How do I provide credentials to this skill?

You must set the GRAFANA_STAGING_API_KEY and GRAFANA_PROD_API_KEY environment variables in your terminal before running the skill.

Can I monitor log ingestion costs with this skill?

Yes, it queries Loki for ingestion rates (GB/day), total bytes received, active log streams, and memory chunk usage.

Does it support multiple Grafana environments?

Yes, it is designed to query both staging and production environments simultaneously, provided the respective API keys are configured.

What metrics are tracked for Prometheus billing?

The skill tracks active time series, samples per second (ingestion rate), TSDB storage in bytes, and the top 10 metrics contributing to cardinality.

Can Claude interpret the billing data to suggest optimizations?

Yes, the skill instructions specifically prompt Claude to highlight concerning metrics and suggest cost optimization strategies based on the gathered data.

Grafana Billing & Observability Metrics

Name: Grafana Billing & Observability Metrics
Author: nodnarbnitram

bynodnarbnitram

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分析与监控

Monitors and analyzes Prometheus and Loki billing metrics directly from Grafana to optimize observability costs.

关于

The Grafana Billing Metrics skill empowers Claude to interface with Grafana's data source proxy API, providing real-time visibility into Prometheus and Loki usage. By querying active time series, ingestion rates, and storage consumption across staging and production environments, it helps engineering teams identify high-cardinality metrics and manage log volume before they impact the bottom line. This skill is essential for SREs and DevOps engineers who need to perform rapid cardinality analysis or compare environment usage to suggest data-driven cost optimization strategies.

主要功能

Detailed TSDB and chunk storage usage tracking
Loki ingestion rate and log stream monitoring
Cross-environment billing comparison for Staging and Production
Prometheus cardinality analysis identifying top 10 metrics
1 GitHub stars
JSON output support for automated reporting and processing

使用场景

Investigating sudden spikes in Prometheus active time series counts
Benchmarking log ingestion rates between environments to control Loki costs
Identifying high-cardinality labels that are driving up observability expenses

关于

主要功能

Detailed TSDB and chunk storage usage tracking
Loki ingestion rate and log stream monitoring
Cross-environment billing comparison for Staging and Production
Prometheus cardinality analysis identifying top 10 metrics
1 GitHub stars
JSON output support for automated reporting and processing

使用场景

Investigating sudden spikes in Prometheus active time series counts
Benchmarking log ingestion rates between environments to control Loki costs
Identifying high-cardinality labels that are driving up observability expenses