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affaan-m/ECC/docs/zh-CN/skills/benchmark/SKILL.md

benchmark

Use it for engineering tasks; the detail page covers purpose, installation, and practical steps.

Source repository stars
234,327
Declared platforms
0
Static risk flags
0
Last source update
2026-07-27
Source checked
2026-07-28
DecisionCompatibilityInstallWorkflowPermissionsEvidenceSource

Decision brief

What it does—and where it fits

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。

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/affaan-m/ECC --skill "docs/zh-CN/skills/benchmark"
    Safe inspection promptEditorial

    Inspect the Agent Skill "benchmark" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/docs/zh-CN/skills/benchmark/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      使用场景

      在 PR 前后测量性能影响 为项目建立性能基线 用户反馈"感觉变慢"时 发布前确保达到性能目标 对比不同技术栈的性能表现

      在 PR 前后测量性能影响为项目建立性能基线用户反馈"感觉变慢"时
    2. 02

      工作原理

      /benchmark baseline 保存当前指标

      /benchmark baseline 保存当前指标
    3. 03

      模式 1：页面性能

      Review the “模式 1：页面性能” section in the pinned source before continuing.

      Review and apply the “模式 1：页面性能” source section.

    Permission review

    Static risk signals and limitations

    No configured static risk pattern was detected

    This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score58/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars234,327SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guidecatalog recordEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    affaan-m/ECC
    Skill path
    docs/zh-CN/skills/benchmark/SKILL.md
    Commit
    4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38
    License
    MIT
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    基准测试 — 性能基线及回归检测

    使用场景

    • 在 PR 前后测量性能影响
    • 为项目建立性能基线
    • 用户反馈"感觉变慢"时
    • 发布前确保达到性能目标
    • 对比不同技术栈的性能表现

    工作原理

    模式 1：页面性能

    通过浏览器 MCP 测量真实浏览器指标：

    1. 导航至每个目标 URL
2. 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

    模式 2：API 性能

    对 API 端点进行基准测试：

    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

    模式 3：构建性能

    测量开发反馈循环效率：

    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

    模式 4：前后对比

    在变更前后运行以测量影响：

    /benchmark baseline    # 保存当前指标
# ... 进行更改 ...
/benchmark compare     # 与基线进行比较

    输出结果：

    | Metric | Before | After | Delta | Verdict |
|--------|--------|-------|-------|---------|
| LCP | 1.2s | 1.4s | +200ms | WARNING: WARN |
| Bundle | 180KB | 175KB | -5KB | ✓ BETTER |
| Build | 12s | 14s | +2s | WARNING: WARN |

    输出

    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。

    集成

    • CI：在每个 PR 上运行 /benchmark compare
    • 配合 /canary-watch 进行部署后监控
    • 配合 /browser-qa 完成发布前完整检查清单

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