Agent skill
load-test-scenario-builder
Creates comprehensive load test plans with realistic scenarios, traffic models, k6 scripts, and success criteria. Use for "load testing", "performance testing", "capacity validation", or "stress testing".
Install this agent skill to your Project
npx add-skill https://github.com/patricio0312rev/skills/tree/main/performance/load-test-scenario-builder
SKILL.md
Load Test Scenario Builder
Validate system capacity with realistic load tests.
Load Test Scenarios
interface LoadTestScenario {
name: string;
description: string;
virtualUsers: number;
duration: string;
rampUp: string;
successCriteria: {
p95Latency: number;
errorRate: number;
throughput: number;
};
}
const scenarios: LoadTestScenario[] = [
{
name: "Baseline Load",
description: "Normal traffic pattern",
virtualUsers: 100,
duration: "10m",
rampUp: "2m",
successCriteria: {
p95Latency: 500, // ms
errorRate: 0.01, // 1%
throughput: 1000, // req/s
},
},
{
name: "Peak Load",
description: "Black Friday traffic",
virtualUsers: 1000,
duration: "30m",
rampUp: "5m",
successCriteria: {
p95Latency: 2000,
errorRate: 0.05,
throughput: 5000,
},
},
{
name: "Stress Test",
description: "Find breaking point",
virtualUsers: 5000,
duration: "20m",
rampUp: "10m",
successCriteria: {
p95Latency: 5000,
errorRate: 0.1,
throughput: 10000,
},
},
];
K6 Load Test Script
// load-tests/checkout-flow.js
import http from "k6/http";
import { check, sleep } from "k6";
import { Rate } from "k6/metrics";
const errorRate = new Rate("errors");
export let options = {
stages: [
{ duration: "2m", target: 100 }, // Ramp up
{ duration: "10m", target: 100 }, // Stay at 100
{ duration: "2m", target: 0 }, // Ramp down
],
thresholds: {
http_req_duration: ["p(95)<500"], // 95% under 500ms
errors: ["rate<0.01"], // Error rate <1%
},
};
export default function () {
// 1. Browse products
let browseRes = http.get("https://api.example.com/products");
check(browseRes, {
"browse status 200": (r) => r.status === 200,
}) || errorRate.add(1);
sleep(1);
// 2. Add to cart
let addCartRes = http.post(
"https://api.example.com/cart",
JSON.stringify({
productId: "123",
quantity: 1,
}),
{
headers: { "Content-Type": "application/json" },
}
);
check(addCartRes, {
"add cart status 201": (r) => r.status === 201,
}) || errorRate.add(1);
sleep(2);
// 3. Checkout
let checkoutRes = http.post(
"https://api.example.com/checkout",
JSON.stringify({
paymentMethod: "card",
}),
{
headers: { "Content-Type": "application/json" },
}
);
check(checkoutRes, {
"checkout status 200": (r) => r.status === 200,
"checkout success": (r) => r.json("status") === "success",
}) || errorRate.add(1);
sleep(3);
}
Traffic Models
// Realistic traffic patterns
export const trafficModels = {
// Steady state
steadyState: {
stages: [{ duration: "30m", target: 500 }],
},
// Gradual ramp
gradualRamp: {
stages: [
{ duration: "5m", target: 100 },
{ duration: "5m", target: 300 },
{ duration: "5m", target: 500 },
{ duration: "10m", target: 500 },
{ duration: "5m", target: 0 },
],
},
// Spike test
spikeTest: {
stages: [
{ duration: "2m", target: 100 },
{ duration: "1m", target: 2000 }, // Sudden spike
{ duration: "2m", target: 100 },
],
},
// Soak test (endurance)
soakTest: {
stages: [
{ duration: "5m", target: 500 },
{ duration: "4h", target: 500 }, // Long duration
{ duration: "5m", target: 0 },
],
},
};
Success Thresholds
export const thresholds = {
// Latency
http_req_duration: [
"p(50)<200", // 50% under 200ms
"p(95)<500", // 95% under 500ms
"p(99)<1000", // 99% under 1s
],
// Error rate
http_req_failed: ["rate<0.01"], // <1% errors
// Throughput
http_reqs: ["rate>1000"], // >1000 req/s
// Custom metrics
checkout_duration: ["p(95)<2000"],
checkout_success_rate: ["rate>0.95"],
};
Running Load Tests
#!/bin/bash
# scripts/run-load-tests.sh
echo "Running load tests..."
# Baseline test
k6 run --vus 100 --duration 10m load-tests/checkout-flow.js
# Peak load test
k6 run --vus 1000 --duration 30m load-tests/checkout-flow.js
# Stress test (find breaking point)
k6 run --vus 5000 --duration 20m load-tests/stress-test.js
# Generate report
k6 run --out json=results.json load-tests/checkout-flow.js
k6 run --out influxdb=http://localhost:8086 load-tests/checkout-flow.js
Result Analysis
interface LoadTestResult {
scenario: string;
timestamp: Date;
metrics: {
p50Latency: number;
p95Latency: number;
p99Latency: number;
errorRate: number;
throughput: number;
maxVUs: number;
};
passed: boolean;
notes: string[];
}
function analyzeResults(results: LoadTestResult) {
console.log(\`Load Test: \${results.scenario}\`);
console.log(\`Status: \${results.passed ? '✅ PASS' : '❌ FAIL'}\`);
console.log(\`p95 Latency: \${results.metrics.p95Latency}ms\`);
console.log(\`Error Rate: \${(results.metrics.errorRate * 100).toFixed(2)}%\`);
console.log(\`Throughput: \${results.metrics.throughput} req/s\`);
if (!results.passed) {
console.log('Failed criteria:');
results.notes.forEach(note => console.log(\` - \${note}\`));
}
}
Output Checklist
- Scenarios defined
- k6 scripts created
- Traffic models configured
- Success criteria set
- CI integration
- Results analysis ENDFILE
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