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send-data发送数据

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

总安装

1,173

周安装

47

GitHub Stars

26

下载量

380
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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:send-data(发送数据)
来源仓库:https://github.com/grafana/skills
仓库路径:skills/send-data
安装命令:
npx skills add https://github.com/grafana/skills --skill send-data
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 send-data

简介

用于辅助数据整理、表格处理和指标计算,适合清洗字段和生成统计口径。

  • 使用时需确认数据来源、字段含义和时间范围,避免误用样本数据。
  • 涉及敏感数据或批量写回时,应先确认权限和脱敏边界。
  • 安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加。
  • 注意权限范围和维护状态,确认是否会触发联网或文件读写操作。

SKILL.md

Sending Data to Grafana Cloud

Docs: https://grafana.com/docs/grafana-cloud/send-data/

Quick Start: Find Your Credentials

In Grafana Cloud portal → My AccountStackDetails:

SignalCredential Fields
MetricsPrometheus remote write URL, username, password/API key
LogsLoki URL, username, password/API key
TracesTempo OTLP endpoint, username, password/API key
ProfilesPyroscope URL, username, password/API key

Alloy (Recommended — All Signals)

// METRICS
prometheus.scrape "app" {
  targets    = [{"__address__" = "localhost:8080"}]
  forward_to = [prometheus.remote_write.cloud.receiver]
}

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

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

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

// TRACES (OTLP receive → forward)
otelcol.receiver.otlp "default" {
  grpc { endpoint = "0.0.0.0:4317" }
  http { endpoint = "0.0.0.0:4318" }
  output {
    traces = [otelcol.exporter.otlp.cloud.input]
  }
}

otelcol.exporter.otlp "cloud" {
  client {
    endpoint = "tempo-prod-xx.grafana.net:443"
    auth = otelcol.auth.basic.cloud.handler
  }
}

otelcol.auth.basic "cloud" {
  username = sys.env("TEMPO_USER")
  password = sys.env("GRAFANA_CLOUD_API_KEY")
}

Direct Prometheus Remote Write

# prometheus.yml
remote_write:
  - url: https://prometheus-prod-xx.grafana.net/api/prom/push
    basic_auth:
      username: "123456"
      password: "your-api-key"
    write_relabel_configs:
      - source_labels: [__name__]
        regex: "go_.*"
        action: drop   # optional: drop high-cardinality metrics

Direct Loki Push (curl)

curl -X POST https://logs-prod-xx.grafana.net/loki/api/v1/push \
  -H "Content-Type: application/json" \
  -u "123456:your-api-key" \
  -d '{
    "streams": [{
      "stream": { "app": "myapp", "env": "prod" },
      "values": [
        ["1706745600000000000", "application started"]
      ]
    }]
  }'

OpenTelemetry SDK → Grafana Cloud

# Environment variables for OTLP export
export OTEL_EXPORTER_OTLP_ENDPOINT="https://otlp-gateway-prod-xx.grafana.net/otlp"
export OTEL_EXPORTER_OTLP_HEADERS="Authorization=Basic $(echo -n '123456:your-api-key' | base64)"
export OTEL_SERVICE_NAME="my-service"

Python example:

from opentelemetry import trace
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor

provider = TracerProvider()
exporter = OTLPSpanExporter()  # reads OTEL_EXPORTER_OTLP_* env vars
provider.add_span_processor(BatchSpanProcessor(exporter))
trace.set_tracer_provider(provider)

Cloud Integrations

Pre-built integrations for common infrastructure (install from Grafana Cloud UI or API):

# List available integrations
curl https://integrations-api-prod.grafana.net/api/v1/integrations \
  -H "Authorization: Bearer <api-key>"

# Install AWS CloudWatch integration
curl -X POST https://integrations-api-prod.grafana.net/api/v1/integrations/cloudwatch \
  -H "Authorization: Bearer <api-key>" \
  -H "Content-Type: application/json" \
  -d '{"name": "aws-prod", "config": {...}}'

Popular integrations: AWS CloudWatch, Azure Monitor, GCP, Kubernetes, Docker, MySQL, PostgreSQL, Redis, Nginx, Apache, JVM, Node.js, Python,.NET.

Kubernetes Agent Operator

# values.yaml for grafana/k8s-monitoring Helm chart
cluster:
  name: production

externalServices:
  prometheus:
    host: https://prometheus-prod-xx.grafana.net
    basicAuth:
      username: "123456"
      password:
        secretName: grafana-cloud-secret
        secretKey: api-key

  loki:
    host: https://logs-prod-xx.grafana.net
    basicAuth:
      username: "234567"
      password:
        secretName: grafana-cloud-secret
        secretKey: api-key

metrics:
  enabled: true
  podMonitors:
    enabled: true
  serviceMonitors:
    enabled: true

logs:
  pod_logs:
    enabled: true

traces:
  enabled: true
helm install k8s-monitoring grafana/k8s-monitoring \
  -n monitoring --create-namespace \
  -f values.yaml

API Key Management

# Create API key via Grafana API
curl -X POST https://yourstack.grafana.net/api/auth/keys \
  -H "Content-Type: application/json" \
  -u "admin:adminpassword" \
  -d '{"name": "alloy-writer", "role": "MetricsPublisher", "secondsToLive": 0}'

Roles for data ingestion: MetricsPublisher, LogsPublisher, TracesPublisher, ProfilesPublisher

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

36.01%
按下载量换算137

Claude

29.67%
按下载量换算113

Cursor

20.05%
按下载量换算76

Gemini CLI

10.09%
按下载量换算38

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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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