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Agent Skill · 研究检索

testing-level-production(测试级生产)

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。

testing-level-production 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 50,488。

总安装 612周安装 25GitHub Stars 1下载 196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:testing-level-production(测试级生产)
来源仓库:https://github.com/wojons/skills
仓库路径:skills/testing-level-production
安装命令:
npx skills add https://github.com/wojons/skills --skill testing-level-production
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/wojons/skills --skill testing-level-production

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。

支持按生产级别标准执行测试活动。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。适用于高可用、高性能系统的可靠性验证。强调监控、告警与故障恢复能力的测试覆盖。需确保测试不影响线上用户体验与服务稳定性。

testing-level-production 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/testing-level-production

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/wojons/skills --skill testing-level-production;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

testing-level-production 怎么安装?

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

testing-level-production 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。

testing-level-production 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。

testing-level-production 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。

testing-level-production 用的人多吗?

公开数据是累计安装 612 次,近一周安装 25 次,下载 196 次,GitHub 1 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。

testing-level-production 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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
testing-level-production

测试级生产 · 本页

6121操作浏览器未明确通过

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

Production Testing Strategy

Comprehensive testing approach for production applications with real users, revenue, and reputation at stake.

When to use me

Use this skill when:

  • Releasing to general public or paying customers
  • Handling sensitive data or financial transactions
  • Scaling to thousands or millions of users
  • Meeting regulatory or compliance requirements
  • Maintaining brand reputation and user trust
  • Operating mission-critical business applications

What I do

Core Philosophy: "Production-grade" quality with comprehensive risk mitigation. Assume failures will happen and test accordingly.

Comprehensive Testing Suite:

  1. Automated Unit Testing

- All business logic and critical code paths - High code coverage (80-90%+) - Fast execution for developer feedback - Integrated into CI/CD pipeline

  1. Integration Testing

- All external service integrations - Database transactions and data consistency - API contract testing - Error handling and recovery scenarios

  1. End-to-End Automation

- Critical user workflows automated - Cross-browser and cross-platform testing - Visual regression testing - Performance benchmark testing

  1. Performance & Load Testing

- Load testing at 2-3x expected traffic - Stress testing to find breaking points - Endurance testing for memory leaks - Performance regression detection

  1. Security Testing

- Regular vulnerability scanning - Penetration testing (annual or per major release) - Authentication and authorization testing - Compliance validation (GDPR, HIPAA, PCI-DSS as applicable)

  1. Accessibility Testing

- WCAG compliance (AA level for public sites) - Screen reader and keyboard navigation - Regular audits with automated and manual testing

  1. Compatibility Testing

- Browser and device matrix testing - Operating system compatibility - Network condition simulation

  1. Usability Testing

- User experience validation - A/B testing for feature optimization - User feedback integration

Advanced Testing Practices:

  • Chaos engineering (failure injection)
  • Canary deployments and feature flag testing
  • Blue-green deployment testing
  • Disaster recovery and failover testing
  • Monitoring and observability validation

Examples

# Production Testing Commands
npm run test:ci                 # Full CI test suite
npm run test:coverage           # Coverage reporting
npm run test:e2e                # Automated E2E tests

# Performance testing
npm run test:performance:load   # Load testing
npm run test:performance:stress # Stress testing

# Security scanning
npm run test:security:scan      # Vulnerability scanning
npm run test:security:audit     # Security audit

# Accessibility
npm run test:accessibility      # WCAG compliance

# Compatibility
npm run test:compatibility      # Cross-browser testing

# Deployment validation
npm run test:smoke:production   # Production smoke tests
npm run test:canary             # Canary deployment tests

Output format

Production Testing Strategy:
──────────────────────────────
Quality Gates & Requirements:

✅ Unit Testing:
  - Coverage: 92% (target > 85%)
  - Tests: 2,847 passing
  - Execution time: 42 seconds

✅ Integration Testing:
  - Test Scenarios: 324
  - External Services: 8 integrated
  - Data Consistency: Verified

✅ E2E Automation:
  - Critical Paths: 18 automated workflows
  - Cross-browser: Chrome, Firefox, Safari, Edge
  - Mobile: iOS & Android responsive

✅ Performance:
  - Load Capacity: 10,000 concurrent users
  - Response Time: < 500ms (95th percentile)
  - Uptime Target: 99.95% SLA

✅ Security:
  - Vulnerabilities: 0 critical, 2 medium
  - Penetration Test: Last completed 30 days ago
  - Compliance: GDPR, PCI-DSS Level 4

✅ Accessibility:
  - WCAG 2.1 AA: 94% compliant
  - Screen Readers: NVDA, JAWS, VoiceOver tested
  - Keyboard Navigation: Fully accessible

Monitoring & Observability:
  - Application Performance Monitoring: Configured
  - Error Tracking: Real-time alerts
  - User Analytics: Feature usage tracking

Risk Mitigation:
  - Canary Deployments: 5% traffic initially
  - Feature Flags: Gradual rollout capability
  - Rollback Procedure: Tested quarterly
  - Disaster Recovery: RTO 4 hours, RPO 15 minutes

Recommendation:
  - All quality gates met for production release
  - Monitor performance metrics during peak hours
  - Schedule next penetration test in 90 days

Notes

  • Production testing is continuous, not one-time
  • Automate everything that can be automated
  • Monitor production metrics as ultimate test
  • Have rollback plans and practice them
  • Test failure scenarios, not just success paths
  • Consider different user segments and patterns
  • Balance comprehensive testing with release velocity
  • Learn from production incidents to improve testing
  • Maintain test environments that match production
  • Document and review testing strategy regularly

平台分布

Codex

35.47%
按下载量换算70

Claude

30.06%
按下载量换算59

Cursor

21.04%
按下载量换算41

Gemini CLI

10.02%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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