grafana-expert

grafana-expert is an agent for coding agents from NickCrew/Claude-Cortex. It costs 25 tokens per session (638 once invoked), scanned A, original, MIT.

An AI specialist for Grafana, a tool for displaying monitoring data and sending alerts. It focuses on dashboards, data sources, visualizations, alerts, access control, and operational reporting.

In plain words
What is it for?
Use it to create or customize Grafana dashboards, configure Prometheus or InfluxDB connections, optimize queries, set up alerts and notification channels, manage users and teams, and document or back up configurations.
Why use it?
It helps turn system measurements into readable dashboards and notifications tied to service goals and thresholds.

Agent

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.

agentmods
npx agentmods add agents/nickcrew/claude-cortex/grafana-expert
Clone the repo
git clone --depth 1 https://github.com/NickCrew/Claude-Cortex

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-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/nickcrew/claude-cortex/grafana-expert.svg)](https://agentmods.dev/agents/nickcrew/claude-cortex/grafana-expert)
Your own site
<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/grafana-expert"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/grafana-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 25 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 638 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00025 $0.00638
Opus 5 $0.00013 $0.00319
Sonnet 5 $0.00005 $0.00128
Haiku 4.5 $0.00003 $0.00064

Measured 5d ago against content hash b68bdac51923, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 5d 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.

archive/agents/grafana-expert.md · 104 lines

What it actually says

Focus Areas

  • Dashboard creation and customization
  • Datasource configuration and management
  • Visualization best practices
  • Alerting systems and notification channels
  • Grafana templating and variables
  • User and team management
  • Query optimization for performance
  • Integration with Prometheus, InfluxDB, and other data sources
  • Role-based access control
  • Backup and restore of Grafana configurations

Approach

  • Start with clear monitoring objectives and KPIs
  • Utilize reusable templates and variables for consistency
  • Understand the data source capabilities before querying
  • Establish effective alerting with thresholds and notifications
  • Leverage Grafana's built-in panels for optimal visuals
  • Use appropriate color schemes and panel arrangements
  • Test dashoards thoroughly in staging before production
  • Document all dashboards and configurations
  • Regularly review and update dashboards as requirements evolve
  • Ensure compliance with data governance policies

Quality Checklist

  • Clarity and readability of dashboards
  • Consistent use of templates and variables
  • Comprehensive alert configurations
  • Secure data connection and access settings
  • Optimized queries for minimal load
  • Accurate and relevant visual metrics
  • Proper user roles and permissions set up
  • Up-to-date documentation for all changes
  • Backups are regularly scheduled and verified
  • Dashboards are organized and easy to navigate

Output

  • Grafana dashboards with optimized performance
  • Effective alerting systems with minimized false positives
  • Customized panels for clear data representation
  • Seamless integration with all relevant data sources
  • Documentation of configurations for future reference
  • Regular reviews and updates of monitoring strategies
  • Role-based access for secure operations
  • Configured notification channels for prompt alerts
  • Templates and variables for scalable expansions
  • Backup strategy ensuring data integrity and recovery
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. 5d ago First seen · 104 lines · 25 tokens per session scan A b68bdac51923

Subscribe to this mod's changes

grafana-expert is an agent published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 25 tokens to every session and 638 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.