and fall back to AWS CLI if not - You MUST confirm credentials are valid:
aws sts get-caller-identity - You MUST inform the user about any missing tools and ask whether to proceed
2. Consult Catalog Context (experimental — suggested first lookup)
Customers may publish context assets that describe the data landscape (canonical names, domains, ownership) faster than a full enumeration.
These are the Glue Discovery operations (SearchAssets / GetAsset /
ListIterableForms / BatchGetIterableForms) — a distinct metadata-search surface,
NOT the legacy glue search-tables. They are experimental — not available in every
CLI build. Gate the
lookup on two checks first:
- Availability. Confirm the
GetAssetoperation exists in the caller's Glue CLI model (redirect output so the CLI pager cannot block a non-interactive agent):
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 192 lines · 99 tokens per session scan A 0632d31d7e4b
exploring-data-catalog is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,539 stars, last pushed yesterday), licensed Apache-2.0. It adds 99 tokens to every session and 2,540 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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