grafana-dashboards

grafana-dashboards is a skill for Claude Code, Codex from rmyndharis/antigravity-skills. It costs 40 tokens per session (2,117 once invoked), scanned A, original, MIT.

A guide to building Grafana dashboards that display system, application, infrastructure, and business metrics. Grafana is a monitoring tool that turns measurements, such as request rates and errors, into charts and tables.

In plain words
What is it for?
Use it to visualise Prometheus metrics, create custom monitoring dashboards, track service reliability, monitor infrastructure, and display business KPIs.
Why use it?
It helps teams see service health and important trends in one place instead of inspecting raw metrics separately. It also supports dashboards for reliability targets and business indicators.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to visualise Prometheus metrics, create custom monitoring dashboards, track service reliability, monitor infrastructure, and display business KPIs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rmyndharis/antigravity-skills/grafana-dashboards
About the project

Antigravity Skill Vault is a collection of reusable Agent Skills for Google Antigravity, covering software development, operations, security, and business work. It is for people who want Antigravity agents to follow specialized expertise, personas, and structured workflows. The catalogue skills are entries from this collection.

rmyndharis/antigravity-skills · 1,529 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add rmyndharis/antigravity-skills --skill grafana-dashboards
Clone the repo
git clone --depth 1 https://github.com/rmyndharis/antigravity-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for grafana-dashboards

README.md
[![agentmods](https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/grafana-dashboards/github.svg)](https://agentmods.dev/skills/rmyndharis/antigravity-skills/grafana-dashboards)
Your own site
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/grafana-dashboards"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/grafana-dashboards/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for grafana-dashboards

Your own site · 80×15
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/grafana-dashboards"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/grafana-dashboards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,117 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.02117
Opus 5 $0.00020 $0.01059
Sonnet 5 $0.00008 $0.00423
Haiku 4.5 $0.00004 $0.00212

Measured 8d ago against content hash 6176ec6f5c9b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

grafana-dashboards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

5 near-identical copies found in the catalogue:

skills/grafana-dashboards/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Grafana Dashboards

Create and manage production-ready Grafana dashboards for comprehensive system observability.

Do not use this skill when

  • The task is unrelated to grafana dashboards
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

Purpose

Design effective Grafana dashboards for monitoring applications, infrastructure, and business metrics.

Use this skill when

  • Visualize Prometheus metrics
  • Create custom dashboards
  • Implement SLO dashboards
  • Monitor infrastructure
  • Track business KPIs

Dashboard Design Principles

1. Hierarchy of Information

┌─────────────────────────────────────┐
│  Critical Metrics (Big Numbers)     │
├─────────────────────────────────────┤
│  Key Trends (Time Series)           │
├─────────────────────────────────────┤
│  Detailed Metrics (Tables/Heatmaps) │
└─────────────────────────────────────┘

2. RED Method (Services)

  • Rate - Requests per second
  • Errors - Error rate
  • Duration - Latency/response time

3. USE Method (Resources)

  • Utilization - % time resource is busy
  • Saturation - Queue length/wait time
  • Errors - Error count

Dashboard Structure

API Monitoring Dashboard

{
  "dashboard": {
    "title": "API Monitoring",
    "tags": ["api", "production"],
    "timezone": "browser",
    "refresh": "30s",
    "panels": [
      {
        "title": "Request Rate",
        "type": "graph",
        "targets": [
          {
            "expr": "sum(rate(http_requests_total[5m])) by (service)",
            "legendFormat": "{{service}}"
          }
        ],
        "gridPos": {"x": 0, "y": 0, "w": 12, "h": 8}
      },
      {
        "title": "Error Rate %",
        "type": "graph",
        "targets": [
          {
            "expr": "(sum(rate(http_requests_total{status=~\"5..\"}[5m])) / sum(rate(http_requests_total[5m]))) * 100",
            "legendFormat": "Error Rate"
          }
        ],
        "alert": {
          "conditions": [
            {
              "evaluator": {"params": [5], "type": "gt"},
              "operator": {"type": "and"},
              "query": {"params": ["A", "5m", "now"]},
              "type": "query"
            }
          ]
        },
        "gridPos": {"x": 12, "y": 0, "w": 12, "h": 8}
      },
      {
        "title": "P95 Latency",
        "type": "graph",
        "targets": [
          {
            "expr": "histogram_quantile(0.95, sum(rate(http_request_duration_seconds_bucket[5m])) by (le, service))",
            "legendFormat": "{{service}}"
          }
        ],
        "gridPos": {"x": 0, "y": 8, "w": 24, "h": 8}
      }
    ]
  }
}

Read the full file on GitHub · 371 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 371 lines · 40 tokens per session scan A 6176ec6f5c9b

Subscribe to this mod's changes

grafana-dashboards is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,529 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 2,117 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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