What problem does it solve? Token usage numbers are often estimated by the model itself, which is unreliable. This Skill reads the real JSONL session log on disk to report actual input/output token counts and estimated savings versus a non-caveman baseline, eliminating guesswork. ## Core Features & Use Cases - Real Token Receipts: Parses the Claude Code session log directly so input and output token counts come from disk, not AI estimation. - Savings Baseline: Computes estimated savings versus a non-caveman baseline and reports a percentage saved. - Statusline Integration: Writes a lifetime-savings suffix file consumed by the statusline badge (e.g., ⛏ 12.4k). - Use Case: After a long coding session, run /caveman-stats to see exactly how many tokens were used and how many were saved compared to a standard session. ## Quick Start Type /caveman-stats in your Claude Code session to display the current session's real token usage and savings.