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Agent Skill · 研究检索

stress-test(压力测试)

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。

stress-test 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为操作浏览器;许可证信息还不明确,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 65,084。

总安装 288周安装 12GitHub Stars 40下载 96核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/stress-test

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/gbasin/stress-test-skill --skill stress-test;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

stress-test 怎么安装?

在终端执行 npx skills add https://github.com/gbasin/stress-test-skill --skill stress-test。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

stress-test 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

stress-test 需要什么权限?

权限级别是操作浏览器。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。

stress-test 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

stress-test 用的人多吗?

公开数据是累计安装 288 次,近一周安装 12 次,下载 96 次,GitHub 40 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

stress-test 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
stress-test

压力测试 · 本页

28840操作浏览器未明确未通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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/

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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