grafana-billing
Skill16 starsChanged 7 months agoMITView on GitHub
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
- Reads credentials
In this repository23 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
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The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 53
Use this skill when the user asks about:
- Distinctive: line 63
Run the billing metrics script to gather current data
- Distinctive: line 71
Always check that API keys are set before running
- Very specific: line 72
Use --json flag when you need to process the output programmatically
- Distinctive: line 73
Default to querying both environments for comparison
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 lokiEnvironment Variables Required
GRAFANA_STAGING_API_KEY- API key for staging Grafana workspaceGRAFANA_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
--jsonflag 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
Does it work?
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