As the enterprise administrator for a GitHub Enterprise Cloud account, you are asked by finance to explain a sharp month-over-month increase in the GitHub Actions bill. You need to identify which repositories and workflows are driving the additional minute consumption, broken down by runner operating system, before recommending optimizations. Which approach gives you the most granular, per-line data to attribute cost to specific repositories and runner types?