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 prompt-library-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/prompt-library-for-startups)<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/prompt-library-for-startups"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/prompt-library-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/prompt-library-for-startups"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/prompt-library-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 | $0.00228 | $0.02434 |
| Opus 5.5 | $0.00091 | $0.00974 |
| Sonnet 5.5 | $0.00046 | $0.00487 |
| Haiku 4.5 | $0.00023 | $0.00243 |
Grade A, and why
prompt-library-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 16d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- prompt-library-for-startups — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Startups Prompt & Agent Library
Searchable index of AWS-curated prompts for AI coding tools (Kiro, Claude Code, Cursor, etc.) plus downloadable installable agents. Content is verbatim from aws.amazon.com/startups/prompt-library.
Last updated: 2026-09-24
Where to start
Open references/prompt-library.md — it's the index. Filter by the Keywords column (e.g., RAG, Security & Compliance, Cost Optimization, EKS, Beginner, Bedrock), then open the linked detail file under references/prompt-library/<slug>.md. Each detail file carries the full verbatim System Prompt plus a How to use? section where available.
The index has three sections:
- Prompts — searchable index — copy-paste prompts.
- Downloadable agents — installable agents that clone from a GitHub repo.
- Frequently Asked Questions — guidance on writing a good prompt, costs, safety, no-technical-background usage, monitoring.
Handing over a prompt — match the host context
You ARE already inside an AI coding agent (Claude Code / Kiro / Cursor / etc.). Don't tell the user to "paste this into your AI tool" — you ARE the AI tool.
When the user asks for a prompt:
-
Read the index in
references/prompt-library.md, filter by keyword, identify the matching slug. -
Open
references/prompt-library/<slug>.mdand read the full System Prompt. -
Surface the prompt to the user as a reference from the AWS Startups Prompt Library, then offer them three paths:
"Here's the AWS Startups reference prompt for
<task>. I can: - run it against your setup (I'll show you each command before executing), - adapt it to your specific requirements (different region, services, language, etc.), or - you can copy it as a starting point.How would you like to proceed?"
-
Don't assume intent. Wait for the user's call (execute / adapt / copy) before acting.
What ships with it
30 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/prompt-library.md 27 KB
- references/prompt-library/ai-support-ticket-triage-and-routing-assistant.md 5.3 KB
- references/prompt-library/aws-architecture-assessment-with-mcp-integration.md 23 KB
- references/prompt-library/aws-cdk-typescript-pipeline-generator.md 3.1 KB
- references/prompt-library/aws-ecs-express-deployment-assistant.md 4.5 KB
- references/prompt-library/aws-guardduty.md 4.1 KB
- references/prompt-library/aws-security-baseline-terraform-deployment-kit.md 3.8 KB
- references/prompt-library/awsome-mvp-builder.md 5.3 KB
- references/prompt-library/bedrock-quota-manager.md 24 KB
- references/prompt-library/container-orchestration.md 3.7 KB
- references/prompt-library/cost-anomaly-detection.md 21 KB
- references/prompt-library/cost-optimized-eks-with-spot-instances.md 2.4 KB
- references/prompt-library/day-one-aws-foundation-setup.md 5.4 KB
- references/prompt-library/deploy-github-repo.md 3.8 KB
- references/prompt-library/elasticsearch-to-opensearch-migration.md 13 KB
- references/prompt-library/full-aws-deployment-agent.md 4.6 KB
- references/prompt-library/gpu-instance-quota-assistant.md 17 KB
- references/prompt-library/kiro-project-init.md 23 KB
- references/prompt-library/local-code-to-cloud.md 3.4 KB
- references/prompt-library/multi-region-assessment.md 49 KB
- references/prompt-library/mvsp.md 13 KB
- references/prompt-library/open-source-llm-inference.md 11 KB
- references/prompt-library/openapi-to-agentcore-gateway-deployment.md 11 KB
- references/prompt-library/opensearch-cluster-operational-review.md 3.1 KB
- references/prompt-library/rag-chatbot-with-claude.md 2.9 KB
- references/prompt-library/resiliency-baseline-evaluation.md 29 KB
- references/prompt-library/security-baseline-evaluation.md 29 KB
- references/prompt-library/startup-landing-page-deployment.md 4.0 KB
- references/prompt-library/startup-pitch.md 2.6 KB
- references/prompt-library/well-architecture-review.md 4.7 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.
- 16d ago Changed 7c008403d965
- 20d ago First seen · 125 lines · 228 tokens per session scan A db7da04a924e
prompt-library-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 228 tokens to every session and 2,434 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.
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