Chaos Engineer for Openclaw

A specialized AI agent skill for designing controlled failure experiments, managing blast radius, and building antifragile systems.

lhwa8685
v0.1.0
Mar 7, 2026
0
1.1k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install chaos-engineer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install chaos-engineer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Chaos Engineer?

The Chaos Engineer skill is a sophisticated toolset designed for site reliability engineers and DevOps professionals who want to build systems that get stronger under stress. By leveraging Openclaw Skills, this agent facilitates the scientific method of chaos engineering: identifying steady states, formulating hypotheses, and executing controlled failures to uncover hidden weaknesses before they become production outages.

This skill provides deep expertise in infrastructure, networking, and Kubernetes-level failure injection, ensuring that resilience is not just an afterthought but a continuous part of the development lifecycle. It emphasizes safety and control, providing frameworks for blast radius management and automated rollbacks.

Chaos Engineer Use Cases

  • Designing and executing high-impact chaos experiments with clear hypotheses.
  • Implementing industry-standard failure injection frameworks like Chaos Monkey, Litmus, and Chaos Mesh.
  • Planning and conducting organizational game day exercises to test team response and system behavior.
  • Building automated blast radius controls and safety mechanisms for cloud-native applications.
  • Setting up continuous chaos testing within CI/CD pipelines to prevent reliability regressions.

How Chaos Engineer Works

  1. System Analysis: The agent maps the architecture, dependencies, and critical paths to identify potential failure modes.
  2. Experiment Design: It defines the hypothesis, steady-state metrics, and specific blast radius to ensure safety.
  3. Execute Chaos: The agent runs controlled experiments using failure injection tools while monitoring system health in real-time.
  4. Learn & Improve: It documents findings, identifies root causes, and recommends specific architectural fixes.
  5. Automate: The successful experiment is integrated into the CI/CD pipeline for continuous resilience validation.

Chaos Engineer Setup

To get started with the Chaos Engineer skill, ensure your local environment is configured for Openclaw Skills and that you have access to your target infrastructure (e.g., a Kubernetes cluster or cloud provider).

# Install the chaos-engineer skill
openclaw install chaos-engineer

# Verify your failure injection environment
chaos-engineer --check-env

Once installed, you can trigger the agent by describing your architecture and the specific failure scenario you wish to test.

Chaos Engineer Data Schema & Taxonomy

The skill organizes its output into structured documentation and executable code. Below is the standard data schema for a chaos experiment:

Component Type Description
Experiment Design Markdown Contains hypothesis, steady state, and rollback triggers.
Injection Manifests YAML/Bash Executable code for Chaos Mesh, Litmus, or custom scripts.
Monitoring Config JSON/YAML Alerting rules and dashboard configurations for observability.
Post-Mortem Report Markdown Detailed analysis of the experiment results and MTTR impact.

Chaos Engineer Advanced Features

  • Automated rollback triggers that revert system state in under 30 seconds if safety thresholds are breached.
  • Multi-cloud and hybrid-cloud support for infrastructure chaos (network, zone, and region failures).
  • Native integration with Kubernetes-specific chaos tools via Openclaw Skills automation.
  • Comprehensive game day planning templates that coordinate human and machine responses.
  • Continuous resilience scoring to track the stability of the system over time.

SKILL.md


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