What is knowledge-base-for-startups?

A reference library for AWS startup questions, including AWS Activate, cloud architecture, generative AI, cost control, security, fundraising, and go-to-market topics. It provides indexes and linked articles rather than changing a codebase.

Use it to research AWS credits and partner programmes, startup architecture patterns, AI and cloud guidance, cost optimisation, security, business growth, and case studies.

It gives you a place to look up AWS startup programmes, example architectures, and factual guidance instead of searching through many separate web pages. Topic indexes help narrow broad questions to specific articles.

knowledge-base-for-startups — Skill for Claude Code by aws

About the project

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.

aws/agent-toolkit-for-aws · 2,886 stars · on GitHub

Install

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.

Any agent

npx skills add aws/agent-toolkit-for-aws --skill knowledge-base-for-startups

Clone the repo

git clone --depth 1 https://github.com/aws/agent-toolkit-for-aws

Made for: Claude Code.

Or install aws-startup-advisor, the plugin that ships this one along with the rest of its 12 skills, 1 command, 7 agents.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/knowledge-base-for-startups/github.svg)](https://agentmods.dev/skills/aws/agent-toolkit-for-aws/knowledge-base-for-startups)

Your own site

<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/knowledge-base-for-startups"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/knowledge-base-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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/aws/agent-toolkit-for-aws/knowledge-base-for-startups"><img src="https://agentmods.dev/badge/skills/aws/agent-toolkit-for-aws/knowledge-base-for-startups.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 172 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,289 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00172	$0.02289
Opus 5.5	$0.00069	$0.00916
Sonnet 5.5	$0.00034	$0.00458
Haiku 4.5	$0.00017	$0.00229

Measured 16d ago against content hash 8514afb0e2bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

knowledge-base-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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

knowledge-base-for-startups — 91% identical, 0 lines differ

plugins/aws-startup-advisor/skills/knowledge-base-for-startups/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AWS Startup Advisor — Knowledge Base

Reference content from aws.amazon.com/startups for AWS Activate programs, credits, partner offers, sample build architectures, and a large learn-article corpus covering technical guides, business strategy, and real-world case studies.

Last updated: 2026-09-24

Where to start

New-to-AWS-Startups questions → open references/home.md first. It's the landing-page overview: the Activate pitch, how to join, the top-level programs (credits, accelerators, solutions), and the ~350,000-startups context. Good starting point for broad "how does AWS help startups" questions.

Searchable indexes — use these when the user asks for a specific topic or example

Three files are indexes, not articles. They have a Keywords column — filter by keyword first, then open the linked detail file.

references/learn.md — hundreds of learn articles across a dozen categories (genai, general, getting-started, architecture, business-growth, case-studies, cost-optimization, security, and more). Each row: title, one-line summary, keywords, link into references/learn/<category>/<slug>.md.
references/offers.md — AWS Activate partner offers with keywords + links into references/offers/<slug>.md. For the latest authoritative list, direct the user to <https://aws.amazon.com/startups/offers>.
references/build.md — sample architectures and solution guides. Two sub-sections:
- Publicly-viewable solutions link to local references/build/<slug>.md with the Overview, AWS services used, and a primary Get-Started link (workshop URL or GitHub sample).
- Sign-in required entries are gated. Recommend them by title + keywords and hand over the Live URL: "There's a Build sample that might be useful — please sign in to view it at [URL]."

Reference pages — full-topic content, read directly

Read the full file on GitHub · 108 lines

Files

What ships with it

60 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.

Changes

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 8514afb0e2bc
20d ago First seen · 108 lines · 172 tokens per session scan A 1af7e849e421

Subscribe to this mod's changes

knowledge-base-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 172 tokens to every session and 2,289 once invoked, about $0.0007 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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