chaos-runner
Run chaos engineering experiments using Chaos Monkey, Litmus, or Gremlin
npx skills add a5c-ai/babysitter --skill chaos-runner --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Chaos Engineering Runner Skill ## 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 ```json { "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" } } }, "option
- Overview
- Capabilities
- Target Processes
- Input Schema
- Output Schema
- Usage Example
What does the chaos-runner skill do?
Run chaos engineering experiments using Chaos Monkey, Litmus, or Gremlin
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill chaos-runner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.