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Agent Skill · 研究检索

observability-stack-setup(可观测性堆栈设置)

observability-stack-setup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

observability-stack-setup 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,权限为需要联网;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 73,492。

总安装 54周安装 17GitHub Stars 9下载 140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:observability-stack-setup(可观测性堆栈设置)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/observability-stack-setup
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill observability-stack-setup
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 observability-stack-setup

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。

用于查找、检索和筛选可观测性堆栈设置相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。适用于需要根据关键词或任务场景从来源线索中筛选相关信息的场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用。

安装前建议确认权限范围和维护状态,注意可能触发联网或文件读写操作。observability-stack-setup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/observability-stack-setup

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 observability-sta…;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

    它需要需要联网,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

observability-stack-setup 怎么安装?

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

observability-stack-setup 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。

observability-stack-setup 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

observability-stack-setup 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。

observability-stack-setup 用的人多吗?

公开数据是累计安装 54 次,近一周安装 17 次,下载 140 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。

observability-stack-setup 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

  • 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

  • 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
observability-stack-setup

可观测性堆栈设置 · 本页

549需要联网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

Observability Stack Setup

Automated deployment of the complete LGTM (Loki, Grafana, Tempo, Mimir/Prometheus) + Alloy observability stack for Claude Code monitoring.

When to Use

  • Setting up Claude Code observability for the first time
  • Deploying local development observability infrastructure
  • Need to monitor Claude Code operations (tool calls, costs, errors, performance)
  • Want pre-configured dashboards for Claude Code analysis

What This Skill Does

Automatically deploys and configures:

  • Grafana Alloy: OTEL collector (receives telemetry from Claude Code)
  • Loki: Log aggregation (stores all Claude Code logs)
  • Tempo: Distributed tracing (tracks tool calls, API requests)
  • Prometheus: Metrics storage (token usage, costs, performance)
  • Grafana: Visualization with pre-built Claude Code dashboards

Quick Start

Prerequisites

# Verify Docker installed
docker --version  # Requires ≥ 20.10

# Verify Docker Compose installed
docker compose version  # Requires ≥ 2.0

Deploy Stack

Invoke this skill and it will:

  1. Create .observability/ directory structure
  2. Generate all configuration files
  3. Start the stack with docker compose up -d
  4. Import Claude Code dashboards
  5. Verify all services healthy
  6. Output access URLs and next steps

Estimated time: 5-10 minutes

What Gets Deployed

Services

ServicePortPurpose
Grafana3000Dashboards and visualization
Grafana Alloy4317 (gRPC), 4318 (HTTP), 12345 (metrics)OTLP receiver
Loki3100Log storage and querying
Tempo3200Trace storage and querying
Prometheus9090Metrics storage and querying

Volumes

All data persisted in .observability/volumes/:

  • alloy-data/ - Alloy configuration and state
  • loki-data/ - Log storage
  • tempo-data/ - Trace storage
  • prometheus-data/ - Metrics storage
  • grafana-data/ - Dashboards, datasources, settings

Pre-built Dashboards

  1. Claude Code Overview

- Session count, duration, active time - Token usage and cost trends - Error rates by tool - Top operations

  1. Tool Performance Matrix

- Call counts per tool - Average/P95/P99 latency - Success/failure rates - Most common errors

  1. Cost Analysis

- Daily/weekly/monthly costs - Token usage breakdown - Budget tracking - Cost projections

  1. Error Tracking

- Error timeline - Error types distribution - Affected tools - Recent error details

  1. Session Analysis

- Session duration distribution - Sessions per day/week - Conversation depth - Active vs idle time

Workflow

Step 1: Verify Prerequisites

Checks Docker and Docker Compose installed with compatible versions.

Step 2: Create Directory Structure

.observability/
├── docker-compose.yml          # Main stack definition
├── alloy/
│   └── config.yaml            # OTLP receiver + exporters config
├── grafana/
│   ├── datasources/
│   │   ├── loki.yml           # Loki datasource
│   │   ├── prometheus.yml     # Prometheus datasource
│   │   └── tempo.yml          # Tempo datasource
│   └── dashboards/
│       ├── claude-code-overview.json
│       ├── tool-performance.json
│       ├── cost-analysis.json
│       ├── error-tracking.json
│       └── session-analysis.json
└── volumes/                   # Persistent data
    ├── alloy/
    ├── loki/
    ├── tempo/
    ├── prometheus/
    └── grafana/

Step 3: Generate Configurations

Creates all configuration files from templates (see references/ for details).

Step 4: Start Stack

docker compose -f .observability/docker-compose.yml up -d

Step 5: Health Checks

Verifies each service:

  • Alloy: http://localhost:12345/metrics
  • Loki: http://localhost:3100/ready
  • Tempo: http://localhost:3200/ready
  • Prometheus: http://localhost:9090/-/healthy
  • Grafana: http://localhost:3000/api/health

Step 6: Import Dashboards

Uses Grafana API to import all pre-built dashboards.

Step 7: Output Success

Displays:

  • Access URLs for all services
  • Default credentials (admin/admin)
  • OTLP endpoint for Claude Code configuration
  • Next step: Enable Claude Code telemetry

Configuration Details

Grafana Alloy (OTLP Collector)

Receives telemetry from Claude Code via OTLP protocol:

  • gRPC endpoint: localhost:4317
  • HTTP endpoint: localhost:4318

Routes telemetry to backends:

  • Logs → Loki
  • Traces → Tempo
  • Metrics → Prometheus

Retention Policies

Default: 365 days (configurable in docker-compose.yml)

  • Loki: 365 days (-ingester.max-chunk-age=365d)
  • Tempo: 365 days (-storage.trace.local.path retention)
  • Prometheus: 365 days (--storage.tsdb.retention.time=365d)

Privacy Settings

Full logging enabled (no redactions):

  • User prompts: Full content logged
  • File paths: Complete paths visible
  • Tool execution: Full command details
  • API requests: All parameters visible

This configuration assumes observability for personal use with full data access.

Troubleshooting

Port Already in Use

If ports 3000, 3100, 3200, 4317, 4318, 9090, or 12345 are in use:

Option 1: Stop conflicting services

# Find process using port
sudo lsof -i :3000
# Stop the process
sudo kill <PID>

Option 2: Modify ports in docker-compose.yml

Services Not Starting

Check logs:

docker compose -f .observability/docker-compose.yml logs [service_name]

Common issues:

  • Insufficient disk space (check with df -h)
  • Insufficient memory (Alloy needs ~512MB, others ~256MB each)
  • Permission issues on volume directories

Dashboards Not Appearing

Manually import:

# Copy dashboard JSON to container
docker cp .observability/grafana/dashboards/claude-code-overview.json \
  observability-grafana-1:/tmp/

# Import via API
curl -X POST http://localhost:3000/api/dashboards/db \
  -H "Content-Type: application/json" \
  -u admin:admin \
  -d @.observability/grafana/dashboards/claude-code-overview.json

Next Steps

After stack is running:

  1. Enable Claude Code telemetry: Use claude-code-telemetry-enable skill
  2. Use Claude Code: Run tools, read files, execute commands
  3. View dashboards: Open http://localhost:3000, explore pre-built dashboards
  4. Verify data flowing: Check Grafana → Explore → Loki/Prometheus/Tempo

Stopping the Stack

Graceful shutdown (preserves data):

docker compose -f .observability/docker-compose.yml down

Complete removal (deletes data):

docker compose -f .observability/docker-compose.yml down -v

References

  • references/docker-compose-full.yml - Complete Docker Compose configuration
  • references/alloy-config.yaml - Grafana Alloy OTLP receiver configuration
  • references/grafana-datasources/ - Datasource YAML configurations
  • references/dashboards/ - Pre-built dashboard JSON files
  • references/troubleshooting.md - Common issues and solutions

Scripts

  • scripts/setup-stack.sh - Main setup script (automated deployment)
  • scripts/verify-health.sh - Health check all services
  • scripts/import-dashboards.sh - Import Grafana dashboards

Version Information

Component Versions (latest as of 2025-11-22):

  • Grafana: 11.5.2
  • Grafana Alloy: 1.5.0
  • Loki: 3.4.2
  • Tempo: 2.7.1
  • Prometheus: 2.55.0

All versions pinned in docker-compose.yml for reproducibility.

平台分布

github-copilot

30.71%
按下载量换算43

Claude Code

24.45%
按下载量换算34

mcpjam

18.03%
按下载量换算25

moltbot

11.18%
按下载量换算16

windsurf

7.51%
按下载量换算11

zencoder

3.7%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

未通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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