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alloyalloy 搜索

Agent Skill

alloy 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。

总安装

2,281

周安装

97

GitHub Stars

26

下载量

799
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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

unknown

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:alloy(alloy 搜索)
来源仓库:https://github.com/grafana/skills
仓库路径:skills/alloy
安装命令:
npx skills add https://github.com/grafana/skills --skill alloy
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/grafana/skills --skill alloy

简介

alloy 提供 Grafana Alloy 的官方文档和安装指南。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中查找 OpenTelemetry 收集器相关信息时使用。
  • 支持多种安装方式:brew、apt、Docker 和 Helm,涵盖 macOS、Linux 和 Kubernetes。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • Alloy 是开源的 OpenTelemetry 分发版,统一整理指标、日志、追踪和性能资料。

SKILL.md

Grafana Alloy

Docs: https://grafana.com/docs/alloy/latest/

Alloy is an open-source OpenTelemetry collector distribution that unifies telemetry collection (metrics, logs, traces, profiles) in a single binary supporting Prometheus and OTel standards.

Installation

# macOS
brew install grafana/grafana/alloy

# Linux (Debian/Ubuntu)
sudo apt install alloy

# Docker
docker run -v $(pwd)/config.alloy:/etc/alloy/config.alloy \
  grafana/alloy:latest run /etc/alloy/config.alloy

# Kubernetes (Helm)
helm repo add grafana https://grafana.github.io/helm-charts
helm install alloy grafana/alloy -f values.yaml

# Run
alloy run /path/to/config.alloy

Default config paths:

  • Linux: /etc/alloy/config.alloy
  • macOS: $(brew --prefix)/etc/alloy/config.alloy
  • Windows: %ProgramFiles%\GrafanaLabs\Alloy\config.alloy

Config Language Syntax

Config files use .alloy extension (UTF-8). See references/config-syntax.md for full reference.

// Block syntax: BLOCK_TYPE "LABEL" { ... }
prometheus.scrape "my_scraper" {
  targets    = [{"__address__" = "localhost:9090"}]
  forward_to = [prometheus.remote_write.cloud.receiver]
}

// Attribute: NAME = VALUE
scrape_interval = "30s"

// Reference another component's export
forward_to = [prometheus.remote_write.cloud.receiver]

// Environment variable
password = sys.env("GRAFANA_API_KEY")

// String concat
url = "https://" + sys.env("HOST")

Core Component Patterns

See references/components.md for full component reference.

Metrics: Scrape → Remote Write

prometheus.scrape "app" {
  targets    = discovery.kubernetes.pods.targets
  forward_to = [prometheus.remote_write.cloud.receiver]
  scrape_interval = "30s"
}

prometheus.remote_write "cloud" {
  endpoint {
    url = "https://prometheus-xxx.grafana.net/api/prom/push"
    basic_auth {
      username = sys.env("PROM_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
}

Logs: File → Loki

loki.source.file "app_logs" {
  targets = [
    {__path__ = "/var/log/app/*.log",   job = "app"},
    {__path__ = "/var/log/nginx/*.log", job = "nginx"},
  ]
  forward_to = [loki.write.cloud.receiver]
}

loki.write "cloud" {
  endpoint {
    url = "https://logs-xxx.grafana.net/loki/api/v1/push"
    basic_auth {
      username = sys.env("LOKI_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
}

Traces: OTLP Receive → Export

otelcol.receiver.otlp "default" {
  grpc { endpoint = "0.0.0.0:4317" }
  http { endpoint = "0.0.0.0:4318" }
  output {
    traces  = [otelcol.exporter.otlp.tempo.input]
    metrics = [otelcol.exporter.prometheus.local.input]
    logs    = [otelcol.exporter.loki.cloud.input]
  }
}

otelcol.exporter.otlp "tempo" {
  client {
    endpoint = "tempo-xxx.grafana.net/tempo:443"
    auth     = otelcol.auth.basic.grafana_cloud.handler
  }
}

otelcol.auth.basic "grafana_cloud" {
  username = sys.env("TEMPO_USER")
  password = sys.env("GRAFANA_API_KEY")
}

Kubernetes Discovery

discovery.kubernetes "pods" {
  role = "pod"
}

discovery.relabel "pods" {
  targets = discovery.kubernetes.pods.targets
  rule {
    source_labels = ["__meta_kubernetes_pod_label_app"]
    target_label  = "app"
  }
  rule {
    source_labels = ["__meta_kubernetes_namespace"]
    target_label  = "namespace"
  }
  // Drop pods without app label
  rule {
    source_labels = ["__meta_kubernetes_pod_label_app"]
    regex         = ""
    action        = "drop"
  }
}

prometheus.scrape "kubernetes" {
  targets    = discovery.relabel.pods.output
  forward_to = [prometheus.remote_write.cloud.receiver]
}

Configuration Blocks (top-level)

logging {
  level  = "info"   // debug, info, warn, error
  format = "logfmt" // logfmt, json
}

http {
  listen_addr = "0.0.0.0:12345"  // UI at http://localhost:12345
}

// Fleet Management remote config
remotecfg {
  url = "https://fleet-management.grafana.net"
  basic_auth {
    username = sys.env("FM_USERNAME")
    password = sys.env("FM_TOKEN")
  }
  poll_interval = "1m"
}

tracing {
  sampling_fraction = 0.1
  write_to = [otelcol.exporter.otlp.default.input]
}

Modules and Imports

// Import from local file
import.file "utils" {
  filename = "./modules/utils.alloy"
}

// Import from Git
import.git "k8s_monitoring" {
  repository = "https://github.com/grafana/alloy-modules"
  revision   = "main"
  path       = "modules/kubernetes/"
}

// Import from HTTP
import.http "shared" {
  url            = "https://config-server/alloy/shared.alloy"
  poll_frequency = "5m"
}

// Use imported component
utils.my_component "example" {
  arg = "value"
}

Clustering

clustering {
  enabled = true
}

prometheus.scrape "cluster_aware" {
  targets    = discovery.kubernetes.pods.targets
  forward_to = [prometheus.remote_write.cloud.receiver]
  clustering { enabled = true }  // distributes scrape targets across cluster nodes
}

Processing: Relabeling and Transformation

// Relabel metrics
prometheus.relabel "filter" {
  forward_to = [prometheus.remote_write.cloud.receiver]
  rule {
    source_labels = ["__name__"]
    regex         = "go_.*"
    action        = "drop"
  }
  rule {
    source_labels = ["env"]
    replacement   = "production"
    target_label  = "environment"
  }
}

// Loki pipeline processing
loki.process "parse" {
  forward_to = [loki.write.cloud.receiver]
  stage.json {
    expressions = { level = "level", msg = "message" }
  }
  stage.labels {
    values = { level = "" }
  }
  stage.drop {
    expression = ".*health check.*"
  }
}

Key Components Quick Reference

ComponentPurpose
prometheus.scrapeScrape Prometheus metrics endpoints
prometheus.remote_writeSend metrics via remote write
prometheus.relabelRelabel/filter metrics
loki.source.fileRead logs from files
loki.source.kubernetesRead Kubernetes pod logs
loki.writeSend logs to Loki
loki.processProcess/transform logs (pipeline stages)
otelcol.receiver.otlpReceive OTLP data (gRPC/HTTP)
otelcol.exporter.otlpExport via OTLP gRPC
otelcol.exporter.otlphttpExport via OTLP HTTP
otelcol.processor.batchBatch telemetry before exporting
otelcol.processor.memory_limiterLimit memory usage
discovery.kubernetesDiscover Kubernetes targets
discovery.dockerDiscover Docker containers
discovery.ec2Discover AWS EC2 instances
discovery.relabelRelabel discovery targets
pyroscope.scrapeScrape profiling data
pyroscope.writeSend profiles to Pyroscope
beyla.ebpfeBPF auto-instrumentation

Complete Grafana Cloud Pipeline

// METRICS
prometheus.scrape "all" {
  targets = array.concat(
    discovery.kubernetes.nodes.targets,
    discovery.kubernetes.pods.targets,
  )
  forward_to      = [prometheus.remote_write.grafana_cloud.receiver]
  scrape_interval = "60s"
}

prometheus.remote_write "grafana_cloud" {
  endpoint {
    url = sys.env("PROMETHEUS_URL")
    basic_auth {
      username = sys.env("PROMETHEUS_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
  external_labels = {
    cluster = "prod-us-east",
    env     = "production",
  }
}

// LOGS
loki.source.kubernetes "pods" {
  targets    = discovery.kubernetes.pods.targets
  forward_to = [loki.process.add_labels.receiver]
}

loki.process "add_labels" {
  forward_to = [loki.write.grafana_cloud.receiver]
  stage.static_labels {
    values = { cluster = "prod-us-east" }
  }
}

loki.write "grafana_cloud" {
  endpoint {
    url = sys.env("LOKI_URL")
    basic_auth {
      username = sys.env("LOKI_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
}

// TRACES
otelcol.receiver.otlp "default" {
  grpc {}
  http {}
  output {
    traces = [otelcol.exporter.otlp.grafana_cloud.input]
  }
}

otelcol.exporter.otlp "grafana_cloud" {
  client {
    endpoint = sys.env("TEMPO_ENDPOINT")
    auth     = otelcol.auth.basic.grafana_cloud.handler
  }
}

otelcol.auth.basic "grafana_cloud" {
  username = sys.env("TEMPO_USER")
  password = sys.env("GRAFANA_API_KEY")
}

// PROFILES
pyroscope.scrape "default" {
  targets    = [{"__address__" = "localhost:6060", "service_name" = "myapp"}]
  forward_to = [pyroscope.write.grafana_cloud.receiver]
}

pyroscope.write "grafana_cloud" {
  endpoint {
    url = sys.env("PYROSCOPE_URL")
    basic_auth {
      username = sys.env("PYROSCOPE_USER")
      password = sys.env("GRAFANA_API_KEY")
    }
  }
}

References

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

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

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

Codex

35.47%
按下载量换算283

Claude

27.9%
按下载量换算223

Cursor

18.07%
按下载量换算144

Gemini CLI

9.14%
按下载量换算73

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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