performance-testing

GitHub

提供k6/Locust性能测试自动化方案,涵盖负载、压力及尖峰测试。包含瓶颈分析流程与CI集成策略,确保系统高可用。

categories/testing-qa/performance-testing/SKILL.md cosmicstack-labs/mercury-agent-skills

Trigger Scenarios

需要执行性能或压力测试 进行系统瓶颈分析与优化 配置自动化性能监控

Install

npx skills add cosmicstack-labs/mercury-agent-skills --skill performance-testing -g -y
More Options

Non-standard path

npx skills add https://github.com/cosmicstack-labs/mercury-agent-skills/tree/main/categories/testing-qa/performance-testing -g -y

Use without installing

npx skills use cosmicstack-labs/mercury-agent-skills@performance-testing

指定 Agent (Claude Code)

npx skills add cosmicstack-labs/mercury-agent-skills --skill performance-testing -a claude-code -g -y

安装 repo 全部 skill

npx skills add cosmicstack-labs/mercury-agent-skills --all -g -y

预览 repo 内 skill

npx skills add cosmicstack-labs/mercury-agent-skills --list

SKILL.md

Frontmatter
{
    "name": "performance-testing",
    "metadata": {
        "tags": [
            "performance",
            "testing",
            "load-testing",
            "k6",
            "locust"
        ],
        "author": "cosmicstack-labs",
        "version": "1.0.0",
        "category": "testing-qa"
    },
    "description": "Load, stress, spike testing with k6\/Locust, bottleneck analysis, and performance test automation"
}

Performance Testing

Load, stress, and spike test your systems to ensure reliability at scale.

Types of Performance Tests

Type Goal Pattern
Smoke Verify basic perf with minimal load 1-5 users for 1 min
Load Test under expected traffic Ramp to target, hold 10-30 min
Stress Find breaking point Ramp up until failure
Spike Handle sudden traffic bursts Instant 10x load for 2-5 min
Endurance Detect memory leaks over time Sustained load for 1-24 hrs
Soak Verify long-term stability 50% load for hours

k6 Patterns

import http from 'k6/http';
import { check, sleep } from 'k6';

export const options = {
  stages: [
    { duration: '2m', target: 100 },  // Ramp up
    { duration: '5m', target: 100 },  // Hold
    { duration: '1m', target: 0 },    // Ramp down
  ],
  thresholds: {
    http_req_duration: ['p(95)<500'],
    http_req_failed: ['rate<0.01'],
  },
};

export default function () {
  const res = http.get('https://api.example.com/users');
  check(res, {
    'status is 200': (r) => r.status === 200,
    'response time < 300ms': (r) => r.timings.duration < 300,
  });
  sleep(1);
}

Bottleneck Analysis Flow

  1. Run test → find slow endpoint
  2. Check DB query plans
  3. Check app server CPU/memory
  4. Check external service latency
  5. Add caching or optimize query
  6. Re-test to verify improvement

Automation

  • Run smoke tests on every PR
  • Run full perf suite nightly
  • Alert on threshold breaches
  • Track latency percentiles over time in dashboards

Version History

  • 38e2523 Current 2026-07-05 19:42

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Version
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Indexed
2026-07-05 19:42

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