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grafana-platform-dashboardgrafana 平台仪表板

Agent Skill

grafana-platform-dashboard 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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

3,195

周安装

128

GitHub Stars

321

下载量

1,034
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:grafana-platform-dashboard(grafana 平台仪表板)
来源仓库:https://github.com/boshu2/agentops
仓库路径:skills/grafana-platform-dashboard
安装命令:
npx skills add https://github.com/boshu2/agentops --skill grafana-platform-dashboard
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/boshu2/agentops --skill grafana-platform-dashboard

简介

用于定制 Grafana 平台级监控大盘,展示集群健康状态。

  • 适合 Kubernetes 或分布式系统中全局视角的运维监控。
  • 集成节点资源、Pod 调度、请求延迟等多维度指标聚合。
  • 需部署 Grafana Agent 或配置 Prometheus 抓取目标端点。
  • 注意:指标命名规范需与整理器保持一致以防数据错位。

SKILL.md

Grafana Platform Dashboard

Design platform operations dashboards so operators see tenant-impacting risk first, then drill into service-specific health without overload.

Quick Start

Use this skill when the user asks for platform dashboard updates and reliability checks.

  1. Confirm dashboard target:
oc --context <ctx> get grafanadashboard -A | rg -i '<dashboard-name-or-theme>'
  1. Export dashboard and JSON:
skills/grafana-platform-dashboard/scripts/grafanadashboard_roundtrip.sh export \
  --context <ctx> \
  --namespace <ns> \
  --name <grafanadashboard-name> \
  --out-dir /tmp/<workspace>
  1. Edit the JSON and validate all PromQL:
skills/grafana-platform-dashboard/scripts/promql_scan_thanos.sh \
  --context <ctx> \
  --dashboard-json /tmp/<workspace>/<name>.json
  1. Apply live safely:
skills/grafana-platform-dashboard/scripts/grafanadashboard_roundtrip.sh apply \
  --context <ctx> \
  --namespace <ns> \
  --name <grafanadashboard-name> \
  --json /tmp/<workspace>/<name>.json

Workflow

1) Lock Scope From Platform Contracts

Use the platform contract in platform-contract.md before editing panels.

  1. Keep L1 command view constrained to critical pre-tenant-impact signals.
  2. Use gate-aligned components first (critical CO gate, nodes, MCP, core API/etcd/ingress).
  3. Keep service-specific sections (Crossplane, Keycloak) below L1.

2) Enforce Information Architecture

Use layout-guidelines.md:

  1. L1: critical-only, immediate action, minimal panel budget.
  2. L2: platform services by dependency domain.
  3. L3: deep dives (for example future GPU dashboard), not in L1.

3) Build Queries From Known Library

Use promql-library.md:

  1. Start from known-good queries and adapt labels minimally.
  2. Prefer counts and action tables over decorative charts.
  3. Filter alert noise explicitly (for example ArgoCD/GitOps) when requested.

4) Validate Before Apply

Always run the scan script after edits:

skills/grafana-platform-dashboard/scripts/promql_scan_thanos.sh \
  --context <ctx> \
  --dashboard-json <file.json> \
  --output <scan.tsv>

Pass criteria: all queries report success, zero bad/parse errors.

5) Apply and Verify Sync

Apply only after validation succeeds:

skills/grafana-platform-dashboard/scripts/grafanadashboard_roundtrip.sh apply ...
oc --context <ctx> -n <ns> get grafanadashboard <name> \
  -o jsonpath='{.status.conditions[?(@.type=="DashboardSynchronized")].status}{"|"}{.status.conditions[?(@.type=="DashboardSynchronized")].reason}{"\n"}'

6) Close With Operator-Focused Summary

Report:

  1. What changed (panel names and intent).
  2. Validation result (query count and failures).
  3. Sync status and any residual risk.
  4. Next step: promote live changes into GitOps-managed source.

Design Rules

  1. Put critical tenant-impact predictors first.
  2. Every red panel must imply an action path.
  3. Avoid ambiguous panel names (for example replace “platform pods” with concrete namespace scope).
  4. Keep L1 low-noise; move detail below or to dedicated dashboards.
  5. Keep GPU deep diagnostics in a dedicated GPU dashboard, not mixed into L1.

References

  1. Platform Contract
  2. PromQL Panel Library
  3. Layout Guidelines

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

38.69%
按下载量换算400

Claude

29.81%
按下载量换算308

Cursor

19.9%
按下载量换算206

Gemini CLI

9.08%
按下载量换算94

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。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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