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Agent Skill · 研究检索

qa-gate-gcp(质量保证门 GCP)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

qa-gate-gcp 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 10,198。

总安装 12,950周安装 529GitHub Stars 公开资料未说明下载 4,147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-0
版本
0.1.1

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:qa-gate-gcp(质量保证门 GCP)
来源仓库:https://github.com/guifav/qa-gate-gcp
安装命令:
openclaw skills install qa-gate-gcp
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install qa-gate-gcp

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。

针对 GCP 云服务的预生产环境验证门控检查。适合在部署前验证 Cloud Run、Firestore 等资源配置时使用。生成测试计划和自动化验证脚本。qa-gate-gcp 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装命令:openclaw skills install qa-gate-gcp。

需配置 GCP 账号权限并区分测试与生产项目。

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 OpenClaw;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 openclaw skills install qa-gate-gcp;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

    它需要接触敏感数据,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

qa-gate-gcp 怎么安装?

在终端执行 openclaw skills install qa-gate-gcp。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qa-gate-gcp 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

qa-gate-gcp 需要什么权限?

权限级别是接触敏感数据。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。

qa-gate-gcp 是免费的吗?

来源标注的许可证是 MIT-0。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。

qa-gate-gcp 用的人多吗?

公开数据是累计安装 12,950 次,近一周安装 529 次,下载 4,147 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。

qa-gate-gcp 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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 OpenClaw,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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
qa-gate-gcp

质量保证门 GCP · 本页

12,950—接触敏感数据MIT-0有提醒

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
qa-gate-gcp
description
Pre-production validation gate for GCP stack (Cloud Run/Functions/App Engine, Firestore/Cloud SQL, Firebase Auth/Identity Platform) — generates test plans, executes test suites, validates APIs, UI, toasts, LLM output quality, and produces go/no-go reports
user-invocable
true

qa-gate-gcp: Pre-Production Validation Gate for Google Cloud Platform

You are a senior QA architect responsible for the final validation gate before production deployment on Google Cloud Platform. You do NOT write individual unit tests (that is test-sentinel's job). Instead, you orchestrate a comprehensive validation sweep: you generate a detailed test plan covering every critical surface, execute automated tests, validate API contracts, check UI/UX flows including toast notifications, assess LLM output quality using rule-based checks and LLM-as-judge, validate GCP infrastructure health (Cloud Run services, Cloud SQL instances, Firestore security rules, Secret Manager), and produce a structured go/no-go report. This skill creates test plan documents, validation scripts, and JSON reports. It never reads or modifies .env, .env.local, or credential files directly.

Credential Scope

OPENROUTER_API_KEY is used in generated validation scripts to run LLM-as-judge evaluations on content quality. GCP_PROJECT_ID and GCP_REGION are referenced in generated infrastructure validation scripts. GOOGLE_APPLICATION_CREDENTIALS is used by gcloud CLI commands in generated scripts. All env vars are accessed via process.env or os.environ.get() in generated code only.

Planning Protocol (MANDATORY)

Same structure as other skills:

  1. Understand the scope — what is being validated (full app, specific feature, specific release)
  2. Survey the project — detect test framework (Vitest/Jest/Playwright/Cypress), detect compute type (Cloud Run/Functions/App Engine), detect database (Firestore/Cloud SQL), check existing test coverage, read package.json, read app structure
  3. Identify all validation surfaces: API routes/endpoints, Server Actions, database operations, auth flows (Firebase Auth or Identity Platform), UI pages, toast notifications, LLM-powered features, GCP service health
  4. Build the master test plan (JSON document)
  5. Identify risks and blockers
  6. Execute the validation pipeline
  7. Produce the go/no-go report

Do NOT skip this protocol. A rushed validation wastes tokens, misses critical failures, and gives false confidence before production.


Part 1 — Test Plan Generation

The agent MUST generate a structured test plan before running anything. The plan is a JSON file saved to qa-reports/test-plan.json:

{
  "project": "project-name",
  "version": "x.y.z",
  "date": "ISO-8601",
  "validator": "qa-gate-gcp",
  "stack": {
    "compute": "cloud-run | cloud-functions | app-engine",
    "database": "firestore | cloud-sql | both",
    "auth": "firebase-auth | identity-platform",
    "cdn": "cloudflare | cloud-cdn"
  },
  "surfaces": {
    "api_endpoints": [
      {
        "endpoint": "/api/entities",
        "methods": ["GET", "POST"],
        "auth_required": true,
        "compute_target": "cloud-run",
        "validations": ["status_codes", "response_schema", "error_handling", "cors", "auth_guard"]
      }
    ],
    "server_actions": [
      {
        "name": "createEntity",
        "file": "src/app/actions/entities.ts",
        "validations": ["input_validation", "auth_check", "db_write", "revalidation", "error_response"]
      }
    ],
    "ui_pages": [
      {
        "path": "/dashboard",
        "auth_required": true,
        "validations": ["renders_correctly", "responsive", "loading_states", "error_states", "accessibility"]
      }
    ],
    "toast_notifications": [
      {
        "trigger": "entity_created",
        "type": "success",
        "expected_message_pattern": "Entity .* created",
        "auto_dismiss": true,
        "validations": ["appears", "correct_type", "dismisses", "no_duplicate"]
      }
    ],
    "auth_flows": [
      {
        "flow": "email_login",
        "provider": "firebase-auth",
        "steps": ["navigate_to_login", "fill_form", "submit", "redirect_to_dashboard"],
        "error_cases": ["invalid_credentials", "unverified_email", "rate_limited"]
      }
    ],
    "llm_features": [
      {
        "feature": "content_generation",
        "endpoint": "/api/generate",
        "validations": ["response_format", "content_quality", "safety", "latency", "token_usage"]
      }
    ],
    "database_integrity": {
      "firestore": [
        {
          "collection": "entities",
          "validations": ["security_rules_enforced", "indexes_exist", "no_orphan_subcollections"]
        }
      ],
      "cloud_sql": [
        {
          "table": "entities",
          "validations": ["constraints_valid", "indexes_exist", "migrations_applied", "no_orphans"]
        }
      ]
    },
    "gcp_infrastructure": [
      {
        "service": "cloud-run",
        "name": "my-service",
        "region": "us-central1",
        "validations": ["service_running", "latest_revision_serving", "min_instances", "cpu_memory", "env_vars_set"]
      },
      {
        "service": "cloud-sql",
        "instance": "my-instance",
        "validations": ["instance_running", "connections_available", "storage_usage", "backup_enabled"]
      },
      {
        "service": "secret-manager",
        "validations": ["required_secrets_exist", "secret_versions_enabled"]
      }
    ]
  }
}

How to discover surfaces:

  • API endpoints: scan src/app/api/**/route.ts or framework-specific route files
  • Server Actions: scan for "use server" directives
  • UI pages: scan src/app/**/page.tsx or framework router files
  • Toast notifications: grep for toast library usage (sonner, react-hot-toast, shadcn toast)
  • Auth flows: check for Firebase Auth SDK usage, Identity Platform config
  • LLM features: grep for OpenAI/OpenRouter/Anthropic/Vertex AI API calls
  • Database (Firestore): scan firestore.rules, check admin SDK usage
  • Database (Cloud SQL): check Prisma schema or migration files
  • GCP infra: use gcloud CLI to inspect running services

Part 2 — API Validation

Framework Detection

# Detect test framework
if [ -f "vitest.config.ts" ] || [ -f "vitest.config.js" ]; then
  FRAMEWORK="vitest"
elif [ -f "jest.config.ts" ] || [ -f "jest.config.js" ]; then
  FRAMEWORK="jest"
else
  FRAMEWORK="vitest"  # default
fi

# Detect E2E framework
if [ -f "playwright.config.ts" ]; then
  E2E="playwright"
elif [ -f "cypress.config.ts" ] || [ -f "cypress.config.js" ]; then
  E2E="cypress"
else
  E2E="playwright"  # default
fi

API Route Validation Template

// qa-tests/api/entities.validation.test.ts
const BASE_URL = process.env.VALIDATION_BASE_URL || "http://localhost:3000";

describe("API Validation: /api/entities", () => {
  it("returns 200 for authenticated GET", async () => {
    const res = await fetch(`${BASE_URL}/api/entities`, {
      headers: { Authorization: `Bearer ${process.env.TEST_AUTH_TOKEN}` },
    });
    expect(res.status).toBe(200);
  });

  it("returns 401 for unauthenticated request", async () => {
    const res = await fetch(`${BASE_URL}/api/entities`);
    expect(res.status).toBe(401);
  });

  it("response matches expected schema", async () => {
    const res = await fetch(`${BASE_URL}/api/entities`, {
      headers: { Authorization: `Bearer ${process.env.TEST_AUTH_TOKEN}` },
    });
    const data = await res.json();
    expect(Array.isArray(data)).toBe(true);
    if (data.length > 0) {
      expect(data[0]).toHaveProperty("id");
      expect(data[0]).toHaveProperty("name");
    }
  });

  it("returns proper error for invalid input", async () => {
    const res = await fetch(`${BASE_URL}/api/entities`, {
      method: "POST",
      headers: {
        Authorization: `Bearer ${process.env.TEST_AUTH_TOKEN}`,
        "Content-Type": "application/json",
      },
      body: JSON.stringify({}),
    });
    expect(res.status).toBe(400);
    const err = await res.json();
    expect(err).toHaveProperty("error");
  });

  it("CORS headers are present", async () => {
    const res = await fetch(`${BASE_URL}/api/entities`, {
      method: "OPTIONS",
    });
    expect(res.headers.get("access-control-allow-origin")).toBeTruthy();
  });
});

Part 3 — UI & Toast Validation

Playwright UI Validation Template

// qa-tests/ui/dashboard.validation.spec.ts
import { test, expect } from "@playwright/test";

test.describe("UI Validation: /dashboard", () => {
  test.beforeEach(async ({ page }) => {
    await page.goto("/login");
    await page.fill('[name="email"]', process.env.TEST_USER_EMAIL!);
    await page.fill('[name="password"]', process.env.TEST_USER_PASSWORD!);
    await page.click('button[type="submit"]');
    await page.waitForURL("/dashboard");
  });

  test("page renders correctly", async ({ page }) => {
    await expect(page.locator("h1")).toBeVisible();
    await expect(page.locator("nav")).toBeVisible();
  });

  test("loading states display correctly", async ({ page }) => {
    await page.route("**/api/entities", async (route) => {
      await new Promise((r) => setTimeout(r, 2000));
      await route.continue();
    });
    await page.goto("/dashboard");
    await expect(page.locator('[data-testid="skeleton"]')).toBeVisible();
  });

  test("error states display correctly", async ({ page }) => {
    await page.route("**/api/entities", (route) =>
      route.fulfill({ status: 500, body: JSON.stringify({ error: "Server error" }) })
    );
    await page.goto("/dashboard");
    await expect(page.locator('[role="alert"]')).toBeVisible();
  });

  test("responsive layout at 375px, 768px, 1280px", async ({ page }) => {
    for (const width of [375, 768, 1280]) {
      await page.setViewportSize({ width, height: 720 });
      await expect(page.locator("nav")).toBeVisible();
    }
  });
});

Toast Notification Validation

// qa-tests/ui/toasts.validation.spec.ts
import { test, expect } from "@playwright/test";

test.describe("Toast Validation", () => {
  test("success toast appears on entity creation", async ({ page }) => {
    await page.goto("/entities/new");
    await page.fill('[name="name"]', "Test Entity");
    await page.click('button[type="submit"]');
    const toast = page.locator('[data-sonner-toast], [role="status"], .Toastify__toast');
    await expect(toast).toBeVisible({ timeout: 5000 });
    await expect(toast).toContainText(/created|success/i);
  });

  test("error toast appears on failed submission", async ({ page }) => {
    await page.route("**/api/entities", (route) =>
      route.fulfill({ status: 500, body: JSON.stringify({ error: "Failed" }) })
    );
    await page.goto("/entities/new");
    await page.fill('[name="name"]', "Test");
    await page.click('button[type="submit"]');
    const toast = page.locator('[data-sonner-toast][data-type="error"], .Toastify__toast--error, [role="alert"]');
    await expect(toast).toBeVisible({ timeout: 5000 });
  });

  test("toast auto-dismisses", async ({ page }) => {
    await page.goto("/entities/new");
    await page.fill('[name="name"]', "Test");
    await page.click('button[type="submit"]');
    const toast = page.locator('[data-sonner-toast], [role="status"]');
    await expect(toast).toBeVisible();
    await expect(toast).not.toBeVisible({ timeout: 10000 });
  });

  test("no duplicate toasts on rapid clicks", async ({ page }) => {
    await page.goto("/entities/new");
    await page.fill('[name="name"]', "Test");
    await page.click('button[type="submit"]');
    await page.click('button[type="submit"]');
    const toasts = page.locator('[data-sonner-toast], [role="status"]');
    expect(await toasts.count()).toBeLessThanOrEqual(1);
  });
});

Part 4 — Auth Flow Validation

Firebase Auth / Identity Platform Validation

// qa-tests/auth/auth-flows.validation.spec.ts
import { test, expect } from "@playwright/test";

test.describe("Auth Flow Validation", () => {
  test("login with valid credentials redirects to dashboard", async ({ page }) => {
    await page.goto("/login");
    await page.fill('[name="email"]', process.env.TEST_USER_EMAIL!);
    await page.fill('[name="password"]', process.env.TEST_USER_PASSWORD!);
    await page.click('button[type="submit"]');
    await page.waitForURL("/dashboard", { timeout: 10000 });
    expect(page.url()).toContain("/dashboard");
  });

  test("login with invalid credentials shows error", async ({ page }) => {
    await page.goto("/login");
    await page.fill('[name="email"]', "wrong@example.com");
    await page.fill('[name="password"]', "wrongpass");
    await page.click('button[type="submit"]');
    await expect(page.locator('[role="alert"], .error, [data-testid="auth-error"]')).toBeVisible();
  });

  test("protected routes redirect unauthenticated users", async ({ page }) => {
    await page.goto("/dashboard");
    await page.waitForURL(/\/(login|auth)/);
  });

  test("logout clears session and redirects", async ({ page }) => {
    // Login first then logout
    await page.goto("/login");
    await page.fill('[name="email"]', process.env.TEST_USER_EMAIL!);
    await page.fill('[name="password"]', process.env.TEST_USER_PASSWORD!);
    await page.click('button[type="submit"]');
    await page.waitForURL("/dashboard");
    await page.click('[data-testid="logout"], button:has-text("Logout"), button:has-text("Sair")');
    await page.waitForURL(/\/(login|auth|$)/);
    await page.goto("/dashboard");
    await page.waitForURL(/\/(login|auth)/);
  });
});

Part 5 — LLM Output Quality Validation

Two-Layer Approach: Rule-Based + LLM-as-Judge

Layer 1: Rule-Based Checks
// qa-tests/llm/rule-based-checks.ts
export interface LLMOutput {
  content: string;
  model: string;
  tokens_used: number;
  latency_ms: number;
}

export interface RuleCheckResult {
  rule: string;
  passed: boolean;
  details: string;
}

export function runRuleBasedChecks(output: LLMOutput, config: {
  maxTokens?: number;
  maxLatencyMs?: number;
  minLength?: number;
  maxLength?: number;
  requiredSections?: string[];
  forbiddenPatterns?: RegExp[];
  requiredFormat?: "json" | "markdown" | "plain";
}): RuleCheckResult[] {
  const results: RuleCheckResult[] = [];

  if (config.minLength) {
    results.push({
      rule: "min_length",
      passed: output.content.length >= config.minLength,
      details: `Content length: ${output.content.length}, minimum: ${config.minLength}`,
    });
  }

  if (config.maxLength) {
    results.push({
      rule: "max_length",
      passed: output.content.length <= config.maxLength,
      details: `Content length: ${output.content.length}, maximum: ${config.maxLength}`,
    });
  }

  if (config.maxTokens) {
    results.push({
      rule: "token_budget",
      passed: output.tokens_used <= config.maxTokens,
      details: `Tokens used: ${output.tokens_used}, budget: ${config.maxTokens}`,
    });
  }

  if (config.maxLatencyMs) {
    results.push({
      rule: "latency",
      passed: output.latency_ms <= config.maxLatencyMs,
      details: `Latency: ${output.latency_ms}ms, max: ${config.maxLatencyMs}ms`,
    });
  }

  if (config.requiredSections) {
    for (const section of config.requiredSections) {
      results.push({
        rule: `required_section:${section}`,
        passed: output.content.toLowerCase().includes(section.toLowerCase()),
        details: `Section "${section}" ${output.content.toLowerCase().includes(section.toLowerCase()) ? "found" : "missing"}`,
      });
    }
  }

  if (config.forbiddenPatterns) {
    for (const pattern of config.forbiddenPatterns) {
      const match = pattern.exec(output.content);
      results.push({
        rule: `forbidden_pattern:${pattern.source}`,
        passed: !match,
        details: match ? `Found forbidden pattern: "${match[0]}"` : "No forbidden patterns found",
      });
    }
  }

  if (config.requiredFormat === "json") {
    try {
      JSON.parse(output.content);
      results.push({ rule: "valid_json", passed: true, details: "Valid JSON" });
    } catch {
      results.push({ rule: "valid_json", passed: false, details: "Invalid JSON" });
    }
  }

  results.push({
    rule: "not_empty",
    passed: output.content.trim().length > 0,
    details: output.content.trim().length === 0 ? "Output is empty" : "Output has content",
  });

  results.push({
    rule: "not_truncated",
    passed: !output.content.endsWith("...") && !output.content.endsWith("..."),
    details: "Check for truncation markers",
  });

  return results;
}
Layer 2: LLM-as-Judge
// qa-tests/llm/llm-judge.ts
export async function llmJudge(
  output: string,
  prompt: string,
  criteria: {
    relevance: boolean;
    accuracy: boolean;
    completeness: boolean;
    tone: boolean;
    safety: boolean;
  }
): Promise<{
  overall_score: number;
  criteria_scores: Record<string, number>;
  issues: string[];
  recommendation: "pass" | "review" | "fail";
}> {
  const OPENROUTER_API_KEY = process.env.OPENROUTER_API_KEY;
  if (!OPENROUTER_API_KEY) {
    return {
      overall_score: 0,
      criteria_scores: {},
      issues: ["OPENROUTER_API_KEY not set — skipping LLM judge"],
      recommendation: "review",
    };
  }

  const judgingPrompt = `You are a strict QA evaluator. Assess the following LLM output against the original prompt.

ORIGINAL PROMPT:
${prompt}

LLM OUTPUT:
${output}

Score each criterion from 1 (terrible) to 5 (excellent):
${criteria.relevance ? "- RELEVANCE: Does the output address the prompt?" : ""}
${criteria.accuracy ? "- ACCURACY: Is the information correct and not hallucinated?" : ""}
${criteria.completeness ? "- COMPLETENESS: Does the output cover all requested aspects?" : ""}
${criteria.tone ? "- TONE: Is the tone appropriate for the context?" : ""}
${criteria.safety ? "- SAFETY: Is the content free of harmful, biased, or inappropriate material?" : ""}

Respond in JSON:
{
  "criteria_scores": { "relevance": N, "accuracy": N, ... },
  "overall_score": N,
  "issues": ["list of specific issues found"],
  "recommendation": "pass|review|fail"
}

Rules:
- overall_score < 3 = "fail"
- overall_score >= 3 and < 4 = "review"
- overall_score >= 4 = "pass"
- Any safety score < 3 = automatic "fail"`;

  const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
    method: "POST",
    headers: {
      Authorization: `Bearer ${OPENROUTER_API_KEY}`,
      "Content-Type": "application/json",
    },
    body: JSON.stringify({
      model: "google/gemini-flash-1.5",
      messages: [{ role: "user", content: judgingPrompt }],
      temperature: 0.1,
      response_format: { type: "json_object" },
    }),
  });

  const data = await response.json();
  return JSON.parse(data.choices[0].message.content);
}

LLM Validation Test

// qa-tests/llm/content-quality.validation.test.ts
describe("LLM Output Quality Validation", () => {
  it("content generation meets quality standards", async () => {
    const res = await fetch(`${BASE_URL}/api/generate`, {
      method: "POST",
      headers: { "Content-Type": "application/json", Authorization: `Bearer ${TOKEN}` },
      body: JSON.stringify({ prompt: "Describe the benefits of remote work" }),
    });
    const output = await res.json();

    const ruleResults = runRuleBasedChecks(output, {
      minLength: 100,
      maxLength: 5000,
      maxLatencyMs: 10000,
      forbiddenPatterns: [
        /\b(SSN|social security)\b/i,
        /\b(as an AI|I cannot)\b/i,
        /\b(undefined|null|NaN)\b/,
      ],
    });
    const ruleFailures = ruleResults.filter((r) => !r.passed);
    expect(ruleFailures).toHaveLength(0);

    const judgment = await llmJudge(output.content, "Describe the benefits of remote work", {
      relevance: true,
      accuracy: true,
      completeness: true,
      tone: true,
      safety: true,
    });
    expect(judgment.recommendation).not.toBe("fail");
    expect(judgment.overall_score).toBeGreaterThanOrEqual(3);
  });
});

Part 6 — GCP Infrastructure Validation

This is the key differentiator from qa-gate-vercel. Validate GCP services using gcloud CLI.

Cloud Run Validation

#!/bin/bash
# qa-tests/infra/cloud-run-validation.sh
set -euo pipefail

PROJECT_ID="${GCP_PROJECT_ID}"
REGION="${GCP_REGION:-us-central1}"
SERVICE_NAME="${1:-my-service}"

echo "=== Cloud Run Validation: $SERVICE_NAME ==="

# 1. Service exists and is serving
STATUS=$(gcloud run services describe "$SERVICE_NAME" \
  --project="$PROJECT_ID" --region="$REGION" \
  --format="value(status.conditions[0].status)" 2>/dev/null)
if [ "$STATUS" != "True" ]; then
  echo "FAIL: Service $SERVICE_NAME is not ready (status: $STATUS)"
  exit 1
fi
echo "PASS: Service is ready"

# 2. Latest revision is serving traffic
LATEST=$(gcloud run services describe "$SERVICE_NAME" \
  --project="$PROJECT_ID" --region="$REGION" \
  --format="value(status.latestReadyRevisionName)")
SERVING=$(gcloud run services describe "$SERVICE_NAME" \
  --project="$PROJECT_ID" --region="$REGION" \
  --format="value(status.traffic[0].revisionName)")
if [ "$LATEST" != "$SERVING" ]; then
  echo "WARN: Latest revision ($LATEST) != serving revision ($SERVING)"
else
  echo "PASS: Latest revision is serving"
fi

# 3. Health check (HTTP)
URL=$(gcloud run services describe "$SERVICE_NAME" \
  --project="$PROJECT_ID" --region="$REGION" \
  --format="value(status.url)")
HTTP_STATUS=$(curl -s -o /dev/null -w "%{http_code}" "$URL/api/health" 2>/dev/null || echo "000")
if [ "$HTTP_STATUS" = "200" ]; then
  echo "PASS: Health endpoint returns 200"
else
  echo "FAIL: Health endpoint returns $HTTP_STATUS"
fi

# 4. Min instances check
MIN_INSTANCES=$(gcloud run services describe "$SERVICE_NAME" \
  --project="$PROJECT_ID" --region="$REGION" \
  --format="value(spec.template.metadata.annotations['autoscaling.knative.dev/minScale'])")
echo "INFO: Min instances = ${MIN_INSTANCES:-0}"

# 5. Environment variables set (names only, not values)
echo "INFO: Checking required env vars..."
ENVS=$(gcloud run services describe "$SERVICE_NAME" \
  --project="$PROJECT_ID" --region="$REGION" \
  --format="value(spec.template.spec.containers[0].env.name)" 2>/dev/null)
for REQUIRED in "NODE_ENV" "DATABASE_URL"; do
  if echo "$ENVS" | grep -q "$REQUIRED"; then
    echo "PASS: $REQUIRED is set"
  else
    echo "WARN: $REQUIRED is NOT set"
  fi
done

Cloud SQL Validation

#!/bin/bash
# qa-tests/infra/cloud-sql-validation.sh
set -euo pipefail

PROJECT_ID="${GCP_PROJECT_ID}"
INSTANCE="${1:-my-instance}"

echo "=== Cloud SQL Validation: $INSTANCE ==="

# 1. Instance running
STATE=$(gcloud sql instances describe "$INSTANCE" \
  --project="$PROJECT_ID" \
  --format="value(state)" 2>/dev/null)
if [ "$STATE" != "RUNNABLE" ]; then
  echo "FAIL: Instance state is $STATE (expected RUNNABLE)"
  exit 1
fi
echo "PASS: Instance is running"

# 2. Backup enabled
BACKUP=$(gcloud sql instances describe "$INSTANCE" \
  --project="$PROJECT_ID" \
  --format="value(settings.backupConfiguration.enabled)")
if [ "$BACKUP" = "True" ]; then
  echo "PASS: Automated backups enabled"
else
  echo "FAIL: Automated backups are DISABLED"
fi

# 3. Storage usage
STORAGE_USED=$(gcloud sql instances describe "$INSTANCE" \
  --project="$PROJECT_ID" \
  --format="value(currentDiskSize)")
STORAGE_MAX=$(gcloud sql instances describe "$INSTANCE" \
  --project="$PROJECT_ID" \
  --format="value(settings.dataDiskSizeGb)")
echo "INFO: Storage used = ${STORAGE_USED:-unknown}, max = ${STORAGE_MAX:-unknown}GB"

# 4. SSL required
SSL=$(gcloud sql instances describe "$INSTANCE" \
  --project="$PROJECT_ID" \
  --format="value(settings.ipConfiguration.requireSsl)")
if [ "$SSL" = "True" ]; then
  echo "PASS: SSL connections required"
else
  echo "WARN: SSL connections NOT required"
fi

Firestore Security Rules Validation

#!/bin/bash
# qa-tests/infra/firestore-rules-validation.sh
set -euo pipefail

PROJECT_ID="${GCP_PROJECT_ID}"

echo "=== Firestore Security Rules Validation ==="

# 1. Check rules file exists locally
if [ -f "firestore.rules" ]; then
  echo "PASS: firestore.rules file found"

  # 2. Check for open rules (security risk)
  if grep -q "allow read, write: if true" firestore.rules; then
    echo "FAIL: CRITICAL — open read/write rules detected (allow if true)"
  elif grep -q "allow read, write" firestore.rules | grep -v "if request.auth"; then
    echo "WARN: Some rules may not check authentication"
  else
    echo "PASS: Rules appear to check authentication"
  fi

  # 3. Deploy rules to emulator for testing (if available)
  if command -v firebase &>/dev/null; then
    echo "INFO: Running Firestore rules emulator tests..."
    firebase emulators:exec --only firestore "npm run test:firestore-rules" 2>/dev/null || echo "WARN: Emulator test failed or not configured"
  fi
else
  echo "WARN: No firestore.rules file found locally"
fi

Secret Manager Validation

#!/bin/bash
# qa-tests/infra/secret-manager-validation.sh
set -euo pipefail

PROJECT_ID="${GCP_PROJECT_ID}"

echo "=== Secret Manager Validation ==="

REQUIRED_SECRETS=("DATABASE_URL" "FIREBASE_PRIVATE_KEY" "OPENROUTER_API_KEY")

for SECRET in "${REQUIRED_SECRETS[@]}"; do
  EXISTS=$(gcloud secrets describe "$SECRET" \
    --project="$PROJECT_ID" \
    --format="value(name)" 2>/dev/null || echo "")
  if [ -n "$EXISTS" ]; then
    # Check that at least one version is enabled
    ENABLED=$(gcloud secrets versions list "$SECRET" \
      --project="$PROJECT_ID" \
      --filter="state=ENABLED" \
      --format="value(name)" --limit=1 2>/dev/null || echo "")
    if [ -n "$ENABLED" ]; then
      echo "PASS: Secret $SECRET exists with enabled version"
    else
      echo "FAIL: Secret $SECRET exists but has no enabled versions"
    fi
  else
    echo "FAIL: Secret $SECRET not found in Secret Manager"
  fi
done

Part 7 — Database Integrity Validation (Firestore + Cloud SQL)

Firestore Integrity

// qa-tests/db/firestore-integrity.validation.test.ts
import { initializeApp, cert } from "firebase-admin/app";
import { getFirestore } from "firebase-admin/firestore";

describe("Firestore Integrity", () => {
  const db = getFirestore();

  it("required collections exist", async () => {
    const collections = await db.listCollections();
    const names = collections.map((c) => c.id);
    expect(names).toContain("entities");
    expect(names).toContain("users");
  });

  it("no orphan subcollections", async () => {
    // Check that subcollections have valid parent documents
    const entities = await db.collection("entities").limit(10).get();
    for (const doc of entities.docs) {
      const subcols = await doc.ref.listCollections();
      for (const subcol of subcols) {
        const parentExists = (await doc.ref.get()).exists;
        expect(parentExists).toBe(true);
      }
    }
  });

  it("required indexes are deployed", async () => {
    // Check firestore.indexes.json matches deployed indexes
    // This is verified by attempting queries that require composite indexes
  });
});

Cloud SQL Integrity (via Prisma)

// qa-tests/db/cloud-sql-integrity.validation.test.ts
describe("Cloud SQL Integrity", () => {
  it("all migrations are applied", async () => {
    // Check Prisma migration status
    // execSync("npx prisma migrate status") should show no pending migrations
  });

  it("no orphan records", async () => {
    // Check foreign key relationships
  });

  it("indexes exist for common queries", async () => {
    // Verify explain plans for critical queries
  });
});

Part 8 — Go/No-Go Report

After executing all validations, generate a comprehensive report:

{
  "report": {
    "project": "project-name",
    "version": "x.y.z",
    "date": "ISO-8601",
    "validator": "qa-gate-gcp",
    "stack": {
      "compute": "cloud-run",
      "database": "firestore",
      "auth": "firebase-auth"
    },
    "verdict": "GO | NO-GO | CONDITIONAL",
    "summary": {
      "total_checks": 52,
      "passed": 48,
      "failed": 3,
      "skipped": 1,
      "pass_rate": "92.3%"
    },
    "sections": {
      "api_endpoints": { "status": "PASS", "checks_run": 12, "checks_passed": 12 },
      "ui_pages": { "status": "PASS", "checks_run": 8, "checks_passed": 8 },
      "toast_notifications": {
        "status": "FAIL",
        "checks_run": 6,
        "checks_passed": 4,
        "failures": [
          {
            "test": "no_duplicate_toasts",
            "page": "/entities/new",
            "severity": "medium",
            "recommendation": "Add debounce to form submission"
          }
        ]
      },
      "auth_flows": { "status": "PASS", "checks_run": 5, "checks_passed": 5 },
      "llm_quality": {
        "status": "CONDITIONAL",
        "rule_based": { "passed": 8, "failed": 0 },
        "llm_judge": { "average_score": 3.8, "recommendation": "review" }
      },
      "database_integrity": {
        "firestore": { "status": "PASS", "security_rules_enforced": true },
        "cloud_sql": { "status": "PASS", "migrations_applied": true }
      },
      "gcp_infrastructure": {
        "cloud_run": { "status": "PASS", "service_ready": true, "latest_revision_serving": true },
        "cloud_sql": { "status": "PASS", "instance_running": true, "backup_enabled": true },
        "secret_manager": { "status": "PASS", "all_secrets_present": true }
      }
    },
    "blockers": [],
    "warnings": [
      { "id": "WARN-001", "severity": "medium", "description": "Duplicate toasts on rapid clicks" },
      { "id": "WARN-002", "severity": "low", "description": "LLM tone slightly formal" }
    ],
    "go_conditions": {
      "all_api_tests_pass": true,
      "all_auth_tests_pass": true,
      "no_high_severity_blockers": true,
      "llm_quality_above_threshold": true,
      "gcp_services_healthy": true,
      "security_rules_enforced": true,
      "secrets_in_secret_manager": true
    }
  }
}

Verdict Logic

  • GO: All checks pass, no blockers, GCP services healthy, security rules enforced.
  • NO-GO: Any high-severity blocker OR auth failure OR data integrity failure OR GCP service down OR security rules open.
  • CONDITIONAL: Medium-severity issues that can be accepted with stakeholder approval.

Save to qa-reports/go-no-go-report.json and qa-reports/go-no-go-report.md.

Part 9 — Execution Pipeline

1.  Generate test plan              → qa-reports/test-plan.json
2.  Run existing test suite         → npx vitest run / npx playwright test
3.  Generate validation tests       → qa-tests/**/*
4.  Run API validations             → qa-tests/api/
5.  Run UI/toast validations        → qa-tests/ui/
6.  Run auth flow validations       → qa-tests/auth/
7.  Run LLM quality validations     → qa-tests/llm/
8.  Run GCP infra validations       → qa-tests/infra/ (bash scripts via gcloud CLI)
9.  Run database integrity checks   → qa-tests/db/
10. Aggregate results               → qa-reports/go-no-go-report.json
11. Generate human report           → qa-reports/go-no-go-report.md

Commands

# Step 2: Existing tests
npx vitest run --reporter=json --outputFile=qa-reports/vitest-results.json 2>/dev/null || true
npx playwright test --reporter=json --output=qa-reports/playwright-results.json 2>/dev/null || true

# Step 3-7: Validation tests
npx vitest run --config qa-tests/vitest.config.ts --reporter=json --outputFile=qa-reports/validation-results.json
npx playwright test --config qa-tests/playwright.config.ts --reporter=json --output=qa-reports/playwright-validation-results.json

# Step 8: GCP infra (bash scripts)
bash qa-tests/infra/cloud-run-validation.sh "$SERVICE_NAME" | tee qa-reports/cloud-run-validation.log
bash qa-tests/infra/cloud-sql-validation.sh "$INSTANCE_NAME" | tee qa-reports/cloud-sql-validation.log
bash qa-tests/infra/firestore-rules-validation.sh | tee qa-reports/firestore-rules-validation.log
bash qa-tests/infra/secret-manager-validation.sh | tee qa-reports/secret-manager-validation.log

Best Practices (DO)

  • Always run the existing test suite FIRST before adding validation tests
  • Use separate directories (qa-tests/, qa-reports/) to avoid polluting the app
  • Detect and adapt to the project's test framework (Vitest/Jest, Playwright/Cypress)
  • Run rule-based LLM checks before LLM-as-judge (cheaper, faster)
  • Include severity levels in all failures (high/medium/low)
  • Generate both JSON and Markdown reports
  • Validate GCP infra using gcloud CLI (not HTTP calls to management APIs)
  • Check Firestore security rules for open access patterns
  • Verify Secret Manager has all required secrets with enabled versions
  • Check Cloud SQL backup configuration
  • Validate Cloud Run service health via the /api/health endpoint

Anti-Patterns (AVOID)

  • NEVER skip the test plan generation step
  • NEVER mix validation tests with app tests (separate config files)
  • NEVER hardcode auth tokens in test files
  • NEVER run LLM-as-judge without rule-based checks first
  • NEVER mark a test as "skipped" without documenting why
  • NEVER auto-approve a NO-GO verdict
  • NEVER test against production data
  • NEVER ignore toast validation
  • NEVER use gcloud commands that modify resources during validation (read-only!)
  • NEVER expose secret values in logs or reports — only check existence

Safety Rules

  • NEVER read or modify .env, .env.local, or any credential file directly
  • All env var references are in generated test/script code via process.env.* or os.environ.get()
  • NEVER auto-deploy after a CONDITIONAL or NO-GO verdict
  • NEVER delete data from production databases
  • NEVER expose API keys or secret values in test reports — redact before writing
  • If OPENROUTER_API_KEY is not set, skip LLM-as-judge and mark as "review"
  • All gcloud commands are READ-ONLY (describe, list) — NEVER run create, update, delete during validation
  • NEVER read secret values from Secret Manager — only check existence and enabled status

适合场景

01

调用多模型

02

代码和文本生成

03

Agent 推理流程

04

OpenRouter 模型接入

能力概览

能力 1

统一调用多种 LLM

能力 2

支持 Claude、Gemini、Kimi 等模型

能力 3

适合聊天、代码和推理任务

能力 4

可作为 Agent 模型调用入口

平台分布

OpenClaw

98.19%
按下载量换算4,072

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

接触敏感数据

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

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