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 aws-well-architected-reviewgit 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/aws-well-architected-review)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/aws-well-architected-review"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/aws-well-architected-review/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/aws-well-architected-review"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/aws-well-architected-review.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 | $0.00177 | $0.02474 |
| Opus 5.5 | $0.00071 | $0.00990 |
| Sonnet 5.5 | $0.00035 | $0.00495 |
| Haiku 4.5 | $0.00018 | $0.00247 |
Grade A, and why
aws-well-architected-review 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 25d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Well-Architected Review
Overview
Guides a systematic AWS Well-Architected Framework (WA Framework) review: discover the workload from code and IaC, acquire the live corpus inventory, evaluate every framework question and best practice against evidence, and deliver a risk-ranked, Eisenhower-prioritized report inline.
Framework content is fetched from the live AWS documentation at review time rather than embedded as a snapshot. The AWS MCP server's documentation reader (aws___read_documentation) is recommended for reliable retrieval; when it is unavailable, fetch the same docs.aws.amazon.com pages over HTTPS with the environment's web-fetch tool, and if no documentation access exists at all, proceed from internal knowledge and disclose that the framework inventory could not be verified live. Do not depend on any non-public or internal best-practice/WA-guidance MCP; those are unavailable in supported runtimes.
Detailed procedures live in reference files — read each one when its step says to:
- Review modes — mode selection (full / quick / pillar-scoped / score), trigger phrases, score output format
- Discovery procedure — infrastructure and application architecture discovery
- Live corpus inventory — the gated
ACQUIRE_CORPUSstage: deterministic read-only traversal of the framework, the corpus records, and the validation gate - Evaluation procedure — evaluating every BP against the frozen manifest, per-pillar passes, aggregation rules, coverage audit
- Lens guidance — when and how to apply Well-Architected Lenses
- Risk assessment — impact × likelihood matrix and cross-pillar trade-offs
- Report template — the full report structure for the report step
- Security considerations — secure handling of workload data, review tooling, findings, and persisted artifacts
What ships with it
8 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.
- assets/report-template.md 6.6 KB
- references/discovery-procedure.md 3.5 KB
- references/evaluation-procedure.md 9.7 KB
- references/lens-guidance.md 2.1 KB
- references/phase-live-inventory.md 8.3 KB
- references/review-modes.md 4.7 KB
- references/risk-assessment.md 1.6 KB
- references/security-considerations.md 4.3 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.
- 25d ago First seen · 126 lines · 177 tokens per session scan A aa8fef39ef6d
aws-well-architected-review is a skill published in the GitHub repository aws/agent-toolkit-for-aws (2,892 stars, last pushed yesterday), licensed Apache-2.0. It adds 177 tokens to every session and 2,474 once invoked, about $0.0007 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 2026-09-22.
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