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 G1Joshi/Agent-Skills --skill grafanagit clone --depth 1 https://github.com/G1Joshi/Agent-SkillsWrote 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/g1joshi/agent-skills/grafana)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/grafana"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/grafana/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/g1joshi/agent-skills/grafana"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/grafana.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00016 | $0.00382 |
| Opus 5 | $0.00008 | $0.00191 |
| Sonnet 5 | $0.00003 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
grafana 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 9d 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.
What it actually says
Grafana
Grafana is the visualization layer for Observability. Grafana 11 (2025) introduces Scenes (dynamic dashboards) and deeper correlation between Metrics, Logs, and Traces.
When to Use
- Dashboards: Visualize data from Prometheus, InfluxDB, CloudWatch, SQL, etc.
- Single Pane of Glass: Combine metrics (Prometheus), logs (Loki), and traces (Tempo) in one UI.
- Alerting: Unified alerting UI regardless of the data source.
Quick Start
Run via Docker:
docker run -d -p 3000:3000 grafana/grafana
Or Provision as Code (YAML):
apiVersion: 1
providers:
- name: "default"
folder: ""
type: file
options:
path: /var/lib/grafana/dashboards
Core Concepts
Data Sources
Plugins that connect to storage backends.
Panels
Individual visualizations (Time Series, Gauge, Bar Chart).
Variables
Dropdowns at the top of dashboards (e.g., Select Cluster or Namespace) to make dashboards dynamic.
Best Practices (2025)
Do:
- Provision as Code: Store dashboards as JSON files in Git.
- Use Explore metrics: The new v11 UI for ad-hoc querying.
- Standardize Labels: Ensure "env" and "service" labels match across Metrics and Logs for seamless correlation links.
Don't:
- Don't hardcode queries: Use Variables so one dashboard serves all environments.
References
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.
- 9d ago First seen · 62 lines · 16 tokens per session scan A 31c3a4744a5b
grafana is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 16 tokens to every session and 382 once invoked, about $0.0001 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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