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 Arvo-AI/aurora --skill grafanagit clone --depth 1 https://github.com/Arvo-AI/auroraWrote 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/arvo-ai/aurora/grafana)<a href="https://agentmods.dev/skills/arvo-ai/aurora/grafana"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/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/arvo-ai/aurora/grafana"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/grafana.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 | $0.00018 | $0.00337 |
| Opus 5 | $0.00009 | $0.00169 |
| Sonnet 5 | $0.00004 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00034 |
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 10d 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 Integration
Overview
Grafana is connected as an observation-only provider for alert ingestion and dashboard monitoring.
Instructions
IMPORTANT -- NO CLI SUPPORT
- Do NOT use
cloud_exec('grafana', ...)-- there is no Grafana CLI connector. - Do NOT use
terminal_execwithgrafana-cli-- it is not installed. - Grafana data (alerts) is available through Aurora's internal API, not through CLI tools.
WHAT YOU CAN DO
- View alerts: Grafana alerts are automatically ingested via webhook and stored in Aurora's database. Reference the alert context provided in the conversation to answer questions about Grafana alerts.
- Investigate infrastructure: If an alert references a specific cloud resource (VM, pod, service), use the appropriate cloud provider tool (cloud_exec with 'gcp', 'aws', 'azure', etc.) to investigate.
CRITICAL RULES
- NEVER call cloud_exec with provider='grafana' -- it will fail.
- Use the alert context already available in the conversation.
- For deeper investigation, identify the underlying cloud provider from the alert and use that provider's tools.
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.
- 10d ago First seen · 39 lines · 18 tokens per session scan A fa05f9b9a618
grafana is a skill published in the GitHub repository Arvo-AI/aurora (406 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 337 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 2026-08-30.
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