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victoriametricsvictoriametrics 数据库

Agent Skill

victoriametrics 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

5,192

周安装

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下载量

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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:victoriametrics(victoriametrics 数据库)
来源仓库:https://github.com/yangjinzhao/victoriametrics
安装命令:
openclaw skills install victoriametrics
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 victoriametrics

简介

用于查询和管理 VictoriaMetrics 时间序列数据库实例。

  • 支持单节点部署和多租户集群环境下的指标管理。
  • 适合监控系统性能、资源使用及自定义指标查询。
  • 使用前需确保网络连通性和 API 访问权限配置正确。
  • 建议查阅官方文档了解查询语法与安全策略。victoriametrics 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
victoriametrics
description
Query and manage VictoriaMetrics time-series database instances. Supports both single-node and cluster deployments with multi-tenancy. Use when the user asks about metrics, monitoring, PromQL queries, VictoriaMetrics, time-series data, or mentions "vmselect", "vminsert", "vmstorage", or needs to query monitoring metrics from VictoriaMetrics instances. Also use for common monitoring tasks like checking CPU usage, memory, disk space, GPU metrics, service health, or custom PromQL queries.

VictoriaMetrics

Query and manage VictoriaMetrics time-series database instances. Supports both single-node and cluster deployments with multi-tenancy.

Security Notice

This skill requires the following permissions for legitimate functionality:

  • HTTP/HTTPS requests: Query VictoriaMetrics API endpoints
  • File system access: Read configuration files (victoriametrics.json)
  • Base64 encoding: HTTP Basic Authentication for secure API access

All network operations are user-initiated and only connect to user-configured VictoriaMetrics instances. No data is sent to external services.

Quick Start

1. Initial Setup

Run the interactive configuration wizard:

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

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

Priority order:

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

Config Format

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

Single-Node Deployment

{
  "instances": [
    {
      "name": "production",
      "type": "single",
      "url": "http://victoriametrics:8428",
      "user": "admin",
      "password": "secret"
    }
  ],
  "default": "production"
}

Cluster Deployment (Multi-Tenant)

{
  "instances": [
    {
      "name": "cluster-prod",
      "type": "cluster",
      "url": "http://vmselect:8481",
      "accountID": 0,
      "user": "admin",
      "password": "secret"
    },
    {
      "name": "cluster-tenant42",
      "type": "cluster",
      "url": "http://vmselect:8481",
      "accountID": 42,
      "projectID": 9
    }
  ],
  "default": "cluster-prod"
}

Fields:

  • name — unique identifier for the instance
  • type"single" or "cluster" (default: "single")
  • url — VictoriaMetrics server URL

- Single-node: http://victoriametrics:8428 - Cluster: http://vmselect:8481

  • accountID — tenant account ID (cluster only, default: 0)
  • projectID — tenant project ID (cluster only, optional)
  • 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 VICTORIAMETRICS_URL=http://victoriametrics:8428
export VICTORIAMETRICS_USER=admin
export VICTORIAMETRICS_PASSWORD=secret

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/victoriametrics

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

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

# 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

GPU memory usage (NVIDIA):

node scripts/cli.js query 'nvidia_gpu_memory_used_bytes / nvidia_gpu_memory_total_bytes * 100' --all

GPU temperature:

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

List Configured Instances

node scripts/cli.js instances

Output:

{
  "default": "cluster-prod",
  "instances": [
    {
      "name": "cluster-prod",
      "type": "cluster",
      "url": "http://vmselect:8481",
      "accountID": 0,
      "hasAuth": true
    },
    {
      "name": "single-dev",
      "type": "single",
      "url": "http://localhost:8428",
      "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

# Check instance health
node scripts/cli.js health -i cluster-prod

Multi-Instance Output Format

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

{
  "resultType": "vector",
  "results": [
    {
      "instance": "cluster-prod",
      "status": "success",
      "resultType": "vector",
      "result": [...]
    },
    {
      "instance": "single-dev",
      "status": "success",
      "resultType": "vector",
      "result": [...]
    }
  ]
}

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

Deployment Types

Single-Node

  • Simpler setup and operation
  • URL format: http://<victoriametrics>:8428/api/v1/query
  • Suitable for ingestion rates < 1M data points per second
  • Can be set up in High Availability mode

Cluster

  • Horizontal scalability
  • URL format: http://<vmselect>:8481/select/<accountID>/prometheus/api/v1/query
  • Multi-tenancy support via accountID and projectID
  • Components: vmstorage, vminsert, vmselect
  • Each component scales independently

Supported Metric Collectors

This skill supports multiple metric collection agents:

  • node_exporter - Standard Prometheus node exporter
  • categraf - Flashcat's telemetry collector
  • DCGM - NVIDIA GPU metrics
  • Custom exporters - Any Prometheus-compatible exporter

Quick Comparison

Metric Typenode_exportercategraf
CPU Usage100 - avg(irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100cpu_usage_active{cpu="cpu-total"}
Memory Usage(1 - node_memory_MemAvailable_bytes/node_memory_MemTotal_bytes) * 100mem_used_percent
Disk Usage100 - (node_filesystem_avail_bytes/node_filesystem_size_bytes * 100)disk_used_percent
System Loadnode_load1system_load1

Universal Queries (Auto-detect)

# CPU usage (works with both node_exporter and categraf)
node scripts/cli.js query 'cpu_usage_active{cpu="cpu-total"} or (100 - (avg by (instance) (irate(node_cpu_seconds_total{mode="idle"}[5m])) * 100))'

# Memory usage (works with both)
node scripts/cli.js query 'mem_used_percent or ((node_memory_MemTotal_bytes - node_memory_MemAvailable_bytes) / node_memory_MemTotal_bytes * 100)'

# Disk usage (works with both)
node scripts/cli.js query 'disk_used_percent or (100 - (node_filesystem_avail_bytes / node_filesystem_size_bytes * 100))'

For complete query examples for all metric types, see references/common_queries.md.

Common Queries Reference

node_exporter Metrics

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

categraf Metrics

MetricPromQL Query
CPU usage %cpu_usage_active{cpu="cpu-total"}
Memory used %mem_used_percent
Disk used %disk_used_percent
Network RXrate(net_bytes_recv[5m])
Network TXrate(net_bytes_sent[5m])
System load 1msystem_load1
System uptimesystem_uptime

GPU Metrics (DCGM)

MetricPromQL Query
GPU memory used %DCGM_FI_DEV_FB_USED / (DCGM_FI_DEV_FB_FREE + DCGM_FI_DEV_FB_USED) * 100
GPU temperatureDCGM_FI_DEV_GPU_TEMP
GPU utilizationDCGM_FI_DEV_GPU_UTIL
GPU power usageDCGM_FI_DEV_POWER_USAGE

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
  • For cluster deployments, the accountID and projectID are automatically inserted into the URL path

VictoriaMetrics API Differences

VictoriaMetrics is compatible with Prometheus API but includes additional features:

  • MetricsQL: Extended PromQL with additional functions
  • Multi-tenancy: Native support in cluster mode
  • High cardinality: Better performance with many time series
  • Storage efficiency: Better compression than Prometheus

For detailed API documentation, see references/api_reference.md.

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

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按下载量换算1,491

安全审计

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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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