AGENT SKILL

chaos-experiment

Create and manage chaos experiments using Harness Chaos Engineering via MCP. Run resilience tests like pod deletion, CPU stress, and network faults. Use when user says "chaos experiment", "chaos engineering", "resilience test", "chaos test", or wants to test system reliability.

License 许可
Apache-2.0
所属仓库
zapabob/Skills
最近更新
2026-10-26
Stars
★ 2
Forks
0

01 前言 Front Matter

name
chaos-experiment
license
Apache-2.0
metadata
{ "author": "Harness", "version": "2.0.0", "mcp-server": "harness-mcp-v2" }
description
Create and manage chaos experiments using Harness Chaos Engineering via MCP. Run resilience tests like pod deletion, CPU stress, and network faults. Use when user says "chaos experiment", "chaos engineering", "resilience test", "chaos test", or wants to test system reliability.
compatibility
Requires Harness MCP v2 server (harness-mcp-v2)

02 资源文件 2

03 SKILL.md 正文

Chaos Experiment

Create and manage chaos experiments using Harness Chaos Engineering via MCP.

Instructions

Step 1: Check Infrastructure

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_infrastructure"
  org_id: "<organization>"
  project_id: "<project>"

Step 2: Browse Templates

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment_template"
  org_id: "<organization>"
  project_id: "<project>"

Step 3: List Existing Experiments

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment"
  org_id: "<organization>"
  project_id: "<project>"

Step 4: Create Experiment

Call MCP tool: harness_create
Parameters:
  resource_type: "chaos_experiment"
  org_id: "<organization>"
  project_id: "<project>"
  body: <experiment definition>

Step 5: Run Experiment

Call MCP tool: harness_execute
Parameters:
  resource_type: "chaos_experiment"
  action: "run"
  resource_id: "<experiment_id>"
  org_id: "<organization>"
  project_id: "<project>"

Step 6: Monitor Results

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_experiment_run"
  org_id: "<organization>"
  project_id: "<project>"

Get specific run details:

Call MCP tool: harness_get
Parameters:
  resource_type: "chaos_experiment_run"
  resource_id: "<run_id>"

Step 7: Check Probes

Call MCP tool: harness_list
Parameters:
  resource_type: "chaos_probe"
  org_id: "<organization>"
  project_id: "<project>"

Common Experiment Types

  • Pod Delete - Kill pods to test recovery
  • Pod CPU Hog - Stress CPU to test throttling
  • Pod Memory Hog - Consume memory to test OOM handling
  • Pod Network Loss - Simulate network failures
  • Pod Network Latency - Add artificial latency
  • Node Drain - Drain K8s nodes
  • EC2 Stop - Stop AWS EC2 instances
  • ECS Task Stop - Stop ECS tasks

Chaos Resource Types

Resource Type Operations Description
chaos_experiment list, get, create, update, delete, run Experiments
chaos_experiment_run list, get Run history/results
chaos_experiment_template list, get Pre-built templates
chaos_infrastructure list, get Target infrastructure
chaos_probe list, get Health probes

Examples

  • "Show me all chaos experiments" - List chaos_experiment
  • "Create a pod-delete experiment for checkout-service" - Create chaos_experiment
  • "Run the weekly resilience test" - Execute run action
  • "What were the results of the last chaos run?" - Get chaos_experiment_run

Performance Notes

  • Review existing experiments before creating duplicates. Check for similar fault types targeting the same service.
  • Wait for experiment completion before analyzing results. Do not draw conclusions from partial runs.
  • Verify the target infrastructure and service are healthy before running chaos experiments.

Troubleshooting

Experiment Won't Run

  • Verify chaos infrastructure is connected and active
  • Check target application/namespace exists
  • Ensure RBAC permissions for chaos operations

Probes Failing

  • Check probe endpoints are accessible
  • Verify probe timeout settings
  • Review probe type matches expected behavior

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