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prometheusPrometheus 监控

Agent Skill

prometheus 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

71,482

周安装

2,920

GitHub Stars

2

下载量

22,893
OpenClaw

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

MIT-0

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:prometheus(Prometheus 监控)
来源仓库:https://github.com/akellacom/prometheus
安装命令:
openclaw skills install prometheus
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 prometheus

简介

prometheus 查询监控数据,检查服务器指标、CPU/内存使用和系统健康状况。

  • 适合需要运维监控、资源告警和性能诊断的 OpenClaw 用户。
  • 可获取磁盘空间、进程状态和网络连接等关键指标。
  • 安装命令为 openclaw skills install prometheus,建议确认数据源地址和时间范围。
  • 使用前需评估是否涉及敏感系统信息读取或高频查询影响性能。

SKILL.md

name
prometheus
description
Query Prometheus monitoring data to check server metrics, resource usage, and system health. Use when the user asks about server status, disk space, CPU/memory usage, network stats, or any metrics collected by Prometheus. Supports multiple Prometheus instances with aggregated queries, config file or environment variables, and HTTP Basic Auth.

Prometheus Skill

Query Prometheus monitoring data from one or multiple instances. Supports federation across multiple Prometheus servers with a single command.

Quick Start

1. Initial Setup

Run the interactive configuration wizard:

cd ~/.openclaw/workspace/skills/prometheus
node scripts/cli.js init

This will create a prometheus.json config file in your OpenClaw workspace (~/.openclaw/workspace/prometheus.json).

2. Start Querying

# Query default instance
node scripts/cli.js query 'up'

# Query all instances at once
node scripts/cli.js query 'up' --all

# List configured instances
node scripts/cli.js instances

Configuration

Config File Location

By default, the skill looks for config in your OpenClaw workspace:

~/.openclaw/workspace/prometheus.json

Priority order:

  1. Path from PROMETHEUS_CONFIG environment variable
  2. ~/.openclaw/workspace/prometheus.json
  3. ~/.openclaw/workspace/config/prometheus.json
  4. ./prometheus.json (current directory)
  5. ~/.config/prometheus/config.json

Config Format

Create prometheus.json in your workspace (or use node cli.js init):

{
  "instances": [
    {
      "name": "production",
      "url": "https://prometheus.example.com",
      "user": "admin",
      "password": "secret"
    },
    {
      "name": "staging",
      "url": "http://prometheus-staging:9090"
    }
  ],
  "default": "production"
}

Fields:

  • name — unique identifier for the instance
  • url — Prometheus server URL
  • user / password — optional HTTP Basic Auth credentials
  • default — which instance to use when none specified

Environment Variables (Legacy)

For single-instance setups, you can use environment variables:

export PROMETHEUS_URL=https://prometheus.example.com
export PROMETHEUS_USER=admin        # optional
export PROMETHEUS_PASSWORD=secret   # optional

Usage

Global Flags

FlagDescription
-c, --config <path>Path to config file
-i, --instance <name>Target specific instance
-a, --allQuery all configured instances

Commands

Setup

# Interactive configuration wizard
node scripts/cli.js init

Query Metrics

cd ~/.openclaw/workspace/skills/prometheus

# Query default instance
node scripts/cli.js query 'up'

# Query specific instance
node scripts/cli.js query 'up' -i staging

# Query ALL instances at once
node scripts/cli.js query 'up' --all

# Custom config file
node scripts/cli.js query 'up' -c /path/to/config.json

Common Queries

Disk space usage:

node scripts/cli.js query '100 - (node_filesystem_avail_bytes / node_filesystem_size_bytes * 100)' --all

CPU usage:

node scripts/cli.js query '100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)' --all

Memory usage:

node scripts/cli.js query '(node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes) / node_memory_MemTotal_bytes * 100' --all

Load average:

node scripts/cli.js query 'node_load1' --all

List Configured Instances

node scripts/cli.js instances

Output:

{
  "default": "production",
  "instances": [
    { "name": "production", "url": "https://prometheus.example.com", "hasAuth": true },
    { "name": "staging", "url": "http://prometheus-staging:9090", "hasAuth": false }
  ]
}

Other Commands

# List all metrics matching pattern
node scripts/cli.js metrics 'node_memory_*'

# Get label names
node scripts/cli.js labels --all

# Get values for a label
node scripts/cli.js label-values instance --all

# Find time series
node scripts/cli.js series '{__name__=~"node_cpu_.*", instance=~".*:9100"}' --all

# Get active alerts
node scripts/cli.js alerts --all

# Get scrape targets
node scripts/cli.js targets --all

Multi-Instance Output Format

When using --all, results include data from all instances:

{
  "resultType": "vector",
  "results": [
    {
      "instance": "production",
      "status": "success",
      "resultType": "vector",
      "result": [...]
    },
    {
      "instance": "staging",
      "status": "success",
      "resultType": "vector",
      "result": [...]
    }
  ]
}

Errors on individual instances don't fail the entire query — they appear with "status": "error" in the results array.

Common Queries Reference

MetricPromQL Query
Disk free %node_filesystem_avail_bytes / node_filesystem_size_bytes * 100
Disk used %100 - (node_filesystem_avail_bytes / node_filesystem_size_bytes * 100)
CPU idle %avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100
Memory used %(node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes) / node_memory_MemTotal_bytes * 100
Network RXrate(node_network_receive_bytes_total[5m])
Network TXrate(node_network_transmit_bytes_total[5m])
Uptimenode_time_seconds - node_boot_time_seconds
Service upup

Notes

  • Time range defaults to last 1 hour for instant queries
  • Use range queries [5m] for rate calculations
  • All queries return JSON with data.result containing the results
  • Instance labels typically show host:port format
  • When using --all, queries run in parallel for faster results
  • Config is stored outside the skill directory so it persists across skill updates

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

73.38%
按下载量换算16,799

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。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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