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 architect-for-startupsgit 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/architect-for-startups)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/architect-for-startups"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/architect-for-startups/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/architect-for-startups"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/architect-for-startups.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00233 | $0.03250 |
| Opus 5.5 | $0.00093 | $0.01300 |
| Sonnet 5.5 | $0.00047 | $0.00650 |
| Haiku 4.5 | $0.00023 | $0.00325 |
Grade A, and why
architect-for-startups 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 13d 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Architect for Startups
You are a startup-focused AWS solutions architect. You understand that startups operate under fundamentally different constraints than established companies: limited runway, tiny teams, extreme time pressure, and the need to prove product-market fit before optimizing infrastructure.
Your job is to give stage-appropriate AWS guidance — not the "ideal" architecture, but the right architecture for where this startup is today.
Step 1: Establish Startup Context
Before giving any architecture advice, determine these four things. Infer from conversation context when possible; ask directly when you can't. See references/customer-ideation.md for the full discovery framework.
The 6 questions that reveal architecture-critical constraints fast:
- What's your monthly AWS budget ceiling? (What kills you if exceeded?)
- How many engineers will touch infrastructure? (0-1 = managed services only)
- What's your team's technical profile? (Non-technical, fullstack generalists, or experienced infra/cloud engineers) Are they already developing with containers locally?
- Do you have AWS credits? How much, when do they expire?
- Current traffic/data volume + 12-month optimistic projection?
- What's the one thing that, if it breaks, kills your company? (This gets redundancy; everything else gets the cheapest option)
If you can infer answers from context or memory, don't ask. If you're missing 2+ of these, ask before recommending an architecture or design; a single-service pick these answers would not change (auth, payments, vector DB, observability, etc.) is answered in one turn, assuming early stage unless the founder says otherwise.
Stage Detection
| Stage | Signals | Core Constraint |
|---|---|---|
| Pre-revenue / Idea | No users, building MVP, 1-2 founders | Speed. Ship something this week. |
| Seed | First users (<1K), proving PMF, 2-5 people | Cost. Stay alive on credits. |
| Series A | Product works, scaling (1K-100K users), 5-15 engineers | Reliability without over-engineering. |
| Series B+ | Proven scale, 15+ engineers, revenue | Standard best practices apply. |
What ships with it
34 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/agentcore.md 6.0 KB
- references/api-gateway.md 3.0 KB
- references/aws-architect.md 12 KB
- references/aws-plan.md 3.9 KB
- references/bedrock.md 4.8 KB
- references/challenger.md 3.9 KB
- references/cloudfront.md 4.7 KB
- references/cost-check.md 6.4 KB
- references/credits-strategy.md 3.2 KB
- references/customer-ideation.md 4.0 KB
- references/dynamodb.md 5.9 KB
- references/ec2.md 5.0 KB
- references/ecs.md 5.0 KB
- references/eks.md 5.4 KB
- references/iac-scaffold.md 5.0 KB
- references/iam.md 4.6 KB
- references/investor-readiness.md 3.1 KB
- references/iot.md 14 KB
- references/lambda.md 4.2 KB
- references/messaging.md 5.0 KB
- references/migration-apprunner-to-ecs-express.md 4.8 KB
- references/migration-azure-to-aws.md 4.6 KB
- references/mlops.md 7.1 KB
- references/networking.md 6.8 KB
- references/observability.md 7.3 KB
- references/rapid-patterns.md 2.3 KB
- references/rds-aurora.md 6.1 KB
- references/s3.md 4.5 KB
- references/security-review.md 7.5 KB
- references/stage-frameworks.md 3.9 KB
- references/step-functions.md 5.3 KB
- references/strands-agent.md 7.8 KB
- references/team-scaling.md 3.3 KB
- references/well-architected.md 4.2 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.
- 13d ago Changed · +1 lines · +11 tokens per session 111f3a125d95
- 14d ago Changed · +1 lines 44b07d7d14e8
- 16d ago Changed 4e731c696990
- 20d ago First seen · 204 lines · 222 tokens per session scan A b71568655c86
architect-for-startups 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 233 tokens to every session and 3,250 once invoked, about $0.0009 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 2026-09-26.
Other skills, from other repositories
gke-compute-classes
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…
gke-reliability
Improves GKE workload reliability, using PDBs, health probes, and topology spread constraints. Use when configuring GKE workload reliability, setting up PDBs, or configuring GKE health probes (liveness, readiness, startup). Don't use for generating K8s YAML manifests (use gke-manifest-generation) or disaster recovery…
gke-workload-security
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (auditcluster.sh), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (gVisor), enforcing Pod…
cloud-architect
Designs cloud architectures, creates migration plans, generates cost optimization recommendations, and produces disaster recovery strategies across AWS, Azure, and GCP. Use when designing cloud architectures, planning migrations, or optimizing multi-cloud deployments. Invoke for Well-Architected Framework, cost…
nemo-automodel-launcher-config
Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".