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.
npx skills add sawrus/agent-guides --skill grafana-dashboardsgit clone --depth 1 https://github.com/sawrus/agent-guidesWrote 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.
[](https://agentmods.dev/skills/sawrus/agent-guides/grafana-dashboards)<a href="https://agentmods.dev/skills/sawrus/agent-guides/grafana-dashboards"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/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.
<a href="https://agentmods.dev/skills/sawrus/agent-guides/grafana-dashboards"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/grafana-dashboards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 187 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00035 | $0.01437 |
| Opus 5 | $0.00017 | $0.00718 |
| Sonnet 5 | $0.00007 | $0.00287 |
| Haiku 4.5 | $0.00003 | $0.00144 |
Grade A, and why
grafana-dashboards scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -X POST http://grafana:3000/api/dashboards/import \ How it starts
The opening of the file, as written. The whole thing — 202 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Grafana Dashboards
Expertise: Panel design, variable templates, cross-datasource linking (Prometheus + Loki + Tempo), SLO dashboards, Jsonnet/Grafonnet for dashboard-as-code.
When to load
When creating a new service dashboard, adding SLO panels, debugging a missing metric in Grafana, or converting dashboards to code.
Standard Service Overview Dashboard Panels
Row 1: Golden Signals
[Traffic: RPS] [Error Rate %] [P50/P95/P99 Latency] [Saturation: CPU/Mem]
Row 2: Infrastructure
[Pod count / restarts] [Memory usage vs limit] [CPU throttling %]
Row 3: Logs & Traces (via Explore links)
[Recent error logs] [Slow trace exemplars]
Row 4: Business Metrics (service-specific)
[Order rate] [Checkout conversion] [Queue depth]
Panel Configurations
// Error rate panel (Stat + threshold coloring)
{
"type": "stat",
"title": "Error Rate",
"datasource": "Prometheus",
"targets": [{
"expr": "sum(rate(http_requests_total{service='$service', status=~'5..'}[5m])) / sum(rate(http_requests_total{service='$service'}[5m])) * 100",
"legendFormat": "Error %"
}],
"fieldConfig": {
"defaults": {
"unit": "percent",
"thresholds": {
"steps": [
{"color": "green", "value": 0},
{"color": "yellow", "value": 0.1},
{"color": "red", "value": 1.0}
]
}
}
}
}
// Latency heatmap panel
{
"type": "heatmap",
"title": "Request Latency Heatmap",
"targets": [{
"expr": "sum(rate(http_request_duration_seconds_bucket{service='$service'}[5m])) by (le)",
"format": "heatmap",
"legendFormat": "{{le}}"
}],
"yAxis": { "format": "s", "logBase": 2 }
}
Variable Templates (dashboard filters)
// Namespace variable (auto-populated from Prometheus labels)
{
"name": "namespace",
"type": "query",
"datasource": "Prometheus",
"query": "label_values(kube_pod_info, namespace)",
"refresh": 2, // refresh on time range change
"includeAll": true,
"multi": true
}
// Service variable (filtered by selected namespace)
{
"name": "service",
"type": "query",
"query": "label_values(http_requests_total{namespace='$namespace'}, service)",
"refresh": 2
}
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.
- 12d ago First seen · 202 lines · 35 tokens per session scan A d285a292814b
grafana-dashboards is a skill published in the GitHub repository sawrus/agent-guides (17 stars, last pushed 12d ago), licensed MIT. It adds 35 tokens to every session and 1,437 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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