AWS Startups is an official AWS repository containing plugins, skills, tools, and other resources for people building startup products on Amazon Web Services. Its add-ons support startup-focused architecture, migration, and development work on AWS.
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 awslabs/startups --skill prompt-library-for-startupsgit clone --depth 1 https://github.com/awslabs/startupsWrote 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/awslabs/startups/prompt-library-for-startups)<a href="https://agentmods.dev/skills/awslabs/startups/prompt-library-for-startups"><img src="https://agentmods.dev/badge/skills/awslabs/startups/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/awslabs/startups/prompt-library-for-startups"><img src="https://agentmods.dev/badge/skills/awslabs/startups/prompt-library-for-startups.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 59 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium MCP Rug Pull · line 120 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00218 | $0.02424 |
| Opus 5 | $0.00109 | $0.01212 |
| Sonnet 5 | $0.00044 | $0.00485 |
| Haiku 4.5 | $0.00022 | $0.00242 |
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 9d 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 — 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: 2026-07-22
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 22 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 3.5 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 2.3 KB
- references/prompt-library/day-one-aws-foundation-setup.md 5.4 KB
- references/prompt-library/deploy-github-repo.md 2.9 KB
- references/prompt-library/elasticsearch-to-opensearch-migration.md 12 KB
- references/prompt-library/full-aws-deployment-agent.md 4.6 KB
- references/prompt-library/gpu-instance-quota-assistant.md 16 KB
- references/prompt-library/kiro-project-init.md 25 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 10 KB
- references/prompt-library/openapi-to-agentcore-gateway-deployment.md 10 KB
- references/prompt-library/opensearch-cluster-operational-review.md 3.1 KB
- references/prompt-library/rag-chatbot-with-claude.md 2.7 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.
- 9d ago First seen · 125 lines · 218 tokens per session scan A 26415e27a070
prompt-library-for-startups is a skill published in the GitHub repository awslabs/startups (17 stars, last pushed today), licensed Apache-2.0. It adds 218 tokens to every session and 2,424 once invoked, about $0.0011 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.
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