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Agent Skill · 研究检索

test-observability(测试可观察性)

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。

test-observability 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 58,150。

总安装 420周安装 17GitHub Stars 9下载 132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

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:test-observability(测试可观察性)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/test-observability
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill test-observability
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill test-observability

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。

用于辅助测试设计、自动化测试、用例整理和回归验证。适合编写单元测试、端到端测试或根据日志定位问题。需确认项目测试框架、运行命令和夹具数据后使用。test-observability 属于研究检索类 Skill,可作为该场景下的辅助能力补充。涉及浏览器或外部服务时应区分模拟环境与生产环境。

安装方式:通过 npx 从指定 GitHub 仓库添加。

来源仓库内路径:skills/test-observability

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 Codex、Claude、Cursor、Gemini CLI;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 npx skills add https://github.com/adaptationio/skrillz --skill test-observabilit…;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

test-observability 怎么安装?

在终端执行 npx skills add https://github.com/adaptationio/skrillz --skill test-observability。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

test-observability 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。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。

test-observability 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。

test-observability 是免费的吗?

来源标注的许可证是 MIT。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。

test-observability 用的人多吗?

公开数据是累计安装 420 次,近一周安装 17 次,下载 132 次,GitHub 9 星。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。

test-observability 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,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 Codex,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
test-observability

测试可观察性 · 本页

4209接触敏感数据MIT未通过

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

Test Observability

Overview

Connect your Playwright tests to your observability stack (Grafana, Prometheus, Loki, Tempo) for:

  • Trace Correlation: See full trace from browser click → backend → database
  • Test Metrics: Dashboard with pass rates, durations, flakiness
  • Log Aggregation: Test logs alongside application logs
  • Failure Analysis: Quickly identify root cause across distributed systems

Architecture

┌─────────────────┐     ┌──────────────────┐     ┌─────────────────┐
│  Playwright     │────▶│  OTEL Collector  │────▶│  Tempo (Traces) │
│  Tests          │     │                  │────▶│  Loki (Logs)    │
│                 │     │                  │────▶│  Prometheus     │
└─────────────────┘     └──────────────────┘     └─────────────────┘
                                                          │
                                                          ▼
                                                  ┌─────────────────┐
                                                  │    Grafana      │
                                                  │  Test Dashboard │
                                                  └─────────────────┘

Quick Start: OTEL Reporter

1. Install Dependencies

npm install playwright-opentelemetry-reporter @opentelemetry/sdk-node @opentelemetry/exporter-trace-otlp-http

2. Configure Reporter

// playwright.config.ts
import { defineConfig } from '@playwright/test';

export default defineConfig({
  reporter: [
    ['html'],
    ['playwright-opentelemetry-reporter', {
      serviceName: 'playwright-tests',
      endpoint: process.env.OTEL_ENDPOINT || 'http://localhost:4318/v1/traces',
    }],
  ],
});

3. Run Tests

# With local OTEL collector
OTEL_ENDPOINT=http://localhost:4318/v1/traces npx playwright test

# With Railway OTEL collector
OTEL_ENDPOINT=http://otel-collector.railway.internal:4318/v1/traces npx playwright test

4. View in Grafana

  • Open Grafana → Explore → Tempo
  • Search for service.name = "playwright-tests"
  • See test spans with duration, status, steps

Tracetest Integration (Advanced)

Tracetest enables trace-based testing - assert on any span in the distributed trace.

Installation

npm install @tracetest/playwright

Configuration

// playwright.config.ts
import { defineConfig } from '@playwright/test';

export default defineConfig({
  reporter: [
    ['html'],
    ['@tracetest/playwright', {
      serverUrl: process.env.TRACETEST_URL || 'http://localhost:11633',
      apiKey: process.env.TRACETEST_API_KEY,
    }],
  ],
});

Trace-Based Assertions

// tests/checkout.spec.ts
import { test, expect } from '@playwright/test';
import { Tracetest } from '@tracetest/playwright';

test('checkout creates order', async ({ page }) => {
  const tracetest = new Tracetest();

  // Start trace capture
  await tracetest.capture();

  // Perform user action
  await page.goto('/checkout');
  await page.click('#place-order');
  await expect(page.locator('.order-confirmation')).toBeVisible();

  // Assert on backend trace!
  await tracetest.assertOnTrace({
    assertions: [
      // API response time
      {
        selector: 'span[name="POST /api/orders"]',
        assertion: 'attr:http.status_code = 201',
      },
      // Database query time
      {
        selector: 'span[name="INSERT orders"]',
        assertion: 'attr:db.duration < 100ms',
      },
      // Payment service
      {
        selector: 'span[name="payment.process"]',
        assertion: 'attr:payment.status = "success"',
      },
    ],
  });
});

Benefits

  • 80% faster debugging: See exactly where failures occur
  • Full visibility: Browser → API → Database → Services
  • Backend assertions: Test database queries, service calls
  • Performance validation: Assert on span durations

Grafana Dashboard

Import Dashboard

  1. Open Grafana → Dashboards → Import
  2. Upload dashboards/test-results-dashboard.json
  3. Select Prometheus and Tempo data sources

Key Panels

PanelQueryPurpose
Pass Ratesum(playwright_test_passed) / sum(playwright_test_total)Overall health
Test Duration (p95)histogram_quantile(0.95, playwright_test_duration_bucket)Performance
Failed Testsplaywright_test_failed{status="failed"}Quick triage
Flaky Testsplaywright_test_retries > 1Identify flakiness
Slowest Teststopk(10, playwright_test_duration)Optimization targets

Custom Metrics

// Export custom metrics from tests
import { test } from '@playwright/test';
import { metrics } from '@opentelemetry/api';

const testMeter = metrics.getMeter('playwright-tests');
const testDuration = testMeter.createHistogram('test.duration');
const testCounter = testMeter.createCounter('test.count');

test('custom metrics', async ({ page }) => {
  const start = Date.now();

  await page.goto('/');
  await page.click('.action');

  // Record custom metric
  testDuration.record(Date.now() - start, {
    test: 'homepage-action',
    browser: 'chromium',
  });

  testCounter.add(1, { status: 'passed' });
});

Railway Integration

Connect to your existing Railway observability stack.

Environment Variables

# Set in Railway service or .env
OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector.railway.internal:4318
OTEL_SERVICE_NAME=playwright-tests

Playwright Config

// playwright.config.ts
export default defineConfig({
  reporter: [
    ['playwright-opentelemetry-reporter', {
      serviceName: process.env.OTEL_SERVICE_NAME || 'playwright-tests',
      endpoint: process.env.OTEL_EXPORTER_OTLP_ENDPOINT,
      headers: {
        // Add auth if needed
        'Authorization': `Bearer ${process.env.OTEL_AUTH_TOKEN}`,
      },
    }],
  ],
});

Verify Connection

# Test OTEL collector is receiving data
curl -X POST http://otel-collector.railway.internal:4318/v1/traces \
  -H "Content-Type: application/json" \
  -d '{"resourceSpans":[]}'
# Should return 200 OK

Log Correlation

Send test logs to Loki alongside traces.

Winston + OTEL

// tests/fixtures/logger.ts
import winston from 'winston';
import { OTLPLogExporter } from '@opentelemetry/exporter-logs-otlp-http';

export const logger = winston.createLogger({
  transports: [
    new winston.transports.Console(),
    // Send to OTEL collector → Loki
    new OTLPLogTransport({
      endpoint: process.env.OTEL_ENDPOINT,
    }),
  ],
});

// In tests
import { logger } from './fixtures/logger';

test('with logging', async ({ page }) => {
  logger.info('Starting test', { test: 'checkout' });

  await page.goto('/checkout');
  logger.debug('Page loaded', { url: page.url() });

  await page.click('#submit');
  logger.info('Order submitted');
});

View Logs in Grafana

1. Grafana → Explore → Loki
2. Query: {service="playwright-tests"}
3. Filter: |= "error" or |json | level="error"

Alerting

Set up alerts for test failures.

Prometheus Alert Rules

# alerts/test-alerts.yml
groups:
  - name: playwright-tests
    rules:
      - alert: TestFailureRate
        expr: |
          (sum(rate(playwright_test_failed[5m])) / sum(rate(playwright_test_total[5m]))) > 0.1
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "High test failure rate (>10%)"

      - alert: TestDurationSpike
        expr: |
          histogram_quantile(0.95, playwright_test_duration_bucket) > 30
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Test duration p95 > 30 seconds"

Grafana Alert

  1. Edit dashboard panel
  2. Alert tab → Create alert
  3. Condition: avg() of A is above 0.1
  4. Notifications: Slack, email, PagerDuty

Workflow: Debugging with Traces

1. Test Fails in CI

❌ tests/checkout.spec.ts:15 - Order creation failed
   Expected: Order confirmation visible
   Actual: Error page shown

2. Find Trace in Grafana

Grafana → Explore → Tempo
Query: service.name="playwright-tests" AND name="checkout.spec.ts"

3. Analyze Trace

Browser click "Place Order" (50ms)
  └─ POST /api/orders (200ms)
       └─ Validate cart (10ms)
       └─ Process payment ❌ (timeout after 30s)
           └─ Payment gateway unreachable
       └─ Create order (skipped)

4. Root Cause

Found: Payment gateway timeout caused order failure.

Without traces: Would have debugged browser-side for hours.


Best Practices

1. Add Trace Context to Tests

import { context, trace } from '@opentelemetry/api';

test('with trace context', async ({ page }) => {
  const tracer = trace.getTracer('playwright');

  await tracer.startActiveSpan('checkout-flow', async (span) => {
    span.setAttribute('test.name', 'checkout');
    span.setAttribute('test.browser', 'chromium');

    await page.goto('/checkout');
    await page.click('#submit');

    span.setStatus({ code: 1 }); // OK
    span.end();
  });
});

2. Propagate Context to Backend

// Ensure trace ID passes from browser to backend
test('trace propagation', async ({ page }) => {
  // Get current trace ID
  const traceId = trace.getActiveSpan()?.spanContext().traceId;

  // Add to request headers
  await page.route('**/*', route => {
    route.continue({
      headers: {
        ...route.request().headers(),
        'traceparent': `00-${traceId}-${spanId}-01`,
      },
    });
  });
});

3. Tag Tests for Filtering

test('with tags', async ({ page }) => {
  const span = trace.getActiveSpan();
  span?.setAttribute('test.suite', 'e2e');
  span?.setAttribute('test.priority', 'critical');
  span?.setAttribute('test.feature', 'checkout');

  // Now filter in Grafana: test.feature="checkout"
});

References

  • references/tracetest-integration.md - Full Tracetest setup
  • references/otel-reporter-setup.md - OTEL reporter configuration
  • references/grafana-dashboards.md - Dashboard creation guide
  • dashboards/test-results-dashboard.json - Ready-to-import dashboard

Test observability transforms debugging from guesswork to precision - see the full picture from click to database.

平台分布

Claude Code

31.23%
按下载量换算41

github-copilot

20.89%
按下载量换算28

neovate

18.93%
按下载量换算25

Antigravity

13.33%
按下载量换算18

kilo

8.77%
按下载量换算12

command-code

3.63%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

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

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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