grafana-billing
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
- Installs
- 67
- Last 24h
- —
- Trending rank
- —
- Security
- Not audited
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/nodnarbnitram/claude-code-extensions --skill grafana-billing- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads grafana-billing automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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 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
FAQ
What does the grafana-billing skill do?
Query Prometheus and Loki billing metrics from Grafana. Use when discussing observability costs, active series, ingestion rates, storage usage, or cardinality analysis.
How do I install grafana-billing?
Run npx skills add https://github.com/nodnarbnitram/claude-code-extensions --skill grafana-billing in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/grafana-billing/ (personal) or .claude/skills/grafana-billing/ (project).
Which AI agents can use grafana-billing?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is grafana-billing safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains grafana-billing?
It is published by nodnarbnitram in nodnarbnitram/claude-code-extensions. It has 67 recorded installs.
More from nodnarbnitram/claude-code-extensions
tauri-v2
nodnarbnitram/claude-code-extensions
Tauri v2+ cross-platform app development with Rust backend. Use when configuring tauri.conf.json, implementing Rust commands ([tauri::command]), setting up IPC patterns (invoke, emit, channels), configuring permissions/capabilities, troubleshooting build issues, or deploying desktop/mobile apps. Triggers on Tauri, src-tauri, invoke, emit, capabilities.json.
code-reviewer
nodnarbnitram/claude-code-extensions
Review code for best practices, security issues, and potential bugs. Use when reviewing code changes, checking PRs, analyzing code quality, or performing security audits.
ha-voice
nodnarbnitram/claude-code-extensions
Configure Home Assistant Assist voice control with pipelines, intents, wake words, and speech processing. Use when setting up voice control, creating custom intents, configuring TTS/STT, or building voice satellites. Activates on keywords: Assist, voice control, wake word, intent, sentence, TTS, STT, Piper, Whisper, Wyoming.
esphome-config-helper
nodnarbnitram/claude-code-extensions
Open the skill to read its SKILL.md instructions.
frigate-configurator
nodnarbnitram/claude-code-extensions
Open the skill to read its SKILL.md instructions.
ha-energy
nodnarbnitram/claude-code-extensions
Open the skill to read its SKILL.md instructions.
Popular devops & cloud skills
microsoft-foundry
microsoft/azure-skills
Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure
azure-diagnostics
microsoft/azure-skills
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, container app 503 or target port mismatch, troubleshoot functions, function telemetry missing or stopped after a config/connection-string change, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, analyze logs, KQL, insights, image pull failures, cold start issues, health probe failures, resource health, root cause of errors, troubleshoot event hubs, troubleshoot service bus, messaging SDK error, AMQP connection failure, message lock lost, lock renewal during long-running processing, service bus dead letter.
azure-prepare
microsoft/azure-skills
Prepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Terraform), and Dockerfiles for the Azure Developer CLI (azd) workflow. USE ONLY when the user explicitly wants to use azd as the deployment tool, or the project already has an azure.yaml file. DO NOT USE FOR: non-azd deployments, Python App Service code-only deploys (use python-appservice-deploy), or cross-cloud migration (use azure-cloud-migrate). WHEN: prepare app for azd, create azure.yaml, set up azd infrastructure, modernize app for Azure with azd, deploy with azd, function app, timer trigger, service bus trigger, event-driven function, managed identity, generate Bicep, generate Terraform, create and deploy to Azure.
azure-ai
microsoft/azure-skills
Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector/hybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.
azure-deploy
microsoft/azure-skills
Execute Azure deployments for ALREADY-PREPARED applications that have existing .azure/deployment-plan.md and infrastructure files. DO NOT use this skill when the user asks to CREATE a new application — use azure-prepare instead. This skill runs azd up, azd deploy, terraform apply, and az deployment commands with built-in error recovery. Requires .azure/deployment-plan.md from azure-prepare and validated status from azure-validate. WHEN: "run azd up", "run azd deploy", "execute deployment", "push to production", "push to cloud", "go live", "ship it", "bicep deploy", "terraform apply", "publish to Azure", "launch on Azure". DO NOT USE WHEN: "create and deploy", "build and deploy", "create a new app", "set up infrastructure", "create and deploy to Azure using Terraform" — use azure-prepare for these.
azure-validate
microsoft/azure-skills
Pre-deployment validation for Azure readiness. Run deep checks on configuration, infrastructure (Bicep or Terraform), RBAC role assignments, managed identity permissions, and prerequisites before deploying. WHEN: validate my app, check deployment readiness, run preflight checks, verify configuration, check if ready to deploy, validate azure.yaml, validate Bicep, test before deploying, troubleshoot deployment errors, validate Azure Functions, validate function app, validate serverless deployment, verify RBAC roles, check role assignments, review managed identity permissions, what-if analysis, validate Container Apps deployment.