aws-genai-ml-architect

aws-genai-ml-architect is a skill for Claude Code, Codex from awslabs/hcls-agent-skills. It costs 189 tokens per session (4,014 once invoked), scanned A, original, MIT-0.

A guide to designing AWS-based generative AI and machine-learning systems for healthcare and life-science work. It covers choices such as SageMaker versus Bedrock and architectures for medical literature, clinical language, imaging, genomics, and drug discovery.

In plain words
What is it for?
Use it to plan medical-literature search systems, clinical NLP or imaging inference, genomics pipelines, drug-discovery workflows, and other healthcare AI architectures on AWS.
Why use it?
It helps match AWS services and system designs to specialised healthcare and research needs.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to plan medical-literature search systems, clinical NLP or imaging inference, genomics pipelines, drug-discovery workflows, and other healthcare AI architectures on AWS.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/awslabs/hcls-agent-skills/aws-genai-ml-architect
About the project

awslabs/hcls-agent-skills is a collection of reusable instructions that help AI agents handle healthcare and life sciences work, including genomics, medical imaging, claims, and drug discovery. It is intended for agents running on Agent Skills-compatible platforms, and the catalogue entries are its individual domain skills.

awslabs/hcls-agent-skills · 72 stars · on GitHub · a.co

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 awslabs/hcls-agent-skills --skill aws-genai-ml-architect
Clone the repo
git clone --depth 1 https://github.com/awslabs/hcls-agent-skills

Made for: Claude Code, Codex.

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.

agentmods badge for aws-genai-ml-architect

README.md
[![agentmods](https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/aws-genai-ml-architect/github.svg)](https://agentmods.dev/skills/awslabs/hcls-agent-skills/aws-genai-ml-architect)
Your own site
<a href="https://agentmods.dev/skills/awslabs/hcls-agent-skills/aws-genai-ml-architect"><img src="https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/aws-genai-ml-architect/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.

agentmods 80×15 button for aws-genai-ml-architect

Your own site · 80×15
<a href="https://agentmods.dev/skills/awslabs/hcls-agent-skills/aws-genai-ml-architect"><img src="https://agentmods.dev/badge/skills/awslabs/hcls-agent-skills/aws-genai-ml-architect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 189 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,014 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 unknown 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00189 $0.04014
Opus 5.5 $0.00076 $0.01606
Sonnet 5.5 $0.00038 $0.00803
Haiku 4.5 $0.00019 $0.00401

Measured 2mo ago against content hash c3ca76da0481, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aws-genai-ml-architect 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 2mo 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.

skills/aws-genai-ml-architect/SKILL.md · 342 lines

The source is not reproduced here

Licensed MIT-0

The repository is licensed MIT-0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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.

  1. 2mo ago First seen · 342 lines · 189 tokens per session scan A c3ca76da0481

Subscribe to this mod's changes

aws-genai-ml-architect is a skill published in the GitHub repository awslabs/hcls-agent-skills (72 stars, last pushed 1mo ago), licensed MIT-0. It adds 189 tokens to every session and 4,014 once invoked, about $0.0008 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 2026-08-30.

Related

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