Token导航 LogoToken导航TokenDH.com
开发需要联网unknown未标认证来源可访问许可证需确认审计未展示

testing-strategies测试策略

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

198

周安装

8

下载量

62
Local Agent

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。

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:testing-strategies(测试策略)
来源仓库:https://smithery.ai
仓库路径:testing-strategies
安装命令:
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。当前暂无明确安装命令,请以来源页面说明为准。

简介

testing-strategies 用于辅助测试设计、自动化测试和回归验证,适合在 Local Agent 中制定整体测试策略时使用。

  • 可帮助划分测试层级、选择工具链与规划执行频率。
  • 适用于敏捷开发或多团队协作场景下的质量管控。
  • 使用前需确认团队对测试文化的接受程度。
  • 注意策略应与交付节奏相匹配,避免过度测试。

SKILL.md

Kailash Testing Strategies

3-tier testing strategy for Kailash applications. Tier 2/3 require real infrastructure — NO mocking (@patch, MagicMock, unittest.mock are BLOCKED) per rules/testing.md.

When to Use

Use when asking about testing, test strategy, 3-tier testing, unit tests, integration tests, end-to-end tests, testing workflows, testing DataFlow, testing Nexus, real infrastructure, NO mocking, test organization, or testing best practices.

Sub-File Index

  • test-3tier-strategy - Complete 3-tier guide: tier definitions, fixture patterns, CI/CD integration

3-Tier Strategy

TierScopeMockingSpeedInfrastructure
1 - UnitFunctions, classesAllowed<1s/testNone
2 - IntegrationWorkflows, DB, APIsBLOCKED — real infra only1-10s/testReal DB, real runtime
3 - E2EComplete user flowsBLOCKED — real infra only10s+/testReal HTTP, real everything

Real Infrastructure Policy (Tiers 2-3)

Why: Mocking hides database constraints, API timeouts, race conditions, connection pool exhaustion, schema migration issues, and LLM token limits.

What to use instead: Test databases (Docker containers), test API endpoints, test LLM accounts (with caching), temp directories.

Key Fixtures

@pytest.fixture
def db():
    """Real database for testing."""
    db = DataFlow("postgresql://test:test@localhost:5433/test_db")
    db.create_tables()
    yield db
    db.drop_tables()

@pytest.fixture
def runtime():
    return LocalRuntime()

Test Organization

tests/
  tier1_unit/          # Mocking allowed
  tier2_integration/   # Real infrastructure
  tier3_e2e/           # Full system
  conftest.py          # Shared fixtures

Component Testing Summary

ComponentTierKey Point
Workflows2Real runtime execution, verify results["node"]["result"]
DataFlow2Real DB, verify with read-back after write
Nexus API3Real HTTP requests to running server
Kaizen Agents2Real LLM calls with response caching

Regression Test Design

Regression tests lock in bug fixes. They MUST exercise the actual code path -- call the function, assert the raise or return value. Source-grep tests are BLOCKED as the sole assertion because they pin the implementation, not the contract: when the fix moves to a shared helper (the right refactor), the grep breaks even though the protection is still in place.

# Behavioral (survives refactors)
@pytest.mark.regression
def test_null_byte_rejected():
    parsed = urlparse("mysql://user:%00x@h/db")
    with pytest.raises(ValueError, match="null byte"):
        decode_userinfo_or_raise(parsed)

# Source-grep (BLOCKED as sole assertion)
def test_null_byte_exists_in_source():
    assert "\\x00" in open("src/kailash/db/connection.py").read()

See rules/testing.md "MUST: Behavioral Regression Tests Over Source-Grep" for the full rule and rationale.

Release-Blocking Regression Tier (Above Tier 3 E2E)

Unit and integration tests per primitive cannot observe the handoff between primitives; each primitive's tests construct test fixtures with exactly the fields it needs, and the chain between A → B fails only when A's real output is missing a field B actually needs. For every pipeline the docs teach (README Quick Start, tutorial, specs/*.md canonical example), add a regression test that executes the docs-exact code against real infrastructure AND asserts a deterministic fingerprint over the output. Flipped fingerprints block release. See skills/16-validation-patterns/SKILL.md § "End-to-End Pipeline Regression Above Unit/Integration" for the full pattern + kailash-ml 1.0.0 W33b evidence, and rules/testing.md § "End-to-End Pipeline Regression Tests Above Unit + Integration" for the MUST clause.

Optional Dependency Testing

Tests that exercise optional extras (e.g., [hpo], [redis], [vault]) MUST guard against the dependency being absent. Use pytest.importorskip at module or class scope so the test is *skipped* (not *failed*) in CI environments that don't install the extra.

# At module level — skips entire file if optuna is missing
optuna = pytest.importorskip("optuna", reason="optuna required for HPO tests")

class TestSuccessiveHalving:
    @pytest.mark.asyncio
    async def test_pruning(self):
        # optuna is guaranteed available here
        ...

Why: Base CI installs core dependencies only. A test that imports an optional extra without a skip guard fails every CI matrix entry, blocking unrelated PRs. pytest.importorskip is the standard mechanism — it imports the module if available and calls pytest.skip if not.

Where to place the guard: Before the first use of the optional module — typically at module scope (before the test class) or inside a fixture. Placing it inside a test function body is too late if the class-level setup already depends on the import.

Critical Rules

  • Tier 1: Mock external dependencies
  • Tier 2-3: Real infrastructure, no @patch/MagicMock/unittest.mock
  • Docker for test databases
  • Clean up resources after every test
  • Cache LLM responses for cost control
  • Run Tier 1 in CI always; Tier 2-3 optionally
  • Never commit test credentials

Running Tests

pytest tests/tier1_unit/        # Fast CI
pytest tests/tier2_integration/ # With real infra
pytest tests/tier3_e2e/         # Full system
pytest --cov=app --cov-report=html  # Coverage

Related Skills

Support

  • testing-specialist - Testing strategies and patterns
  • tdd-implementer - Test-driven development
  • dataflow-specialist - DataFlow testing patterns

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

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

Local Agent

89.09%
按下载量换算55

安全审计

暂无安全审计结果可展示。

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。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

继续浏览同类 Skills