Chaos Engineering Runner Skill

SkillDev tools

Run chaos engineering experiments using Chaos Monkey, Litmus, or Gremlin

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Chaos Engineering Runner Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/software-architecture/skills/chaos-runner/SKILL.md and read by ahel’s review.

Overview

Runs chaos engineering experiments using Chaos Monkey, Litmus, or Gremlin including failure injection scenarios, blast radius control, and experiment analysis.

Capabilities

Run Chaos Monkey experiments
Litmus chaos execution
Gremlin integration
Failure injection scenarios
Blast radius control
Steady state validation
Experiment rollback
Results analysis

Target Processes

resilience-patterns

Input Schema

{
  "type": "object",
  "required": ["experiment"],
  "properties": {
    "experiment": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "type": {
          "type": "string",
          "enum": ["pod-kill", "network-latency", "cpu-stress", "memory-stress", "disk-fill", "node-drain"]
        },
        "target": {
          "type": "object",
          "properties": {
            "namespace": { "type": "string" },
            "labelSelector": { "type": "object" },
            "percentage": { "type": "number" }
          }
        },
        "duration": { "type": "string" }
      }
    },
    "framework": {
      "type": "string",
      "enum": ["litmus", "gremlin", "chaos-monkey", "toxiproxy"],
      "default": "litmus"
    },
    "steadyState": {
      "type": "object",
      "properties": {
        "probes": { "type": "array" },
        "assertions": { "type": "array" }
      }
    },
    "options": {
      "type": "object",
      "properties": {
        "dryRun": {
          "type": "boolean",
          "default": true
        },
        "autoRollback": {
          "type": "boolean",
          "default": true
        },
        "notifyOnFailure": {
          "type": "boolean",
          "default": true
        }
      }
    }
  }
}

Output Schema

{
  "type": "object",
  "properties": {
    "experimentId": {
      "type": "string"
    },
    "status": {
      "type": "string",
      "enum": ["passed", "failed", "aborted"]
    },
    "steadyStateValidation": {
      "type": "object",
      "properties": {
        "before": { "type": "boolean" },
        "during": { "type": "boolean" },
        "after": { "type": "boolean" }
      }
    },
    "metrics": {
      "type": "object",
      "properties": {
        "affectedPods": { "type": "number" },
        "recoveryTime": { "type": "string" },
        "errorRate": { "type": "number" }
      }
    },
    "findings": {
      "type": "array"
    },
    "recommendations": {
      "type": "array"
    }
  }
}

Usage Example

{
  kind: 'skill',
  skill: {
    name: 'chaos-runner',
    context: {
      experiment: {
        name: 'pod-failure-test',
        type: 'pod-kill',
        target: {
          namespace: 'production',
          labelSelector: { app: 'api-service' },
          percentage: 50
        },
        duration: '5m'
      },
      framework: 'litmus',
      steadyState: {
        probes: [{ type: 'http', endpoint: '/health' }],
        assertions: [{ metric: 'error_rate', operator: '<', value: 0.01 }]
      },
      options: {
        dryRun: false,
        autoRollback: true
      }
    }
  }
}

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: chaos-runner
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter