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 upgrading-mwaa-environmentsgit 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/upgrading-mwaa-environments)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/upgrading-mwaa-environments"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/upgrading-mwaa-environments/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/upgrading-mwaa-environments"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/upgrading-mwaa-environments.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00254 | $0.06990 |
| Opus 5.5 | $0.00102 | $0.02796 |
| Sonnet 5.5 | $0.00051 | $0.01398 |
| Haiku 4.5 | $0.00025 | $0.00699 |
Grade A, and why
upgrading-mwaa-environments 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 22d 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 — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Upgrading MWAA Environments
AWS MCP server (optional but recommended): running the AWS CLI commands in this skill through the AWS MCP server gives sandboxed execution and audit logging. Every command here also works with the plain AWS CLI, so the skill does not require the MCP server or any MCP-only tools.
Upgrade an MWAA provisioned environment to any newer, MWAA-supported Airflow
version: within 2.x, within 3.x, or across the 2.x-to-3.x boundary. The target
is a parameter. A path planner computes an ordered version-jump list from
(source, target); the latest 2.11.x stepping-stone version and a Python-line
transition step are inserted only when the path requires them. A deployment
approach is selected by whether historical run data must be preserved and
whether the same environment (its URL/ARN) must be kept: a new-environment upgrade
(new-environment), a rehearsed in-place upgrade validated on a test copy
first (in-place-rehearsed), or a direct in-place upgrade (in-place-direct).
Execution note — poll in discrete steps: whenever you wait for an AWS operation to reach a terminal or ready state, issue one status check per call and decide in your own loop whether to check again. Never block a single command or script on the wait (no
while+sleepuntil done), regardless of the operation or how long it takes.
Guardrail — where this skill's own files live (MCP vs local install)
This skill can be loaded two ways, and they resolve the skill's 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 installed on the local filesystem. You MUST fetch each reference viaretrieve_skillwith thefileparameter (e.g.file="references/strategy-blue-green-fresh.md") and read the returned content. Do NOTfile_readthese paths locally — they do not exist on disk. - Installed locally (e.g.
.kiro/skills/upgrading-mwaa-environments/or~/.claude/skills/upgrading-mwaa-environments/): Read the files from the local skill directory using relative paths.
What ships with it
9 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.
- references/airflow2-to-3-checklist.md 9.5 KB
- references/airflow2-to-3-quick-reference.md 4.0 KB
- references/discovery-preflight.md 6.5 KB
- references/mwaa-version-matrix.md 6.4 KB
- references/plan-materialization.md 15 KB
- references/strategy-blue-green-fresh.md 12 KB
- references/strategy-inplace-direct.md 4.0 KB
- references/strategy-inplace-green-validated.md 10 KB
- references/upgrade-engine.md 9.7 KB
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.
- 22d ago First seen · 486 lines · 254 tokens per session scan A 117d1ea83a3b
upgrading-mwaa-environments is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,927 stars, last pushed today), licensed Apache-2.0. It adds 254 tokens to every session and 6,990 once invoked, about $0.0010 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 2026-09-30.
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