Grafana billing

Skill nodnarbnitram/claude-code-extensions/.claude/skills/grafana-billing

Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.From its SKILL.md

Install

npx -y skills add nodnarbnitram/claude-code-extensions --skill grafana-billing

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SKILL.md

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Grafana Billing Metrics Skill

Query key billing metrics from Prometheus and Loki through Grafana's data source proxy API.

Quick Start

# Query both staging and prod (default)
uv run .claude/skills/grafana-billing/scripts/billing_metrics.py

# Query specific environment
uv run .claude/skills/grafana-billing/scripts/billing_metrics.py --env staging
uv run .claude/skills/grafana-billing/scripts/billing_metrics.py --env prod

# JSON output for automation
uv run .claude/skills/grafana-billing/scripts/billing_metrics.py --json

# Filter to specific service
uv run .claude/skills/grafana-billing/scripts/billing_metrics.py --service prometheus
uv run .claude/skills/grafana-billing/scripts/billing_metrics.py --service loki

Environment Variables Required

GRAFANA_STAGING_API_KEY - API key for staging Grafana workspace
GRAFANA_PROD_API_KEY - API key for prod Grafana workspace

Key Metrics Captured

Prometheus

Metric	Description
Active Time Series	Current count of active series (billing dimension)
Samples/sec	Ingestion rate (DPM = samples/sec * 60)
TSDB Storage	On-disk storage bytes
Top Cardinality	Top 10 metrics by series count

Loki

Metric	Description
Ingestion Rate	GB/day being ingested
Total Bytes	Cumulative bytes received
Active Streams	Number of active log streams
Memory Chunks	Chunks held in memory

When to Use

Use this skill when the user asks about:

Observability billing or costs
Active time series counts
Prometheus cardinality analysis
Loki ingestion rates
Storage usage for metrics or logs
Comparing staging vs production usage

Instructions for Claude

Run the billing metrics script to gather current data
Present the results in a clear, formatted way
Highlight any concerning metrics (high cardinality, rapid growth)
Compare staging vs prod if both are queried
Suggest cost optimization if metrics are unusually high

Critical Rules

Always check that API keys are set before running
Use --json flag when you need to process the output programmatically
Default to querying both environments for comparison
Handle errors gracefully - missing data sources should not crash the script