aws-healthomics

aws-healthomics is a skill for Claude Code, Codex from aws-samples/sample-healthomics-agentic-setup. It costs 53 tokens per session (419 once invoked), scanned A, original, MIT-0.

A workflow for working with AWS HealthOmics, Amazon's managed service for genomics and bioinformatics workflows.

In plain words
What is it for?
It is for creating, moving, running, debugging, and improving WDL, Nextflow, and CWL workflows in AWS HealthOmics.
Why use it?
It provides focused guidance for specialized workflow formats and genomics tasks that general development tools may not cover.

Skill for Claude CodeCodex ✓ vendor

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

Good fit It is for creating, moving, running, debugging, and improving WDL, Nextflow, and CWL workflows in AWS HealthOmics.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws-samples/sample-healthomics-agentic-setup/skill
About the project

sample-healthomics-agentic-setup is a set of configurations and guidance for connecting coding assistants to the AWS HealthOmics MCP Server. It helps users install the appropriate agent, steering documents, skills, and MCP setup for tools such as Kiro, Claude Code, Cursor, Codex, and Gemini CLI. The catalogue entries package parts of this HealthOmics workflow.

aws-samples/sample-healthomics-agentic-setup · 4 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-samples/sample-healthomics-agentic-setup --skill skill
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-healthomics-agentic-setup

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-healthomics

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws-samples/sample-healthomics-agentic-setup/skill/github.svg)](https://agentmods.dev/skills/aws-samples/sample-healthomics-agentic-setup/skill)
Your own site
<a href="https://agentmods.dev/skills/aws-samples/sample-healthomics-agentic-setup/skill"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-healthomics-agentic-setup/skill/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-healthomics

Your own site · 80×15
<a href="https://agentmods.dev/skills/aws-samples/sample-healthomics-agentic-setup/skill"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-healthomics-agentic-setup/skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 419 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 $0.00053 $0.00419
Opus 5.5 $0.00021 $0.00168
Sonnet 5.5 $0.00011 $0.00084
Haiku 4.5 $0.00005 $0.00042

Measured 1mo ago against content hash 3ef38a180e92, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

aws-healthomics 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 1mo 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.

codex/skill/SKILL.md · 40 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

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. 1mo ago First seen · 40 lines · 53 tokens per session scan A 3ef38a180e92

Subscribe to this mod's changes

aws-healthomics is a skill published in the GitHub repository aws-samples/sample-healthomics-agentic-setup (4 stars, last pushed 1mo ago), licensed MIT-0. It adds 53 tokens to every session and 419 once invoked, about $0.0002 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 2026-08-31.

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