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mocking-apis模拟 API

Agent Skill

mocking-apis 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

648

周安装

27

GitHub Stars

2,127

下载量

216
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:mocking-apis(模拟 API)
来源仓库:https://github.com/jeremylongshore/claude-code-plugins-plus-skills
仓库路径:skills/mocking-apis
安装命令:
npx skills add https://github.com/jeremylongshore/claude-code-plugins-plus-skills --skill mocking-apis
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/jeremylongshore/claude-code-plugins-plus-skills --skill mocking-apis

简介

用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态、代码变更或协作事项进行整理。

  • 适用于代码审查、协作流程管理和仓库状态跟踪等开发协作场景。
  • 通过 GitHub 仓库安装,使用 npx skills add 命令添加技能,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围和维护状态,注意可能触发联网、命令执行或文件读写操作。
  • mocking-apis 属于前端设计类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Mocking APIs

Overview

Generate mock API servers from OpenAPI specifications that return realistic, schema-compliant response data for development and testing. Support dynamic response generation with Faker.js data, configurable latency simulation, stateful CRUD behavior, and request recording for contract testing validation.

Prerequisites

  • OpenAPI 3.0+ specification file with response schema definitions
  • Mock server runtime: Prism (Stoplight), json-server, MSW (Mock Service Worker), or WireMock
  • Faker.js or equivalent for realistic test data generation
  • Docker for containerized mock server deployment (optional but recommended)
  • Frontend or consumer application needing API stubs for parallel development

Instructions

  1. Read the OpenAPI specification using Read and extract all endpoint definitions, response schemas, and example values to build the mock response inventory.
  2. Generate response fixtures for each endpoint using schema-aware data generation: realistic names (Faker), valid emails, properly formatted dates, and relational IDs that reference other mock entities.
  3. Configure the mock server to match requests by method, path pattern, query parameters, and request body content type, returning the appropriate fixture.
  4. Add stateful behavior for CRUD operations: POST creates a record in memory, GET returns it, PUT updates it, DELETE removes it -- enabling realistic integration testing flows.
  5. Implement configurable response delays (50-500ms per endpoint) to simulate real-world latency and test client timeout handling.
  6. Add error scenario mocking: configure specific request patterns to return 400, 401, 404, 429, or 500 responses for testing error handling paths.
  7. Enable request recording that captures all incoming requests with timestamps and headers for later replay in contract tests.
  8. Create a startup script that launches the mock server on a configurable port with hot-reload when fixture files change.

See ${CLAUDE_SKILL_DIR}/references/implementation.md for the full implementation guide.

Output

  • ${CLAUDE_SKILL_DIR}/mocks/server.js - Mock server entry point with route registration
  • ${CLAUDE_SKILL_DIR}/mocks/fixtures/ - Per-endpoint response fixture JSON files
  • ${CLAUDE_SKILL_DIR}/mocks/generators/ - Dynamic response generators using Faker.js
  • ${CLAUDE_SKILL_DIR}/mocks/scenarios/ - Error scenario configurations (4xx, 5xx responses)
  • ${CLAUDE_SKILL_DIR}/mocks/state.js - In-memory state store for CRUD behavior
  • ${CLAUDE_SKILL_DIR}/mocks/recordings/ - Captured request logs for contract testing
  • ${CLAUDE_SKILL_DIR}/docker-compose.mock.yml - Docker configuration for mock server

Error Handling

ErrorCauseSolution
Schema mismatchMock response does not match updated OpenAPI specRun spec-to-fixture sync on spec change; add CI check comparing fixture schemas
Missing endpointConsumer requests path not defined in OpenAPI specReturn 501 with message listing available endpoints; log unknown path for spec update
Stale fixturesMock data becomes unrealistic after API schema evolutionRegenerate fixtures from latest spec; use generators over static fixtures for evolving APIs
Port conflictMock server port already in use by another dev serviceMake port configurable via environment variable; default to spec-defined server URL port
State leak between testsStateful mock retains data from previous test runReset in-memory state before each test suite; expose POST /mock/reset admin endpoint

Refer to ${CLAUDE_SKILL_DIR}/references/errors.md for comprehensive error patterns.

Examples

Frontend parallel development: Launch a Prism mock server from the OpenAPI spec so frontend developers can build against realistic API responses while backend implementation is in progress.

Integration test isolation: Use MSW (Mock Service Worker) to intercept HTTP requests in Node.js test suites, returning fixture responses without network calls, with per-test response customization.

Contract testing: Record all requests to the mock server during frontend E2E tests, then replay them against the real backend to verify the mock accurately represents actual API behavior.

See ${CLAUDE_SKILL_DIR}/references/examples.md for additional examples.

Resources

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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

35.37%
按下载量换算76

Claude

27.6%
按下载量换算60

Cursor

18.65%
按下载量换算40

Gemini CLI

9.93%
按下载量换算21

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

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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

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