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Agent Skill · 研究检索

victoriametrics(victoriametrics 数据库)

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。

victoriametrics 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 20,494。

总安装 5,192周安装 208GitHub Stars 公开资料未说明下载 1,681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
1.1.0

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

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。

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 victoriametrics;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

victoriametrics 怎么安装?

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

victoriametrics 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。

victoriametrics 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。

victoriametrics 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。

victoriametrics 用的人多吗?

公开数据是累计安装 5,192 次,近一周安装 208 次,下载 1,681 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。

victoriametrics 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

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
victoriametrics

victoriametrics 数据库 · 本页

5,192—接触敏感数据MIT-0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

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.

平台分布

OpenClaw

88.68%
按下载量换算1,491

安全审计

VirusTotal

通过

ClawScan

通过

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

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。目前只有一个公开来源,建议同时核对源仓库。

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