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api-testerAPI tester 测试

Agent Skill

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

总安装

2,151

周安装

87

GitHub Stars

38

下载量

675
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:api-tester(API tester 测试)
来源仓库:https://github.com/terminalskills/skills
仓库路径:skills/api-tester
安装命令:
npx skills add https://github.com/terminalskills/skills --skill api-tester
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/terminalskills/skills --skill api-tester

简介

用于辅助 API 设计、接口文档生成和前后端联调支持,提升服务集成效率。

  • 适合梳理 endpoint、生成 OpenAPI 草稿、检查字段命名及错误码规范。
  • 使用时应基于现有代码或样例提取事实,避免凭空补字段,并确认鉴权与分页规则。
  • 安装方式:通过 npx 从终端技能仓库添加,建议核对业务语义与错误处理边界。
  • api-tester 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

API Tester

Overview

Test API endpoints by sending HTTP requests, validating responses, and reporting results. Supports REST and GraphQL APIs with authentication, custom headers, request bodies, and structured assertions on status codes, headers, and response payloads.

Instructions

When a user asks you to test or debug an API endpoint, follow these steps:

Step 1: Gather endpoint details

Determine from the user or codebase:

  • URL: The full endpoint URL
  • Method: GET, POST, PUT, PATCH, DELETE
  • Headers: Content-Type, Authorization, custom headers
  • Body: JSON payload, form data, or query parameters
  • Auth: Bearer token, API key, basic auth
  • Expected response: Status code, response shape, specific values

Step 2: Send the request

Using curl (preferred for quick tests):

# GET request
curl -s -w "\nHTTP Status: %{http_code}\nTime: %{time_total}s\n" \
  -H "Authorization: Bearer $TOKEN" \
  "https://api.example.com/users?page=1"

# POST request with JSON
curl -s -w "\nHTTP Status: %{http_code}\nTime: %{time_total}s\n" \
  -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"name": "Jane", "email": "jane@example.com"}' \
  "https://api.example.com/users"

Using Python (for complex flows):

import requests
import json
import time

def test_endpoint(method, url, headers=None, body=None, expected_status=200):
    start = time.time()
    response = requests.request(method, url, headers=headers, json=body, timeout=30)
    elapsed = time.time() - start

    result = {
        "status": response.status_code,
        "time_ms": round(elapsed * 1000),
        "headers": dict(response.headers),
        "body": response.json() if response.headers.get("content-type", "").startswith("application/json") else response.text,
    }

    passed = response.status_code == expected_status
    print(f"{'PASS' if passed else 'FAIL'} | {method} {url} | {response.status_code} | {result['time_ms']}ms")
    return result, passed

Step 3: Validate the response

Check these in order:

  1. Status code matches expected (200, 201, 204, 400, 401, 404, etc.)
  2. Response time is acceptable (flag if > 2 seconds)
  3. Content-Type header matches expected format
  4. Response body structure matches expected schema
  5. Specific values match assertions
def validate_response(result, assertions):
    failures = []
    body = result["body"]

    for field, expected in assertions.items():
        actual = body
        for key in field.split("."):
            if isinstance(actual, dict):
                actual = actual.get(key)
            elif isinstance(actual, list) and key.isdigit():
                actual = actual[int(key)]
            else:
                actual = None
                break

        if actual != expected:
            failures.append(f"  {field}: expected {expected!r}, got {actual!r}")

    return failures

Step 4: Report results

Format as a clear test report:

API Test Results
================
Endpoint: POST /api/users
Status:   201 Created (expected 201) -- PASS
Time:     142ms
Body:     Valid JSON, 3 fields

Assertions:
  [PASS] body.id is present
  [PASS] body.name == "Jane"
  [PASS] body.email == "jane@example.com"
  [FAIL] body.role expected "admin", got "user"

Result: 3/4 assertions passed

Examples

Example 1: Test a CRUD flow

User request: "Test the users API -- create, read, update, delete"

Output:

API Test Suite: Users CRUD
==========================

1. POST /api/users
   Status: 201 Created -- PASS
   Time:   156ms
   Body:   {"id": 42, "name": "Test User", "email": "test@example.com"}

2. GET /api/users/42
   Status: 200 OK -- PASS
   Time:   38ms
   Body:   {"id": 42, "name": "Test User", "email": "test@example.com"}

3. PUT /api/users/42
   Status: 200 OK -- PASS
   Time:   89ms
   Body:   {"id": 42, "name": "Updated Name", "email": "test@example.com"}

4. DELETE /api/users/42
   Status: 204 No Content -- PASS
   Time:   45ms

5. GET /api/users/42 (verify deletion)
   Status: 404 Not Found -- PASS
   Time:   22ms

Result: 5/5 PASSED

Example 2: Debug a failing request

User request: "I'm getting a 401 on POST /api/orders, can you figure out why?"

Output:

Debugging POST /api/orders
===========================

Test 1: No auth header
  Status: 401 -- Missing Authorization header (expected)

Test 2: With Bearer token
  Status: 401 -- Response: {"error": "Token expired"}
  Note: Token exp claim is 2024-01-15T00:00:00Z (expired)

Test 3: With refreshed token
  Status: 201 Created -- PASS

Root cause: Your Bearer token has expired.
Fix: Refresh the token using POST /api/auth/refresh

Guidelines

  • Never send requests to production APIs unless the user explicitly confirms. Ask first.
  • Mask sensitive values (tokens, passwords, API keys) in output. Show only the last 4 characters.
  • For sequences of dependent requests (create then read), use the response from the first request to build the second.
  • Include response time in reports. Flag responses over 2 seconds as slow.
  • When testing auth flows, test both the happy path and common failure modes (expired token, wrong credentials, missing permissions).
  • For GraphQL, use POST with the query in the JSON body and validate the data field separately from errors.
  • If an endpoint returns pagination, test the first page and mention the total count.
  • Always set a timeout (30 seconds) to avoid hanging on unresponsive endpoints.

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

能力 4

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

34.7%
按下载量换算234

Claude

30.09%
按下载量换算203

Cursor

17.74%
按下载量换算120

Gemini CLI

9.6%
按下载量换算65

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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 warning/failed 结果,不能写成本站确认安全。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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