aws-well-architected-review

aws-well-architected-review is a skill for Claude Code, Codex from ulises-jeremias/agent-toolkit. It costs 55 tokens per session (678 once invoked), scanned A, original, MIT.

A checklist for reviewing an application running on AWS against the six parts of the AWS Well-Architected Framework: operations, security, reliability, performance, cost, and sustainability. AWS is Amazon’s cloud platform.

In plain words
What is it for?
Use it to review AWS workloads, prepare or run a Well-Architected Review, and decide when live AWS account tools or an offline checklist are appropriate.
Why use it?
It gives a structured way to find design risks and improvement areas during an AWS architecture review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Part of the agent-toolkit-complete plugin — 116 skills shipped together

Good fit Use it to review AWS workloads, prepare or run a Well-Architected Review, and decide when live AWS account tools or an offline checklist are appropriate.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ulises-jeremias/agent-toolkit/aws-well-architected-review
Install

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.

Any agent
npx skills add ulises-jeremias/agent-toolkit --skill aws-well-architected-review
Clone the repo
git clone --depth 1 https://github.com/ulises-jeremias/agent-toolkit

Made for: Claude Code, Codex.

Or install agent-toolkit-complete, the plugin that ships this one along with the rest of its 116 skills.

Wrote 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.

agentmods badge for aws-well-architected-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/aws-well-architected-review/github.svg)](https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/aws-well-architected-review)
Your own site
<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/aws-well-architected-review"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/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.

agentmods 80×15 button for aws-well-architected-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/ulises-jeremias/agent-toolkit/aws-well-architected-review"><img src="https://agentmods.dev/badge/skills/ulises-jeremias/agent-toolkit/aws-well-architected-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 678 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00055 $0.00678
Opus 5 $0.00028 $0.00339
Sonnet 5 $0.00011 $0.00136
Haiku 4.5 $0.00006 $0.00068

Measured 12d ago against content hash 5267e9a97a72, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

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 12d 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.

plugins/agent-toolkit-complete/.github/skills/aws-well-architected-review/SKILL.md · 38 lines

How it starts

The opening of the file, as written. The whole thing — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS Well-Architected Review (WHAT)

Sources (2026-08-12): Framework https://docs.aws.amazon.com/wellarchitected/latest/framework/the-pillars-of-the-framework.html + https://docs.aws.amazon.com/wellarchitected/latest/framework/welcome.html + https://aws.amazon.com/architecture/well-architected/; WAR Tool https://docs.aws.amazon.com/wellarchitected/latest/userguide/getting-started.html; MCP awslabs/mcp https://github.com/awslabs/mcp + https://github.com/aws/mcp-proxy-for-aws GA https://aws.amazon.com/blogs/aws/the-aws-mcp-server-is-now-generally-available/; servers awslabs.core-mcp-server, awslabs.well-architected-security-mcp-server 0.1.3, awslabs.ecs-mcp-server 0.1.17 uvx awslabs.*@latest AWS_PROFILE/AWS_REGION.

Provider hierarchy: official MCP (awslabs/mcp family, mcp-proxy-for-aws GA) > custom prompts for account-aware ops (live context, auth via AWS_PROFILE/AWS_REGION); prompts (this skill checklist) remain fallback for offline/low-privilege/CI. See docs/cloud/research-384-candidates.md.

When to use

  • Designing or reviewing workload on AWS against 6 pillars.
  • Running Well-Architected Review (WAR) without console Tool access.

Instructions

  1. Run checklist per pillar: operational excellence (runbooks, observability), security (IAM, encryption, least privilege), reliability (multi-AZ, backup, retry), performance (right-sizing, caching), cost (graviton, S3 lifecycle), sustainability (right-sizing, serverless).
  2. Map to cloud-design-patterns where relevant (e.g., reliability → Circuit Breaker).
  3. If live account: delegate to awslabs/mcp (mcp-proxy-for-aws or awslabs.core-mcp-server uvx) for context; else do NOT paste ${AWS_*} secrets — use placeholders ${AWS_PROFILE}, ${AWS_REGION}, ${AWS_ACCOUNT_ID}.
  4. Record findings as High/Medium/Low risk per pillar and link to lenses/hands-on labs.

Security

  • Must not exfiltrate credentials; use ${AWS_*} placeholders; mark aws-well-architected-review as optional (no vendor lock).

Read the full file on GitHub · 38 lines

Changes

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.

  1. 12d ago First seen · 38 lines · 55 tokens per session scan A 5267e9a97a72

Subscribe to this mod's changes

aws-well-architected-review is a skill published in the GitHub repository ulises-jeremias/agent-toolkit (17 stars, last pushed today), licensed MIT. It adds 55 tokens to every session and 678 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

iblai-api-infrastructure

Deploy and self-host the ibl.ai platform infrastructure — AWS single/multi-server architecture, the golden-AMI staging launch pipeline, the iblai-infra-cli (Terraform + Ansible) provisioner, edX LMS SSO identity providers (Google/Microsoft/Apple/OpenID Connect), and standing up OpenClaw/NemoClaw agent-sandbox gateway…

iblai/api · 125 tokens

tencentcloud-dns

Manage DNS records on DNSPod (Tencent Cloud's DNS service). Use when the user asks to add / update / delete A / AAAA / CNAME / MX / TXT / NS / SRV / CAA records, list records for a domain, search records, add ACME challenge / SPF / DKIM / domain-verification TXT records. Backed by the official tencentcloud-sdk-python…

AceDataCloud/Skills · 91 tokens

tencentcloud-edgeone

Manage Tencent Cloud EdgeOne (CDN + edge security). Use when the user asks to: list zones, purge CDN cache (URL / prefix / hostname / all), prefetch URLs to warm edges, check purge / prefetch task status, manage acceleration domains, list / create / delete EdgeOne DNS records, inspect WAF / security configuration.…

AceDataCloud/Skills · 93 tokens

tencentcloud-cos

A management interface for Tencent Cloud COS, an object-storage service for keeping files in cloud buckets.

AceDataCloud/Skills · 82 tokens

vercel

Inspect Vercel projects, deployments, build logs and domains via the Vercel REST API. Use when the user mentions Vercel, a deployment that failed / is building, build or runtime logs, a preview URL, project domains, or wants to check / redeploy a Vercel project.

AceDataCloud/Skills · 65 tokens

upload-image-s3

Upload a local image file to S3-compatible storage (Cloudflare R2, AWS S3, MinIO, DigitalOcean Spaces) and return the public URL. Use whenever the user asks to "upload this image", "host this file", "get a public URL for X", "put this image online", "upload to R2", "upload to S3", or wants to make a local image…

tadeukaiba/mcp-media-toolkit · 116 tokens