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performance-test-planning性能测试计划

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

303

周安装

13

GitHub Stars

61

下载量

106
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:performance-test-planning(性能测试计划)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/performance-test-planning
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill performance-test-planning
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill performance-test-planning

简介

用于辅助测试设计、自动化测试、用例整理和回归验证。

  • 适合编写单元测试、端到端测试或根据失败日志定位问题。
  • 使用时需确认项目测试框架、运行命令和夹具数据,避免误改逻辑。
  • 安装命令:npx skills add https://github.com/melodic-software/claude-code-plugins --skill performance-test-planning。
  • 涉及浏览器或外部服务时,应区分本地模拟与生产环境。

SKILL.md

Performance Test Planning

When to Use This Skill

Use this skill when:

  • Performance Test Planning tasks - Designing load profiles, capacity planning, SLA validation
  • Planning or design - Need guidance on performance testing approaches
  • Best practices - Want to follow established patterns and standards

Overview

Performance testing validates that systems meet non-functional requirements under expected and peak loads. Effective planning identifies critical paths, defines realistic load profiles, and establishes measurable success criteria.


Performance Test Types

TypePurposeLoad PatternDuration
Load TestValidate expected loadNormal traffic15-60 min
Stress TestFind breaking pointIncreasing until failureUntil failure
Soak TestFind memory leaksSustained normal load4-24 hours
Spike TestHandle sudden burstsSharp increase/decrease10-30 min
Capacity TestDetermine max capacityIncremental increaseVariable
Scalability TestValidate horizontal scaleIncreasing with resourcesVariable

Load Profile Patterns

Ramp-Up Pattern

Users
  │
100├────────────────────────●
  │                   ●────
  │              ●────
50├         ●────
  │    ●────
  │●────
 0└─────────────────────────►
   0    1    2    3    4    5 min

Spike Pattern

Users
  │         ●
  │        ╱ ╲
500├──────╱   ╲──────
  │     ╱     ╲
  │    ╱       ╲
100├───●         ●───
  │
 0└─────────────────────────►
   0   5   10  15  20 min

Quick Reference: Metrics Targets

MetricTargetCritical Threshold
Response Time (p50)< 100ms< 200ms
Response Time (p95)< 200ms< 500ms
Response Time (p99)< 500ms< 1000ms
Throughput> 1000 RPS> 500 RPS
Error Rate< 0.1%< 1%
CPU Utilization< 70%< 90%

Key Formulas

Little's Law: L = λ × W (Concurrent requests = Arrival rate × Response time)

Throughput: Concurrent Users / Average Response Time

Apdex: (Satisfied + Tolerating/2) / Total


References

ReferenceContentWhen to Load
performance-strategy-template.mdFull strategy template, scope, environment, scenariosPlanning performance test strategy
nbomber-examples.mdBasic load test, complex scenarios, data-driven testsImplementing.NET performance tests
capacity-planning.mdLittle's Law, throughput, Apdex, BenchmarkDotNetCapacity planning calculations

Integration Points

Inputs from:

  • Non-functional requirements → SLA targets
  • Architecture documents → Component topology
  • test-strategy-planning skill → Test scope

Outputs to:

  • CI/CD pipeline → Automated performance gates
  • Monitoring systems → Baseline metrics
  • Capacity planning → Infrastructure sizing

Test Scenarios

Scenario 1: Planning performance strategy

Query: "Help me create a performance test plan for our API"

Expected: Skill activates, provides strategy template, guides through objectives and scope

Scenario 2: Implementing load tests

Query: "Show me how to use NBomber for load testing in.NET"

Expected: Skill activates, loads nbomber-examples.md reference, provides code examples

Scenario 3: Capacity planning

Query: "How do I calculate capacity requirements for 10,000 users?"

Expected: Skill activates, loads capacity-planning.md reference, provides formulas and templates


Last Updated: 2025-12-28

Version History

  • v1.1.0 (2025-12-28): Refactored to progressive disclosure - extracted templates/examples to references/
  • v1.0.0 (2025-12-26): Initial release

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Antigravity

32.2%
按下载量换算34

trae

21.72%
按下载量换算23

windsurf

18.97%
按下载量换算20

Claude Code

12.34%
按下载量换算13

Codex

7.14%
按下载量换算8

Gemini CLI

3.73%
按下载量换算4

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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