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.
/plugin marketplace add awslabs/startupsnpx agentmods add plugins/awslabs/startups/marketplacegit clone --depth 1 https://github.com/awslabs/startupsGrade A, and why
startups-for-aws 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 yesterday.
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 — 22 lines — stays where its author put it; the contents beside it link to each section on GitHub.
{
"name": "startups-for-aws",
"owner": {
"name": "Amazon Web Services"
},
"description": "AI-powered build and migrate guidance from AWS, built for startups at any stage.",
"plugins": [
{
"name": "migration-to-aws",
"source": "./migrate/plugins/migration-to-aws",
"version": "1.5.0",
"description": "Migrate from GCP or Heroku to AWS — including your entire AI stack. Moves infrastructure (Cloud Run → Fargate, Heroku Dynos → Fargate, databases → RDS/Aurora), OpenAI/Gemini/Anthropic workloads to Amazon Bedrock, and agentic systems (LangChain, CrewAI, AutoGen, OpenAI Agents SDK) to AWS-native frameworks. Generates runnable Terraform, migration scripts, provider adapters, and deployment artifacts. Gives honest model-by-model pricing comparisons so you know exactly when Bedrock saves money and when it doesn't. The bundled llm-to-bedrock skill executes AI/LLM migrations automatically (rewrite, evaluate, deliver a branch)."
},
{
"name": "aws-startup-advisor",
"source": "./advisor/plugins/aws-startup-advisor",
"version": "2.0.0",
"description": "Personalized AWS guidance built on patterns from 350,000+ startups—architecture, cost, security, and migration, now including the full migration toolkit. Build on AWS (day-one setup, security baselines, production architecture, cost optimization) and migrate to AWS from GCP or Heroku: infrastructure (Cloud Run/Dynos → Fargate, databases → RDS/Aurora), OpenAI/Gemini/Anthropic workloads to Amazon Bedrock, agentic systems (LangChain, CrewAI, AutoGen), and Temporal workers. Generates runnable Terraform, migration scripts, provider adapters, and deployment artifacts, with honest model-by-model pricing comparisons so you know exactly when Bedrock saves money and when it doesn't. Plus knowledge-base-for-startups (Activate FAQ, credits, offers, sample architectures, learn articles), prompt-library-for-startups (copy-paste prompts + installable agents), start-building-foWhat 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.
- yesterday First seen · 22 lines scan A dd31bdea2a1d
startups-for-aws is a plugin published in the GitHub repository awslabs/startups (16 stars, last pushed 3d 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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