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.
git 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/plugins/awslabs/startups/aws-startup-advisor)<a href="https://agentmods.dev/plugins/awslabs/startups/aws-startup-advisor"><img src="https://agentmods.dev/badge/plugins/awslabs/startups/aws-startup-advisor/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/plugins/awslabs/startups/aws-startup-advisor"><img src="https://agentmods.dev/badge/plugins/awslabs/startups/aws-startup-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
aws-startup-advisor 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 22d 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.
This is a copy
86% identical to aws-startup-advisor — 21 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "aws-startup-advisor",
"displayName": "AWS Startup Advisor",
"version": "2.0.2",
"description": "Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, from day-one account setup to production-ready infrastructure. Migrate to AWS from GCP or Heroku—including your entire AI stack: OpenAI/Gemini/Anthropic SDK rewrites to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen) to AWS-native runtimes, and Temporal workers. Includes AWS Activate credits eligibility and 60+ exclusive startup offers. Built by AWS Startup Solutions Architects, with multi-account, multi-region support.",
"author": {
"name": "Amazon Web Services"
},
"license": "Apache-2.0",
"keywords": [
"aws",
"startups",
"activate",
"knowledge-base",
"prompt-library",
"gcp",
"google-cloud",
"migration",
"cloud-migration",
"terraform",
"fargate",
"rds",
"aurora",
"eks",
"bedrock",
"ai-migration",
"openai",
"openai-to-bedrock",
"langchain",
"langgraph",
"crewai",
"autogen",
"agentic",
"agents",
"llm-migration",
"cost-estimation",
"heroku",
"heroku-to-aws",
"move-to-aws",
"gemini",
"agentcore",
"agent-runtime",
"llm-to-bedrock",
"temporal",
"durable-execution",
"anthropic",
"claude",
"gcp-to-aws",
"cloud-run",
"cloud-sql",
"gke",
"vertex-ai",
"ecs",
"lambda",
"lambda-microvms",
"elastic-beanstalk",
"postgres",
"redis",
"kafka",
"elasticache",
"msk",
"switch-to-aws",
"cost-comparison",
"pricing-comparison",
"cost-optimization",
"credits",
"architecture",
"well-architected",
"mvp",
"rag",
"bedrock-migration",
"rewrite-sdk-calls",
"deploy-ai-agent",
"choose-agent-runtime",
"azure",
"azure-to-aws",
"aks",
"app-service",
"azure-sql",
"cosmos-db",
What it installs
The manifest is a name and a version. 11 skills, 7 agents, 1 hook, 1 MCP server travel with it, and installing the plugin installs all of them — 3,653 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill heroku-to-aws A 396 tokens
- Skill start-building-for-startups A 211 tokens
- Skill architect-for-startups A 222 tokens
- Skill llm-to-bedrock D 150 tokens
- Skill gcp-to-aws A 329 tokens
- Skill tf-best-practices A 107 tokens
- Skill agent-advisor A 560 tokens
- Skill contextual-offers-for-startups A 204 tokens
- Skill azure-to-aws A 516 tokens
- Skill knowledge-base-for-startups A 172 tokens
- Skill prompt-library-for-startups A 228 tokens
- Agent llm2bedrock-prompt-evaluator B 61 tokens
- Agent llm2bedrock-code-analyzer B 52 tokens
- Agent generic-phase-worker-rw B 143 tokens
- Agent llm2bedrock-log-ingestor B 45 tokens
- Agent generic-phase-worker-rwx B 158 tokens
- Agent llm2bedrock-report-generator C 52 tokens
- Agent llm2bedrock-code-rewriter D 47 tokens
- Hook SessionStart A not measured
- MCP server aws-mcp A not measured
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.
- 22d ago Changed 3c49b43add01
- 24d ago Changed · +11 lines 1fdbb04e2f37
- 1mo ago Changed 51bf8e9417cc
- 1mo ago First seen · 77 lines scan A 0875f2081f63
aws-startup-advisor is a plugin published in the GitHub repository awslabs/startups (24 stars, last pushed 12d ago), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. It is 86% identical to aws-startup-advisor, differing in 21 lines, and is treated as a copy.
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