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 amazon-sesgit 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/amazon-ses)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/amazon-ses"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/amazon-ses/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/amazon-ses"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/amazon-ses.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 | $0.00079 | $0.03713 |
| Opus 5 | $0.00039 | $0.01857 |
| Sonnet 5 | $0.00016 | $0.00743 |
| Haiku 4.5 | $0.00008 | $0.00371 |
Grade A, and why
amazon-ses 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 yesterday.
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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Amazon SES
Overview
Recommended: Use the AWS MCP Server with SES permissions for sandboxed execution and CloudTrail audit logging. Without MCP: All operations use standard AWS CLI syntax (
aws sesv2 ...).
Takes a developer who is not an email authentication expert from an empty AWS account to a real, authenticated email in their inbox, and on to production sending if AWS approves the request.
Read the account and identity state before touching anything, and complete only the parts of domain setup that are actually missing. Request production access only after domain setup is complete and the user has given explicit consent. A test send is optional: run it when the user asks for one, to a recipient the account's current state permits.
Routing
| If the user wants to... | Read |
|---|---|
Get started with SES, set up email sending, send a first or test email, move out of the sandbox, or diagnose MessageRejected: Email address is not verified |
SES onboarding: zero to first delivered email |
| Set up a domain for sending, configure email authentication, or troubleshoot DKIM | Setting up SES domain identity |
Guardrail — where this skill's own files live (MCP vs local install)
This skill can be loaded two ways, and they resolve its own bundled files from different places. Determine how the skill was loaded before reading a reference:
- Loaded through the AWS MCP
retrieve_skilltool: the skill is not on the local filesystem. You MUST fetch each reference viaretrieve_skillwith thefileparameter (e.g.file="references/onboarding.md"). Do NOTfile_readthese paths locally — they do not exist on disk. - Installed locally (e.g.
~/.kiro/skills/amazon-ses/,.kiro/skills/amazon-ses/, or~/.claude/skills/amazon-ses/): read files from the local skill directory using the relative paths above.
What ships with it
2 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.
- yesterday Changed · +162 lines · -33 tokens per session cc650473a4e9
- 6d ago First seen · 46 lines · 112 tokens per session scan A d468d98cb660
amazon-ses 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 79 tokens to every session and 3,713 once invoked, about $0.0004 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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