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 managing-amazon-kinesis-data-streamsgit 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/managing-amazon-kinesis-data-streams)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/managing-amazon-kinesis-data-streams"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/managing-amazon-kinesis-data-streams/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/managing-amazon-kinesis-data-streams"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/managing-amazon-kinesis-data-streams.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
- Socket pass
- Snyk 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 | $0.00210 | $0.01011 |
| Opus 5.5 | $0.00084 | $0.00404 |
| Sonnet 5.5 | $0.00042 | $0.00202 |
| Haiku 4.5 | $0.00021 | $0.00101 |
Grade A, and why
managing-amazon-kinesis-data-streams 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 1mo 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon Kinesis Data Streams
Overview
Domain expertise for Amazon Kinesis Data Streams. This skill covers streaming tables and Amazon S3 delivery, which provide serverless, fully managed delivery from a KDS stream directly to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets — no consumers, no Firehose, no Flink required for append-only delivery.
Delivery is configured as a channel on a stream via CreateChannel. Channels consume no shard capacity and no enhanced fan-out slots, so they do not compete with existing consumers.
The AWS MCP server is recommended for executing AWS operations. When the MCP server is not available, use the AWS CLI or shell commands instead.
Which Workflow Do You Need?
| Customer Intent | Reference |
|---|---|
| Deliver stream data to Apache Iceberg tables on S3 Tables — setup, IAM, Glue schema, type mapping, partitioning, channel lifecycle | references/streaming-tables.md |
| Deliver stream data to a general-purpose S3 bucket as objects — setup, IAM, compression, storage class, output key templates, channel lifecycle | references/general-purpose-delivery-to-s3.md |
| Build a lakehouse / data lake from Kinesis; make streaming data queryable in Athena | references/streaming-tables.md |
| Zero-ops, serverless alternative to Firehose or Kinesis consumers for KDS → S3 delivery | references/general-purpose-delivery-to-s3.md |
| CloudWatch metrics and alarms, delivery logging, CloudTrail, encryption, channel states, quotas, naming rules, what can be updated | references/monitoring-security-and-limits.md |
| Channel is ACTIVE but no data arrives; records landing in the DLQ; rising data freshness | Start with references/monitoring-security-and-limits.md, then the destination-specific troubleshooting table |
| Deliver to both S3 and S3 Tables from one stream | Supported — create one channel per destination |
What ships with it
3 files 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.
- 1mo ago First seen · 64 lines · 210 tokens per session scan A bf78ce36c887
managing-amazon-kinesis-data-streams is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,886 stars, last pushed yesterday), licensed Apache-2.0. It adds 210 tokens to every session and 1,011 once invoked, about $0.0008 per session on Opus 5.5. 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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