sample-healthomics-agentic-setup: Instructions file for GitHub Copilot

copilot/.github/instructions/healthomics.instructions.md

sample-healthomics-agentic-setup healthomics.instructions.md is an instructions file for GitHub Copilot from aws-samples/sample-healthomics-agentic-setup. It costs 588 tokens per session, scanned A, original, MIT-0.

A set of project instructions for an AWS HealthOmics agent setup, including when to load guidance files and what supporting software is needed.

In plain words
What is it for?
Use it when onboarding to, configuring, or developing the aws-samples/sample-healthomics-agentic-setup project.
Why use it?
It provides project-specific context so work on the HealthOmics setup follows the expected process and dependencies.

Instructions file for GitHub Copilot ✓ vendor

Written for GitHub Copilot: a Copilot instructions file.

This is aws-samples/sample-healthomics-agentic-setup's own configuration. It tells GitHub Copilot how to work on sample-healthomics-agentic-setup itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything sample-healthomics-agentic-setup configures →

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

Reuse

Borrowing it

Nothing to install: this file belongs to aws-samples/sample-healthomics-agentic-setup. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/aws-samples/sample-healthomics-agentic-setup/main/copilot/.github/instructions/healthomics.instructions.md
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-healthomics-agentic-setup

Made for: GitHub Copilot.

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 sample-healthomics-agentic-setup healthomics.instructions.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/aws-samples/sample-healthomics-agentic-setup/healthomics.svg)](https://agentmods.dev/instructions/aws-samples/sample-healthomics-agentic-setup/healthomics)
Your own site
<a href="https://agentmods.dev/instructions/aws-samples/sample-healthomics-agentic-setup/healthomics"><img src="https://agentmods.dev/badge/instructions/aws-samples/sample-healthomics-agentic-setup/healthomics.svg" alt="Measured on agentmods" height="20"></a>
Per session 588 This file is loaded in full into every session.
When invoked 588 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.00588 $0.00588
Opus 5 $0.00294 $0.00294
Sonnet 5 $0.00118 $0.00118
Haiku 4.5 $0.00059 $0.00059

Measured 6d ago against content hash b6c3b573faf5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

sample-healthomics-agentic-setup healthomics.instructions.md 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 6d 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.

copilot/.github/instructions/healthomics.instructions.md · 43 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. 6d ago First seen · 43 lines · 588 tokens per session scan A b6c3b573faf5

Subscribe to this mod's changes

sample-healthomics-agentic-setup healthomics.instructions.md is an instructions file published in the GitHub repository aws-samples/sample-healthomics-agentic-setup (4 stars, last pushed 5d ago), licensed MIT-0. It adds 588 tokens to every session, about $0.0029 per session on Opus 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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