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masthead-savings

@masthead-data Updated 2026-10-22

Run the full Masthead FinOps audit across tables, datasets, pipelines, and data models. Same workflow as the Claude Code `/savings` command, invocable as `$masthead-savings` in Codex.

agent-skillsai-agentsbigquerycost-optimizationfinopsmasthead

Install

With your agent

Install OMGSkills skill "masthead-data/for-agents:skills/masthead-savings" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/masthead-data/for-agents /tmp/for-agents && ln -s /tmp/for-agents/skills/masthead-savings ~/.claude/skills/masthead-savings

From README

Masthead FinOps Audit Run the Masthead FinOps advisory workflow, in this order. If the user named a project, dataset, table, or a single area (tables, datasets, pipelines, models), restrict the audit to that and skip the other steps. Call the Masthead MCP tool gettenantsettings once: it returns the insights dataset (masthead-prod. ) and the look-back window every skill below needs. If insightsDataset.enabled is false, stop — BigQuery export is not provisioned for this tenant. Scan for dead-end or unused tables (masthead-storage-savings-with-tables). Evaluate dataset storage billing models and expiration (masthead-storage-savings-with-datasets). Identify orphan or dead-end data pipelines (masthead-compute-savings-with-pipelines). Rebalance Dataform, dbt, or Airflow reservation compute (masthead-compute-savings-with-workload-assignments). Every step is advisory: produce review tables and user-executed scripts, never run bq rm, bq update, or pipeline changes yourself.