Token导航 LogoToken导航TokenDH.com
开发敏感数据github未标认证来源可访问许可证需确认审计提醒

database-observability数据库可观察性

Agent Skill

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

总安装

864

周安装

36

GitHub Stars

26

下载量

288
CodexClaudeCursorGemini CLI

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:database-observability(数据库可观察性)
来源仓库:https://github.com/grafana/skills
仓库路径:skills/database-observability
安装命令:
npx skills add https://github.com/grafana/skills --skill database-observability
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 database-observability

简介

Grafana Cloud 提供的无侵入式数据库观测即服务(SaaS)。

  • 自动整理 RED 指标(请求率、错误率、持续时间)无需埋点。
  • 支持 PostgreSQL/MySQL 的 query-level 洞察与 explain plan 分析。
  • 需启用 pg_stat_statements 等扩展并接入 Grafana Agent。
  • database-observability 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Grafana Cloud Database Observability

Docs: https://grafana.com/docs/grafana-cloud/monitor-applications/database-observability/

Provides query-level insights (RED metrics, query samples, explain plans) for MySQL and PostgreSQL without application code changes. Generally Available as of April 2026.

Supported Databases

DatabaseVariants
MySQLSelf-managed, RDS MySQL, Aurora MySQL, Cloud SQL MySQL, Azure Database for MySQL
PostgreSQLSelf-managed, RDS PostgreSQL, Aurora PostgreSQL, Cloud SQL PostgreSQL, Azure Database for PostgreSQL

Prerequisites

PostgreSQL

-- 1. Enable pg_stat_statements in postgresql.conf
-- shared_preload_libraries = 'pg_stat_statements'
-- Then restart PostgreSQL

-- 2. Create monitoring user
CREATE USER grafana_monitoring WITH PASSWORD 'secret';
GRANT pg_monitor TO grafana_monitoring;
GRANT CONNECT ON DATABASE mydb TO grafana_monitoring;

-- 3. Enable the extension
CREATE EXTENSION IF NOT EXISTS pg_stat_statements;

MySQL

-- Create monitoring user with least-privilege permissions
CREATE USER 'grafana_monitoring'@'%' IDENTIFIED BY 'secret';
GRANT SELECT, PROCESS, REPLICATION CLIENT ON *.* TO 'grafana_monitoring'@'%';
GRANT SELECT ON performance_schema.* TO 'grafana_monitoring'@'%';
FLUSH PRIVILEGES;

Alloy Configuration

PostgreSQL

database_observability.postgres "mydb" {
  data_source_name = "postgresql://grafana_monitoring:secret@localhost:5432/mydb?sslmode=disable"

  enable_collectors = ["pg_stat_statements", "query_samples", "schema_details"]

  forward_metrics_to = [prometheus.remote_write.cloud.receiver]
  forward_logs_to    = [loki.write.cloud.receiver]
}

prometheus.remote_write "cloud" {
  endpoint {
    url = sys.env("PROMETHEUS_URL")
    basic_auth {
      username = sys.env("PROMETHEUS_USER")
      password = sys.env("GRAFANA_CLOUD_API_KEY")
    }
  }
}

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

MySQL

database_observability.mysql "mydb" {
  data_source_name = "grafana_monitoring:secret@tcp(localhost:3306)/mydb"

  enable_collectors = ["query_samples", "explain_plans", "schema_details"]

  forward_metrics_to = [prometheus.remote_write.cloud.receiver]
  forward_logs_to    = [loki.write.cloud.receiver]
}

Key Metrics

# Query rate by database
rate(db_query_total{db_instance="mydb"}[5m])

# P95 query latency
histogram_quantile(0.95, rate(db_query_duration_seconds_bucket[5m]))

# Error rate
rate(db_query_errors_total[5m]) / rate(db_query_total[5m])

# Slow queries (over 1 second)
count(db_query_duration_seconds > 1) by (db_query_digest)

# Active connections
db_connections_active{db_instance="mydb"}

What You Get

Query Performance Dashboard (auto-provisioned):

  • Top queries by total time, call count, mean latency
  • Query samples with actual parameters and timing
  • Visual explain plans showing index usage, scan types, costs
  • RED metrics per query digest

Correlation with APM:

  • Link slow DB queries to the application traces that triggered them
  • db.statement, db.system, db.name OTel attributes connect DB spans to query samples
  • Drill from service latency spike → specific slow SQL query → explain plan

Alert Rules

groups:
  - name: database-observability
    rules:
      - alert: SlowQueryDetected
        expr: histogram_quantile(0.95, rate(db_query_duration_seconds_bucket[5m])) > 1
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "P95 query latency > 1s on {{ $labels.db_instance }}"

      - alert: HighDBErrorRate
        expr: rate(db_query_errors_total[5m]) / rate(db_query_total[5m]) > 0.05
        for: 5m
        labels:
          severity: critical
        annotations:
          summary: "DB error rate > 5% on {{ $labels.db_instance }}"

      - alert: TooManyConnections
        expr: db_connections_active / db_connections_max > 0.8
        for: 5m
        labels:
          severity: warning
        annotations:
          summary: "DB connection pool >80% on {{ $labels.db_instance }}"

Setup Checklist

  1. Enable pg_stat_statements (PostgreSQL) or Performance Schema (MySQL)
  2. Create least-privilege monitoring user
  3. Add database_observability.* block to Alloy config
  4. Verify metrics appear in Grafana Cloud → Database Observability
  5. Set up alerting on slow queries and error rates
  6. Enable trace correlation by ensuring app uses db.statement span attributes

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

37.22%
按下载量换算107

Claude

28.75%
按下载量换算83

Cursor

18.34%
按下载量换算53

Gemini CLI

8.18%
按下载量换算24

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

继续浏览同类 Skills