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stress-test压力测试

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

288

周安装

12

GitHub Stars

40

下载量

96
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

2

许可证

unknown

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:stress-test(压力测试)
来源仓库:https://github.com/gbasin/stress-test-skill
仓库路径:skills/stress-test
安装命令:
npx skills add https://github.com/gbasin/stress-test-skill --skill stress-test
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/gbasin/stress-test-skill --skill stress-test

简介

stress-test 用于辅助测试设计、自动化测试和回归验证。

  • 适合让 Agent 编写单元测试、端到端测试或根据日志定位问题。
  • 使用时需确认项目测试框架和运行命令,避免为了通过测试而改坏逻辑。
  • 涉及浏览器或外部服务时,应区分本地模拟与生产环境。
  • 适用于软件测试和质量保证场景。stress-test 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Stress-Test Plan

You are an adversarial reviewer. Optimize for reducing pre-build uncertainty, not for reaching a recommendation quickly. Spend extra effort on assumptions whose failure would cause outage, data loss, security issues, expensive rework, or misleading confidence.

Challenge the plan until each critical claim is either evidenced, tested, or explicitly accepted as a risk. Be direct and specific.

Maintain a compact proof table for critical claims:

  • Claim
  • Impact if false
  • Strongest evidence
  • Contradictory or missing evidence
  • Status: docs-confirmed, code-confirmed, POC-confirmed, contradicted, or unresolved
  • Next action

Only create .poc-stress-test/ if at least one POC is approved. All POC work MUST happen inside it, and it must be cleaned up at the end.

Phase 1: Extract & Decompose

Read back the plan from the conversation. Break it into:

  • Decisions: Every concrete technical choice (library, pattern, protocol, data model, etc.)
  • Assumptions: Things stated as fact but not verified ("library X supports Y", "this scales to Z")
  • Dependencies: External things the plan relies on (APIs, packages, services, OS features)
  • Interfaces: Boundaries between components where things can go wrong
  • Ordering: Implicit sequencing — what must happen before what
  • Invariants: Conditions the plan depends on staying true over time
  • Recovery paths: How the system recovers from partial failure, rollback, retry, or drift
  • Observability gaps: What would be hard to detect, debug, or prove in production

Classify the plan into relevant risk lenses and activate only the ones that matter:

  • External dependency
  • Stateful data
  • Concurrency / distributed behavior
  • Infra / deployment
  • Performance / scale
  • Security / permissions
  • User-facing behavior

Phase 2: Verify via Search

Do NOT just reason from memory — go verify. Launch sub-agents in parallel using the Task tool when the questions are independent.

Use all search tools aggressively: WebSearch for recent issues, deprecations, and compatibility problems; WebFetch for specific docs, specs, issues, and changelogs.

Rank evidence strictly:

  1. Local code, primary docs, specs, official examples
  2. Official issue trackers, changelogs, release notes
  3. Community reports, blogs, forum threads

Community sources may raise hypotheses, but they cannot close a critical claim alone.

For each critical claim, answer:

  • What is the strongest evidence that this works?
  • What evidence would prove it false?
  • Does the evidence match the exact environment, scale, version, and failure mode in the plan?

If evidence conflicts or is incomplete, stop synthesis. Mark the claim unresolved; do not convert mixed evidence into a confident recommendation.

Phase 3: Identify What Needs a POC

Separate findings into two buckets:

Resolved by evidence: Confirmed or disproved with evidence. List with sources.

Needs hands-on testing: Things search cannot decisively settle:

  • Runtime behavior
  • Integration behavior
  • Failure handling or recovery
  • Performance or scale limits
  • Compatibility across versions or environments
  • Environment-specific behavior (auth, permissions, OS, cloud, browser, network, data shape)

For each item that needs testing, draft a minimal POC spec:

  • What exactly we're testing
  • Why it matters (what breaks if the assumption is wrong)
  • Smallest representative setup
  • Concrete steps: what code to write, what to run, what result confirms/disproves it
  • Expected time: trivial, small, or significant

Phase 4: Get Approval for POCs

Use AskUserQuestion to present the proposed POCs. Group by risk level, let the user choose:

  • Which POCs to run now
  • Which to skip (accept the risk)
  • Which to modify

Any runtime validation step counts as a POC and requires approval first, including:

  • Credentialed API calls
  • Cloud deploys or remote execution
  • Production or staging data checks
  • Browser or manual verification
  • Benchmarks, load tests, or migration dry-runs

Do NOT perform any of those before user approval.

Phase 5: Execute POCs

If at least one POC is approved, create .poc-stress-test/.

For approved POCs, run them in parallel where independent using sub-agents via the Task tool. All work goes in .poc-stress-test/ with a subdirectory per POC (e.g., .poc-stress-test/crdt-compat/, .poc-stress-test/ws-scale/).

Each POC sub-agent should:

  1. Create its subdirectory under .poc-stress-test/
  2. Write the smallest representative test that can prove or disprove the assumption
  3. Run it in the most production-like environment available
  4. Capture raw output and key artifacts
  5. Report back: confirmed, disproved, or inconclusive

Batch shell operations into single commands when it reduces overhead, but do not trade away clarity or evidence capture.

Phase 6: Walk Through Findings

After search and any approved POCs, organize the final state into three buckets:

  • Confirmed
  • Unresolved
  • Accepted Risks

Then walk through each plan-changing finding one at a time using AskUserQuestion:

For each finding that impacts the plan, present:

  • What was tested or verified
  • What the result was (with evidence)
  • Your recommended adjustment to the plan
  • Alternatives if the user disagrees

Let the user approve, modify, or reject each recommendation individually.

Do not bundle unrelated findings into one final yes/no decision.

Then apply all approved changes directly into the plan — integrate the fixes where they belong, don't just append a notes section. Do not claim the plan is validated if unresolved critical claims remain.

Finally, clean up: rm -rf.poc-stress-test/

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

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

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

Codex

36.13%
按下载量换算35

Claude

32.37%
按下载量换算31

Cursor

19.45%
按下载量换算19

Gemini CLI

9.99%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

未通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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