qa-api-tester（QA API tester 测试）

API Tester

Test, validate, and automate API interfaces.

When to Use

✅ USE this skill when:

• Testing REST/GraphQL API endpoints
• Validating response status, headers, body, schema
• Writing pytest/requests API test scripts
• Generating Postman/Insomnia collections
• Chaining multi-step API workflows (auth → CRUD → verify)
• "帮我测一下这个接口" / "写个接口自动化脚本"

❌ DON'T use this skill when:

• Browser/UI testing → use web automation tools
• Designing test cases without execution → use test-case-gen
• Load testing at scale → use dedicated tools (JMeter, k6, locust)

Quick API Testing

Single Request (curl)

# GET
curl -s -w "\
%{http_code} %{time_total}s" \
  -H "Authorization: Bearer $TOKEN" \
  "https://api.example.com/users/1" | jq .

# POST with JSON body
curl -s -X POST \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $TOKEN" \
  -d '{"name":"test","email":"test@example.com"}' \
  "https://api.example.com/users" | jq .

# PUT / PATCH / DELETE similar pattern

Response Validation Checklist

For each API response, verify:

• [ ] Status code: Matches expected (200/201/400/401/403/404/500)
• [ ] Response time: Within SLA (e.g., < 500ms)
• [ ] Content-Type: Correct (application/json, etc.)
• [ ] Body structure: Required fields present, correct types
• [ ] Data accuracy: Values match expected business logic
• [ ] Error format: Error responses follow consistent schema
• [ ] Headers: Security headers present (CORS, CSP, etc.)

Automation Script Generation

Python pytest + requests

When user asks for automated API tests, generate this structure:

"""API Test Suite - {module_name}
Generated by 虫探 🔍
"""
import pytest
import requests

BASE_URL = "https://api.example.com"
TOKEN = ""  # Set via env or fixture

@pytest.fixture
def auth_headers():
    return {"Authorization": f"Bearer {TOKEN}", "Content-Type": "application/json"}

class TestUserAPI:
    """User module API tests"""

    def test_get_user_success(self, auth_headers):
        """TC001: Get user by valid ID"""
        resp = requests.get(f"{BASE_URL}/users/1", headers=auth_headers)
        assert resp.status_code == 200
        data = resp.json()
        assert "id" in data
        assert "name" in data
        assert data["id"] == 1

    def test_get_user_not_found(self, auth_headers):
        """TC002: Get user by non-existent ID"""
        resp = requests.get(f"{BASE_URL}/users/99999", headers=auth_headers)
        assert resp.status_code == 404

    def test_create_user_success(self, auth_headers):
        """TC003: Create user with valid data"""
        payload = {"name": "Test User", "email": "test@example.com"}
        resp = requests.post(f"{BASE_URL}/users", json=payload, headers=auth_headers)
        assert resp.status_code == 201
        data = resp.json()
        assert data["name"] == payload["name"]

    def test_create_user_missing_field(self, auth_headers):
        """TC004: Create user missing required field"""
        payload = {"name": "Test User"}  # missing email
        resp = requests.post(f"{BASE_URL}/users", json=payload, headers=auth_headers)
        assert resp.status_code in (400, 422)

Save to workspace and run:

# Save script
# Run tests
cd ~/.openclaw/workspace && python3 -m pytest test_api.py -v --tb=short

Multi-step Workflow Test

For complex flows (login → create → verify → delete):

class TestUserWorkflow:
    """End-to-end user CRUD workflow"""

    def test_full_crud_flow(self):
        # Step 1: Login
        resp = requests.post(f"{BASE_URL}/auth/login",
                           json={"username": "admin", "password": "pass"})
        assert resp.status_code == 200
        token = resp.json()["token"]
        headers = {"Authorization": f"Bearer {token}"}

        # Step 2: Create
        user = requests.post(f"{BASE_URL}/users",
                           json={"name": "E2E Test", "email": "e2e@test.com"},
                           headers=headers)
        assert user.status_code == 201
        user_id = user.json()["id"]

        # Step 3: Read & Verify
        get_resp = requests.get(f"{BASE_URL}/users/{user_id}", headers=headers)
        assert get_resp.status_code == 200
        assert get_resp.json()["name"] == "E2E Test"

        # Step 4: Update
        update = requests.put(f"{BASE_URL}/users/{user_id}",
                            json={"name": "Updated"}, headers=headers)
        assert update.status_code == 200

        # Step 5: Delete
        delete = requests.delete(f"{BASE_URL}/users/{user_id}", headers=headers)
        assert delete.status_code in (200, 204)

        # Step 6: Verify deleted
        verify = requests.get(f"{BASE_URL}/users/{user_id}", headers=headers)
        assert verify.status_code == 404

Postman Collection Export

Generate Postman v2.1 collection JSON:

{
  "info": {
    "name": "API Test Collection",
    "schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json"
  },
  "variable": [
    {"key": "base_url", "value": "https://api.example.com"},
    {"key": "token", "value": ""}
  ],
  "item": [
    {
      "name": "Auth",
      "item": [
        {
          "name": "Login",
          "request": {
            "method": "POST",
            "url": "{{base_url}}/auth/login",
            "header": [{"key": "Content-Type", "value": "application/json"}],
            "body": {"mode": "raw", "raw": "{\"username\":\"admin\",\"password\":\"pass\"}"}
          }
        }
      ]
    }
  ]
}

Common Test Scenarios

Always consider these for any API:

JSON Schema Validation

When validating API response structure:

import jsonschema

user_schema = {
    "type": "object",
    "required": ["id", "name", "email"],
    "properties": {
        "id": {"type": "integer", "minimum": 1},
        "name": {"type": "string", "minLength": 1},
        "email": {"type": "string", "format": "email"},
        "created_at": {"type": "string", "format": "date-time"}
    },
    "additionalProperties": False
}

def test_user_response_schema(auth_headers):
    resp = requests.get(f"{BASE_URL}/users/1", headers=auth_headers)
    jsonschema.validate(resp.json(), user_schema)

Quick Performance Check

# Simple latency test (10 requests)
for i in $(seq 1 10); do
  curl -s -o /dev/null -w "%{http_code} %{time_total}s\
" \
    -H "Authorization: Bearer $TOKEN" \
    "https://api.example.com/users"
done

# Concurrent requests (requires GNU parallel or xargs)
seq 1 50 | xargs -P 10 -I {} curl -s -o /dev/null -w "{}: %{http_code} %{time_total}s\
" \
  "https://api.example.com/health"

Environment Management

管理多环境配置，避免硬编码：

import os

ENV_CONFIG = {
    "dev":     {"base_url": "https://dev-api.example.com",  "token_env": "DEV_TOKEN"},
    "staging": {"base_url": "https://staging-api.example.com", "token_env": "STG_TOKEN"},
    "prod":    {"base_url": "https://api.example.com",      "token_env": "PROD_TOKEN"},
}

@pytest.fixture
def env():
    name = os.getenv("TEST_ENV", "dev")
    cfg = ENV_CONFIG[name]
    cfg["token"] = os.getenv(cfg["token_env"], "")
    return cfg

Run with: TEST_ENV=staging python3 -m pytest test_api.py -v