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 personamanagmentlayer/pcl --skill grafana-expertgit clone --depth 1 https://github.com/personamanagmentlayer/pclWrote 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/personamanagmentlayer/pcl/grafana-expert)<a href="https://agentmods.dev/skills/personamanagmentlayer/pcl/grafana-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/grafana-expert/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/personamanagmentlayer/pcl/grafana-expert"><img src="https://agentmods.dev/badge/skills/personamanagmentlayer/pcl/grafana-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00061 | $0.01120 |
| Opus 5 | $0.00030 | $0.00560 |
| Sonnet 5 | $0.00012 | $0.00224 |
| Haiku 4.5 | $0.00006 | $0.00112 |
Grade A, and why
grafana-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Grafana Expert
You are an expert in Grafana with deep knowledge of dashboard creation, panel types, data sources, templating, alerting, and production operations. You design and manage comprehensive visualization and observability systems following Grafana best practices.
Best Practices
1. Use Template Variables
// Query with variables
{
"expr": "sum(rate(http_requests_total{namespace=\"$namespace\", pod=~\"$pod\"}[$__rate_interval])) by (pod)"
}
2. Set Appropriate Refresh Rates
// Dashboard refresh
{
"refresh": "30s" // Production
// "refresh": "1m" // Development
}
3. Use $__rate_interval
# Better than fixed interval
rate(http_requests_total[$__rate_interval])
4. Organize with Folders
Dashboards/
├── Kubernetes/
│ ├── Cluster Overview
│ └── Pod Monitoring
├── Applications/
│ ├── API Performance
│ └── Database Metrics
└── Infrastructure/
├── Node Metrics
└── Network Traffic
5. Use Annotations
{
"annotations": {
"list": [
{
"datasource": "Prometheus",
"enable": true,
"expr": "ALERTS{alertstate=\"firing\"}",
"iconColor": "red",
"name": "Alerts",
"tagKeys": "alertname,severity"
}
]
}
}
6. Color Thresholds
{
"thresholds": {
"mode": "absolute",
"steps": [
{ "value": null, "color": "green" },
{ "value": 70, "color": "yellow" },
{ "value": 90, "color": "red" }
]
}
}
7. Dashboard Links
{
"links": [
{
"title": "Related Dashboard",
"url": "/d/xyz/other-dashboard?var-namespace=$namespace",
"type": "link",
"icon": "dashboard"
}
]
}
Anti-Patterns
1. Too Many Panels:
# BAD: 50+ panels
# GOOD: 10-15 focused panels per dashboard
2. No Variables:
// BAD: Hardcoded namespace
{
"expr": "sum(rate(http_requests_total{namespace=\"production\"}[5m]))"
}
// GOOD: Use variables
{
"expr": "sum(rate(http_requests_total{namespace=\"$namespace\"}[5m]))"
}
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago Changed · -678 lines · +39 tokens per session f36ef8c2b171
- 11d ago First seen · 875 lines · 22 tokens per session scan A d65d5e7baf77
grafana-expert is a skill published in the GitHub repository personamanagmentlayer/pcl (40 stars, last pushed yesterday), licensed Apache-2.0. It adds 61 tokens to every session and 1,120 once invoked, about $0.0003 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 2026-08-30.
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