Individual skill

aws-fault-injection-service

Plans, builds, runs, and analyzes fault injection experiments with AWS Fault Injection Service (AWS FIS) to validate application resilience through chaos engineering. Covers experiment templates (actions, targets, stop conditions), the FIS actions catalog and action selection, the scenario library (AZ power interruption, cross-Region connectivity, EC2/EKS/EBS stress), experiment lifecycle and monitoring, logging and reports, multi-account experiments, the experiment IAM role, and blast-radius safety. Applies when a user mentions AWS FIS or fault injection, asks what experiment to run for a failure mode (AZ, Region, API errors/throttling, instance/pod/DB/cache failure, latency, packet loss), wants to author an experiment template or CLI/CloudFormation, or needs to safely run chaos experiments in pre-production or production. For the broader resilience program across Resilience Hub and ARC, see aws-resilience-lifecycle; for ARC routing controls and zonal shift, see recovery-controller-setup.

skills/specialized-skills/resilience-skills/aws-fault-injection-service/SKILL.md

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Last checked: Nov 3, 2026

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Repository stars (not skill ratings): 3,422
Repository last updated: Nov 6, 2026
License: Apache-2.0

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SKILL.mdcore · 8,726 bytes
references/fis-actions-reference.mddoc · 10,585 bytes
references/fis-api-reference.mddoc · 8,097 bytes
references/fis-concepts.mddoc · 7,699 bytes
references/fis-security.mddoc · 9,061 bytes
references/fis-workflow.mddoc · 10,535 bytes

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# AWS Fault Injection Service (FIS) Experiments

## Overview

Domain expertise for AWS Fault Injection Service (AWS FIS) — a managed chaos-engineering
service that runs controlled fault injection experiments on real AWS resources so you can
observe how an application responds to disruption and improve its resilience.

This skill lets an agent do three things:

1. **Suggest the right experiment** — map a user's failure scenario or resilience question to
   the correct FIS action(s), scenario, or experiment design, and explain the trade-offs.
2. **Build and run experiments** — author experiment templates (actions, targets, stop
   conditions, logging, reports), wire up the experiment IAM role, and drive the run/monitor/stop