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Agent Skill · 研究检索

prometheus-devops(普罗米修斯 devops)

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

prometheus-devops 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;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 5,021。

总安装 28,299周安装 1,156GitHub Stars 1下载 9,156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
1.0.0

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:prometheus-devops(普罗米修斯 devops)
来源仓库:https://github.com/wpank/prometheus-devops
安装命令:
openclaw skills install prometheus-devops
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-devops

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。

Prometheus 监控 — 抓取配置、服务发现、记录规则、警报规则以及基础设施和应用程序指标的生产部署。

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 prometheus-devops;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

prometheus-devops 怎么安装?

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

prometheus-devops 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。

prometheus-devops 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。

prometheus-devops 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。

prometheus-devops 用的人多吗?

公开数据是累计安装 28,299 次,近一周安装 1,156 次,下载 9,156 次,GitHub 1 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。

prometheus-devops 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

  • 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

  • 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
prometheus-devops

普罗米修斯 devops · 本页

28,2991需要联网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
prometheus
model
fast
version
1.0.0
description
>
category
devops
tags
[prometheus, monitoring, metrics, alerting, observability]
author
skills-factory

Prometheus

Production Prometheus setup covering scrape configuration, service discovery, recording rules, alert rules, and operational best practices for infrastructure and application monitoring.

When to Use

ScenarioExample
Set up metrics collectionNew service needs Prometheus scraping
Configure service discoveryK8s pods, file-based, or static targets
Create recording rulesPre-compute expensive PromQL queries
Design alert rulesSLO-based alerts for availability and latency
Production deploymentHA setup with retention and storage planning
Troubleshoot scrapingTargets down, metrics missing, relabeling issues

Architecture

Applications ──(/metrics)──→ Prometheus Server ──→ AlertManager → Slack/PD
      ↑                           │
  client libraries          ├──→ Grafana (dashboards)
  (prom client)             └──→ Thanos/Cortex (long-term storage)

Installation

Kubernetes (Helm)

helm repo add prometheus-community \
  https://prometheus-community.github.io/helm-charts
helm install prometheus prometheus-community/kube-prometheus-stack \
  --namespace monitoring --create-namespace \
  --set prometheus.prometheusSpec.retention=30d \
  --set prometheus.prometheusSpec.storageVolumeSize=50Gi

Core Configuration

prometheus.yml

global:
  scrape_interval: 15s
  evaluation_interval: 15s
  external_labels:
    cluster: production
    region: us-west-2

alerting:
  alertmanagers:
    - static_configs:
        - targets: ["alertmanager:9093"]

rule_files:
  - /etc/prometheus/rules/*.yml

scrape_configs:
  # Self-monitoring
  - job_name: prometheus
    static_configs:
      - targets: ["localhost:9090"]

  # Node exporters
  - job_name: node-exporter
    static_configs:
      - targets: ["node1:9100", "node2:9100", "node3:9100"]
    relabel_configs:
      - source_labels: [__address__]
        target_label: instance
        regex: "([^:]+)(:[0-9]+)?"
        replacement: "${1}"

  # Application metrics (TLS)
  - job_name: my-app
    scheme: https
    metrics_path: /metrics
    tls_config:
      ca_file: /etc/prometheus/ca.crt
    static_configs:
      - targets: ["app1:9090", "app2:9090"]

Service Discovery

Kubernetes Pods (Annotation-Based)

scrape_configs:
  - job_name: kubernetes-pods
    kubernetes_sd_configs:
      - role: pod
    relabel_configs:
      - source_labels:
          [__meta_kubernetes_pod_annotation_prometheus_io_scrape]
        action: keep
        regex: true
      - source_labels:
          [__meta_kubernetes_pod_annotation_prometheus_io_path]
        action: replace
        target_label: __metrics_path__
        regex: (.+)
      - source_labels:
          [__address__, __meta_kubernetes_pod_annotation_prometheus_io_port]
        action: replace
        regex: ([^:]+)(?::\d+)?;(\d+)
        replacement: $1:$2
        target_label: __address__
      - source_labels: [__meta_kubernetes_namespace]
        target_label: namespace
      - source_labels: [__meta_kubernetes_pod_name]
        target_label: pod

Pod annotations to enable scraping:

metadata:
  annotations:
    prometheus.io/scrape: "true"
    prometheus.io/port: "9090"
    prometheus.io/path: "/metrics"

File-Based Discovery

scrape_configs:
  - job_name: file-sd
    file_sd_configs:
      - files: ["/etc/prometheus/targets/*.json"]
        refresh_interval: 5m

targets/production.json:

[{
  "targets": ["app1:9090", "app2:9090"],
  "labels": { "env": "production", "service": "api" }
}]

Discovery Method Comparison

MethodBest ForDynamic
static_configsFixed infrastructure, devNo
file_sd_configsCM-managed inventoriesYes (file watch)
kubernetes_sd_configsK8s workloadsYes (API watch)
consul_sd_configsConsul service meshYes (Consul watch)
ec2_sd_configsAWS EC2 instancesYes (API poll)

Recording Rules

Pre-compute expensive queries for dashboard and alert performance:

# /etc/prometheus/rules/recording_rules.yml
groups:
  - name: api_metrics
    interval: 15s
    rules:
      - record: job:http_requests:rate5m
        expr: sum by (job) (rate(http_requests_total[5m]))

      - record: job:http_errors:rate5m
        expr: sum by (job) (rate(http_requests_total{status=~"5.."}[5m]))

      - record: job:http_error_rate:ratio
        expr: job:http_errors:rate5m / job:http_requests:rate5m

      - record: job:http_duration:p95
        expr: >
          histogram_quantile(0.95,
            sum by (job, le) (rate(http_request_duration_seconds_bucket[5m]))
          )

  - name: resource_metrics
    interval: 30s
    rules:
      - record: instance:node_cpu:utilization
        expr: >
          100 - (avg by (instance)
            (rate(node_cpu_seconds_total{mode="idle"}[5m])) * 100)

      - record: instance:node_memory:utilization
        expr: >
          100 - ((node_memory_MemAvailable_bytes
            / node_memory_MemTotal_bytes) * 100)

      - record: instance:node_disk:utilization
        expr: >
          100 - ((node_filesystem_avail_bytes
            / node_filesystem_size_bytes) * 100)

Naming Convention

level:metric_name:operations
PartExampleMeaning
leveljob:, instance:Aggregation level
metric_namehttp_requestsBase metric
operations:rate5m, :ratioApplied functions

Alert Rules

# /etc/prometheus/rules/alert_rules.yml
groups:
  - name: availability
    rules:
      - alert: ServiceDown
        expr: up{job="my-app"} == 0
        for: 1m
        labels:
          severity: critical
        annotations:
          summary: "{{ $labels.instance }} is down"
          description: "{{ $labels.job }} down for >1 minute"

      - alert: HighErrorRate
        expr: job:http_error_rate:ratio > 0.05
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "Error rate {{ $value | humanizePercentage }} for {{ $labels.job }}"

      - alert: HighP95Latency
        expr: job:http_duration:p95 > 1
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "P95 latency {{ $value }}s for {{ $labels.job }}"

  - name: resources
    rules:
      - alert: HighCPU
        expr: instance:node_cpu:utilization > 80
        for: 5m
        labels: { severity: warning }
        annotations:
          summary: "CPU {{ $value }}% on {{ $labels.instance }}"

      - alert: HighMemory
        expr: instance:node_memory:utilization > 85
        for: 5m
        labels: { severity: warning }
        annotations:
          summary: "Memory {{ $value }}% on {{ $labels.instance }}"

      - alert: DiskSpaceLow
        expr: instance:node_disk:utilization > 90
        for: 5m
        labels: { severity: critical }
        annotations:
          summary: "Disk {{ $value }}% on {{ $labels.instance }}"

Alert Severity Guide

SeverityThresholdResponse
criticalService down, data loss riskPage on-call immediately
warningDegraded, approaching limitInvestigate within hours
infoNotable but not urgentReview in next business day

Validation

# Validate config syntax
promtool check config prometheus.yml

# Validate rule files
promtool check rules /etc/prometheus/rules/*.yml

# Test a query
promtool query instant http://localhost:9090 'up'

# Reload config without restart
curl -X POST http://localhost:9090/-/reload

Best Practices

PracticeDetail
Naming: prefix_name_unitSnake_case, _total for counters, _seconds/_bytes for units
Scrape intervals 15–60sShorter wastes resources and storage
Recording rules for dashboardsPre-compute anything queried repeatedly
Monitor Prometheus itselfprometheus_tsdb_*, scrape_duration_seconds
HA deployment2+ instances scraping same targets
Retention planningMatch --storage.tsdb.retention.time to disk capacity
Federation for scaleGlobal Prometheus aggregates from regional instances
Long-term storageThanos or Cortex for >30d retention

Troubleshooting Quick Reference

ProblemDiagnosisFix
Target shows DOWNCheck /targets page for errorFix firewall, verify endpoint, check TLS
Metrics missingQuery up{job="x"}Verify scrape config, check /metrics endpoint
High cardinalityprometheus_tsdb_head_series growingDrop high-cardinality labels with metric_relabel_configs
Storage filling upCheck prometheus_tsdb_storage_*Reduce retention, add disk, enable compaction
Slow queriesCheck prometheus_engine_query_duration_secondsAdd recording rules, reduce range, limit series
Config not appliedCheck prometheus_config_last_reload_successfulFix syntax, POST /-/reload

NEVER Do

Anti-PatternWhyDo Instead
Scrape interval < 5sOverwhelms targets and storageUse 15–60s intervals
High-cardinality labels (user ID, request ID)Explodes TSDB series countUse logs for high-cardinality data
Alert without for durationFires on transient spikesAlways set for: 1m minimum
Skip recording rulesDashboards compute expensive queries every loadPre-compute with recording rules
Store secrets in prometheus.ymlConfig often in GitUse file-based secrets or env substitution
Ignore up metricMiss targets silently going downAlert on up == 0 for all jobs
Single Prometheus instance in prodSingle point of failureRun 2+ replicas with shared targets
Unbounded retentionDisk fills, Prometheus crashesSet explicit --storage.tsdb.retention.time

Templates

TemplateDescription
templates/prometheus.ymlFull config with static, file-based, and K8s discovery
templates/alert-rules.yml25+ alert rules by category
templates/recording-rules.ymlPre-computed metrics for HTTP, latency, resources, SLOs

平台分布

OpenClaw

72.02%
按下载量换算6,594

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。目前只有一个公开来源,建议同时核对源仓库。

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