grafana-dashboards

grafana-dashboards is a skill for Claude Code, Codex from NOMARJ/sigil. It costs 40 tokens per session (2,175 once invoked), scanned A, a copy of grafana-dashboards, Apache-2.0.

Grafana dashboards are visual pages that display system, application, and business measurements over time. They can show Prometheus metrics using charts, tables, heatmaps, and summary values.

In plain words
What is it for?
Use it to build monitoring dashboards, visualize infrastructure and API health, track SLOs (service-level objectives), and display business KPIs.
Why use it?
They make trends, failures, resource pressure, service performance, and business targets easier to spot than raw metric data.

Skill for Claude CodeCodex

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

Good fit Use it to build monitoring dashboards, visualize infrastructure and API health, track SLOs (service-level objectives), and display business KPIs.

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Install with agentmods
npx agentmods add skills/nomarj/sigil/grafana-dashboards
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 NOMARJ/sigil --skill grafana-dashboards
Clone the repo
git clone --depth 1 https://github.com/NOMARJ/sigil

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/nomarj/sigil/grafana-dashboards/github.svg)](https://agentmods.dev/skills/nomarj/sigil/grafana-dashboards)
Your own site
<a href="https://agentmods.dev/skills/nomarj/sigil/grafana-dashboards"><img src="https://agentmods.dev/badge/skills/nomarj/sigil/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/nomarj/sigil/grafana-dashboards"><img src="https://agentmods.dev/badge/skills/nomarj/sigil/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 2,175 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.
Origin 80% copy Near-identical to another mod 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 $0.02175
Opus 5 $0.00020 $0.01087
Sonnet 5 $0.00008 $0.00435
Haiku 4.5 $0.00004 $0.00217

Measured 8d ago against content hash 1b9679658247, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, 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

This is a copy

80% identical to grafana-dashboards — 110 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

packs/infra/skills/observability/grafana-dashboards/SKILL.md · 389 lines

How it starts

The opening of the file, as written. The whole thing — 389 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.

Purpose

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

When to Use

  • 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 · 389 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 · 389 lines · 40 tokens per session scan A 1b9679658247

Subscribe to this mod's changes

grafana-dashboards is a skill published in the GitHub repository NOMARJ/sigil (5 stars, last pushed 6d ago), licensed Apache-2.0. It adds 40 tokens to every session and 2,175 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to grafana-dashboards, differing in 110 lines, and is treated as a copy.

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