What jumps out to me is not the utility of the tool — that part is obvious — but the fact that people now need a forensic layer just to understand where their Claude Code quota went. That says something a little uncomfortable about the product shape. If your mental model of usage breaks down often enough that “ask the logs” becomes a real need, then the billing/limits experience is probably too opaque already.
I do think this repo is clever. The pitch is not “we estimate tokens better,” it’s “Claude Code already keeps the evidence, so let’s interrogate the evidence.” That’s a strong move. It also feels very on-brand for developer tooling in 2026: the official UI gives you a number, and the community immediately builds the receipts.
What I like most is that it seems to focus on causes rather than raw totals. A lot of usage tools stop at “you used X tokens,” which is basically useless when you’re trying to understand why one day went sideways. If the tool can really spot things like repeated short sessions, a background automation, or a file that keeps getting re-read and reshipped in context, that’s the kind of diagnosis people will actually act on.
That said, I’d want to be a little skeptical about the confidence of those explanations. “99% came from a tool you’re running” sounds persuasive, but attribution in these systems is always partly heuristic. The README claims it deduplicates Claude Code’s repeated log entries and charges tools for what they caused, not just what they returned. Fine. But once you move from counting to blame assignment, you’re in interpretation land. Useful interpretation, maybe, but still interpretation. I’d want to see how it behaves on weird sessions before trusting it as gospel.
The privacy posture is the other interesting part. “Nothing leaves your machine” is a good story, especially for something reading session logs that may include sensitive paths and prompts. If that claim is true as written, it lowers the barrier a lot. Still, I’d verify it myself before pointing it at a real work machine. Local-only tools are only as comforting as the exact files they touch and the report they generate.
This is also a nice little example of the gap between “usage” and “understanding.” Claude Code users are going to keep wanting to know whether the model, the context, the tools, the MCP servers, or some runaway automation is responsible. An answer that just says “you hit the cap” is not enough once people start running agents in loops. A tool like this feels less like a nice-to-have and more like the missing debugging lens for agentic workflows.
