by affaan-mef648e01899ba3e8dc6371642deaaf64b4477775No license275K starsListed Oct 9, 2026Updated Oct 9, 2026Repository updated 4 days ago
使用此技能测量性能基线，检测PR前后的回归，并比较堆栈替代方案。
Measures performance baselines, detects regressions before and after PRs, and compares stack alternatives.
通过浏览器 MCP 测量真实浏览器指标：
对 API 端点进行基准测试：
测量开发反馈循环效率：
在变更前后运行以测量影响：
输出结果：
将基线数据以 JSON 格式存储在 .ecc/benchmarks/ 中。通过 Git 追踪，便于团队共享基线。
/benchmark compare/canary-watch 进行部署后监控/browser-qa 完成发布前完整检查清单Source:affaan-m/ECCindocs/zh-CN/skills/benchmarkat commitef648e0
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1. 导航至每个目标 URL2. 测量核心网页指标： - LCP（最大内容绘制）— 目标 < 2.5 秒 - CLS（累积布局偏移）— 目标 < 0.1 - INP（与下一次绘制的交互）— 目标 < 200 毫秒 - FCP（首次内容绘制）— 目标 < 1.8 秒 - TTFB（首字节时间）— 目标 < 800 毫秒3. 测量资源大小： - 页面总重量（目标 < 1MB） - JS 包大小（目标 < 200KB gzip 压缩后） - CSS 大小 - 图片重量 - 第三方脚本重量4. 统计网络请求数量5. 检查阻塞渲染的资源1. 每个端点请求 100 次2. 测量：p50、p95、p99 延迟3. 追踪：响应大小、状态码4. 负载测试：10 个并发请求5. 与 SLA 目标进行对比1. 冷构建时间2. 热重载时间 (HMR)3. 测试套件执行时间4. TypeScript 检查时间5. 代码检查时间6. Docker 构建时间/benchmark baseline # 保存当前指标# ... 进行更改 .../benchmark compare # 与基线进行比较| Metric | Before | After | Delta | Verdict ||--------|--------|-------|-------|---------|| LCP | 1.2s | 1.4s | +200ms | WARNING: WARN || Bundle | 180KB | 175KB | -5KB | ✓ BETTER || Build | 12s | 14s | +2s | WARNING: WARN |