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Agent Skill · 研究检索

testing-strategy(测试策略)

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-strategy 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,权限为执行命令;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 9,367。

总安装 14,368周安装 413GitHub Stars 公开资料未说明下载 3,683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
MIT

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-strategy(测试策略)
来源仓库:https://github.com/zpankz/mcp-skillset
仓库路径:skills/testing-strategy
安装命令:
npx skills add zpankz/mcp-skillset --skill "testing-strategy"
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。

AgentSkills.tonpx skills
npx skills add zpankz/mcp-skillset --skill "testing-strategy"

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。

用于辅助测试设计和自动化用例编写。testing-strategy 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合编写单元测试、端到端测试或测试计划。可根据失败日志定位问题并验证回归。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。

使用时需确认项目测试框架和运行命令。涉及浏览器服务时应区分本地模拟和生产环境。

来源仓库内路径:skills/testing-strategy

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 zpankz/mcp-skillset --skill "testing-strategy";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

    它需要执行命令,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-strategy 怎么安装?

在终端执行 npx skills add zpankz/mcp-skillset --skill "testing-strategy"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

testing-strategy 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-strategy 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add zpankz/mcp-skillset --skill "testing-strategy" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

testing-strategy 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

testing-strategy 用的人多吗?

公开数据是累计安装 14,368 次,近一周安装 413 次,下载 3,683 次。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-strategy 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 要求有安全扫描结论才肯安装的团队。
  • 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-strategy

测试策略 · 本页

14,368—执行命令MIT未收录

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

name
Testing Strategy
description
Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to 80%+, creating test infrastructure with mocks and fixtures, building CLI test suites, or systematizing ad-hoc testing. Provides 8 documented patterns (table-driven, golden file, fixture, mocking, CLI testing, integration, helper utilities, coverage-driven gap closure), 3 automation tools (coverage analyzer 186x speedup, test generator 200x speedup, methodology guide 7.5x speedup). Validated across 3 project archetypes with 3.1x average speedup, 5.8% adaptation effort, 89% transferability to Python/Rust/TypeScript.
allowed-tools
Read, Write, Edit, Bash, Grep, Glob

Testing Strategy

Transform ad-hoc testing into systematic, coverage-driven strategy with 15x speedup.

Coverage is a means, quality is the goal. Systematic testing beats heroic testing.

When to Use This Skill

Use this skill when:

  • 🎯 Starting new project: Need systematic testing from day 1
  • 📊 Coverage below 75%: Want to reach 80%+ systematically
  • 🔧 Test infrastructure: Building fixtures, mocks, test helpers
  • 🖥️ CLI applications: Need CLI-specific testing patterns
  • 🔄 Refactoring legacy: Adding tests to existing code
  • 📈 Quality gates: Implementing CI/CD coverage enforcement

Don't use when:

  • ❌ Coverage already >90% with good quality
  • ❌ Non-Go projects without adaptation (89% transferable, needs language-specific adjustments)
  • ❌ No CI/CD infrastructure (automation tools require CI integration)
  • ❌ Time budget <10 hours (methodology requires investment)

Quick Start (30 minutes)

Step 1: Measure Baseline (10 min)

# Run tests with coverage
go test -coverprofile=coverage.out ./...
go tool cover -func=coverage.out

# Identify gaps
# - Total coverage %
# - Packages below 75%
# - Critical paths uncovered

Step 2: Apply Coverage-Driven Gap Closure (15 min)

Priority algorithm:

  1. Critical paths first: Core business logic, error handling
  2. Low-hanging fruit: Pure functions, simple validators
  3. Complex integrations: File I/O, external APIs, CLI commands

Step 3: Use Test Pattern (5 min)

// Table-driven test pattern
func TestFunction(t *testing.T) {
    tests := []struct {
        name    string
        input   InputType
        want    OutputType
        wantErr bool
    }{
        {"happy path", validInput, expectedOutput, false},
        {"error case", invalidInput, zeroValue, true},
    }

    for _, tt := range tests {
        t.Run(tt.name, func(t *testing.T) {
            got, err := Function(tt.input)
            if (err != nil) != tt.wantErr {
                t.Errorf("error = %v, wantErr %v", err, tt.wantErr)
            }
            if !reflect.DeepEqual(got, tt.want) {
                t.Errorf("got %v, want %v", got, tt.want)
            }
        })
    }
}

Eight Test Patterns

1. Table-Driven Tests (Universal)

Use for: Multiple input/output combinations Transferability: 100% (works in all languages)

Benefits:

  • Comprehensive coverage with minimal code
  • Easy to add new test cases
  • Clear separation of data vs logic

See reference/patterns.md#table-driven for detailed examples.

2. Golden File Testing (Complex Outputs)

Use for: Large outputs (JSON, HTML, formatted text) Transferability: 95% (concept universal, tools vary)

Pattern:

golden := filepath.Join("testdata", "golden", "output.json")
if *update {
    os.WriteFile(golden, got, 0644)
}
want, _ := os.ReadFile(golden)
assert.Equal(t, want, got)

3. Fixture Patterns (Integration Tests)

Use for: Complex setup (DB, files, configurations) Transferability: 90%

Pattern:

func LoadFixture(t *testing.T, name string) *Model {
    data, _ := os.ReadFile(fmt.Sprintf("testdata/fixtures/%s.json", name))
    var model Model
    json.Unmarshal(data, &model)
    return &model
}

4. Mocking External Dependencies

Use for: APIs, databases, file systems Transferability: 85% (Go-specific interfaces, patterns universal)

See reference/patterns.md#mocking for detailed strategies.

5. CLI Testing

Use for: Command-line applications Transferability: 80% (subprocess testing varies by language)

Strategies:

  • Capture stdout/stderr
  • Mock os.Exit
  • Test flag parsing
  • End-to-end subprocess testing

See templates/cli-test-template.go.

6. Integration Test Patterns

Use for: Multi-component interactions Transferability: 90%

7. Test Helper Utilities

Use for: Reduce boilerplate, improve readability Transferability: 95%

8. Coverage-Driven Gap Closure

Use for: Systematic improvement from 60% to 80%+ Transferability: 100% (methodology universal)

Algorithm:

WHILE coverage < threshold:
  1. Run coverage analysis
  2. Identify file with lowest coverage
  3. Analyze uncovered lines
  4. Prioritize: critical > easy > complex
  5. Write tests
  6. Re-measure

Three Automation Tools

1. Coverage Gap Analyzer (186x speedup)

What it does: Analyzes go tool cover output, identifies gaps by priority

Speedup: 15 min manual → 5 sec automated (186x)

Usage:

./scripts/analyze-coverage.sh coverage.out
# Output: Priority-ranked list of files needing tests

See reference/automation-tools.md#coverage-analyzer.

2. Test Generator (200x speedup)

What it does: Generates table-driven test boilerplate from function signatures

Speedup: 10 min manual → 3 sec automated (200x)

Usage:

./scripts/generate-test.sh pkg/parser/parse.go ParseTools
# Output: Complete table-driven test scaffold

3. Methodology Guide Generator (7.5x speedup)

What it does: Creates project-specific testing guide from patterns

Speedup: 6 hours manual → 48 min automated (7.5x)


Proven Results

Validated in bootstrap-002 (meta-cc project):

  • ✅ Coverage: 72.1% → 72.5% (maintained above target)
  • ✅ Test count: 590 → 612 tests (+22)
  • ✅ Test reliability: 100% pass rate
  • ✅ Duration: 6 iterations, 25.5 hours
  • ✅ V_instance: 0.80 (converged iteration 3)
  • ✅ V_meta: 0.80 (converged iteration 5)

Multi-context validation (3 project archetypes):

  • ✅ Context A (CLI tool): 2.8x speedup, 5% adaptation
  • ✅ Context B (Library): 3.5x speedup, 3% adaptation
  • ✅ Context C (Web service): 3.0x speedup, 9% adaptation
  • ✅ Average: 3.1x speedup, 5.8% adaptation effort

Cross-language transferability:

  • Go: 100% (native)
  • Python: 90% (pytest patterns similar)
  • Rust: 85% (cargo test compatible)
  • TypeScript: 85% (Jest patterns similar)
  • Java: 82% (JUnit compatible)
  • Overall: 89% transferable

Quality Criteria

Coverage Thresholds

  • Minimum: 75% (gate enforcement)
  • Target: 80%+ (comprehensive)
  • Excellence: 90%+ (critical packages only)

Quality Metrics

  • Zero flaky tests (deterministic)
  • Test execution <2min (unit + integration)
  • Clear failure messages (actionable)
  • Independent tests (no ordering dependencies)

Pattern Adoption

  • ✅ Table-driven: 80%+ of test functions
  • ✅ Fixtures: All integration tests
  • ✅ Mocks: All external dependencies
  • ✅ Golden files: Complex output verification

Common Anti-Patterns

❌ Coverage theater: 95% coverage but testing getters/setters ❌ Integration-heavy: Slow test suite (>5min) due to too many integration tests ❌ Flaky tests: Ignored failures undermine trust ❌ Coupled tests: Dependencies on execution order ❌ Missing assertions: Tests that don't verify behavior ❌ Over-mocking: Mocking internal functions (test implementation, not interface)


Templates and Examples

Templates

Examples


Related Skills

Parent framework:

Complementary domains:

Acceleration:


References

Core methodology:

Quick guides:


Status: ✅ Production-ready | Validated in meta-cc + 3 contexts | 3.1x speedup | 89% transferable

平台分布

OpenCode

26.58%
按下载量换算979

Claude Code

22.8%
按下载量换算840

windsurf

18.34%
按下载量换算675

Codex

11.8%
按下载量换算435

kiro-cli

8.49%
按下载量换算313

mcpjam

3.86%
按下载量换算142

安全审计

暂无安全审计结果可展示。

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add zpankz/mcp-skillset --skill "testing-strategy" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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