health-event-impact-assessment

health-event-impact-assessment is a skill for Claude Code, Codex from aws-samples/sample-aws-genai-ops-demos. It costs 67 tokens per session (2,387 once invoked), scanned A, original, MIT-0.

A skill for assessing how AWS Health events affect application workloads. AWS Health is Amazon Web Services' service for reporting maintenance, outages, and other service-impacting events.

In plain words
What is it for?
It is for estimating the affected systems, measuring the likely blast radius, identifying responsible teams, and deciding who should be notified.
Why use it?
It helps determine which systems and teams may be affected by an AWS event instead of treating every notification as equally urgent.

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 estimating the affected systems, measuring the likely blast radius, identifying responsible teams, and deciding who should be notified.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/aws-samples/sample-aws-genai-ops-demos/devops-agent-skill
About the project

AWS GenAI for Operations Demos is a collection of deployable code samples showing generative AI applications for cloud operations, including security, cost optimization, resilience, and automation. Cloud operations teams can deploy the demonstrations as provided or adapt them to their environments.

aws-samples/sample-aws-genai-ops-demos · 63 stars · on GitHub · aws-samples.github.io

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-aws-genai-ops-demos --skill devops-agent-skill
Clone the repo
git clone --depth 1 https://github.com/aws-samples/sample-aws-genai-ops-demos

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 health-event-impact-assessment

README.md
[![agentmods](https://agentmods.dev/badge/skills/aws-samples/sample-aws-genai-ops-demos/devops-agent-skill/github.svg)](https://agentmods.dev/skills/aws-samples/sample-aws-genai-ops-demos/devops-agent-skill)
Your own site
<a href="https://agentmods.dev/skills/aws-samples/sample-aws-genai-ops-demos/devops-agent-skill"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-aws-genai-ops-demos/devops-agent-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 health-event-impact-assessment

Your own site · 80×15
<a href="https://agentmods.dev/skills/aws-samples/sample-aws-genai-ops-demos/devops-agent-skill"><img src="https://agentmods.dev/badge/skills/aws-samples/sample-aws-genai-ops-demos/devops-agent-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,387 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 $0.00067 $0.02387
Opus 5.5 $0.00027 $0.00955
Sonnet 5.5 $0.00013 $0.00477
Haiku 4.5 $0.00007 $0.00239

Measured 12d ago against content hash 8ffe451bea5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

health-event-impact-assessment 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 12d 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.

observability/proactive-health-event-impact-analyzer/devops-agent-skill/SKILL.md · 260 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. 12d ago Changed · +48 lines · +14 tokens per session 8ffe451bea5d
  2. 1mo ago First seen · 212 lines · 53 tokens per session scan A afef4fec298f

Subscribe to this mod's changes

health-event-impact-assessment is a skill published in the GitHub repository aws-samples/sample-aws-genai-ops-demos (63 stars, last pushed today), licensed MIT-0. It adds 67 tokens to every session and 2,387 once invoked, about $0.0003 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.

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