Cost
Work through Claude Code cost per engineer with explicit token inputs and illustrative scenarios.
Investigate a change in the bill, or price GitHub Copilot per engineer.
See how Claude Code and Codex usage changed this week, per engineer, team, model and repo. Local usage is estimated at API list rates; subscription-covered usage is not an extra bill. Check actual charges on your vendor invoice.
npm install -g @usekibble/cli && kibble login
Free for one person. Login imports available history immediately when automatic collection is on. Setup and privacy details.
Where the +$860 came from
| Maiweb | +$843.60 |
| The other four engineers | +$16.51 |
One engineer on one repo is $844 of it.
Made-up numbers, real arithmetic. Counts, never content.
One usage dashboard across every laptop, CI runner and cloud box: spend, sessions, models, repos and capabilities, this week against last. On a desk or on a phone.
Shown with an example organization's data.
A small CLI, and the logs that already exist.
Sign in with Google, then run one command on each engineer's machine. The collector is open source and short enough to read.
It reads the logs Claude Code and Codex already write and pushes a per-day summary every hour. Vendor-reported estimates sync from your Claude Console and are never summed with the local estimate.
Login imports available history immediately when automatic collection is on, then pushes hourly. Otherwise run kibble push. Owners see totals per person, team, model and repo; each engineer sees their own machines. Visibility, never surveillance.
Review skills with no observed use. See observed Claude Code skill invocations and estimated description context. Review quiet skills, duplicate commands and MCP adoption. Codex records explicit skill selections and recognized command submissions, not automatic skill reads or skill cost attribution. Zero does not mean unused.
Mai's refactor is on Opus 5 with a multi-million-token cache. Sessions like it are the week's biggest lever.
6 of 14 example Claude Code skills have no observed calls. Their descriptions total an estimated 4.1k tokens. Check coverage and intended use before pruning.
Two teams installed their own release command. Merge them into one, then watch the adopters column.
From the example week. Made-up numbers, real arithmetic.
Counts, nothing else.
The collector is open source and short enough to read; the ingest schema rejects anything unexpected.
Two machines, every agent on them. Spend per model and repo, this week against last. 30 days of history.
Start freeSpend per engineer, team, model and repo across the org. Teams, roles and invitations. Vendor-reported estimates from your Claude Console. All history, any number of machines. First subscription: 30 days free, card required. Then $5 per person a month past 30, prorated.
Start with your teamThe short answers, in one place. The long ones are in the collector's source.
npm install -g @usekibble/cli && kibble login. The CLI derives daily summaries from the session logs the agents already write. When automatic collection is enabled, login sends available usage immediately and schedules hourly pushes. The first sync includes today and the preceding 29 UTC days where local logs exist. If automatic collection is off, run kibble push manually.How this differs from a proxy or a per-laptop tool is on the comparison page.
Work through Claude Code cost per engineer with explicit token inputs and illustrative scenarios.
Investigate a change in the bill, or price GitHub Copilot per engineer.
Set up Kibble and check collection, then compare ccusage and team reporting.
See Codex usage on every machine and track GitHub Copilot across the team.
Review which skills the team uses and evaluate AI costs beside delivery outcomes.
Kibble (usekibble.com) is a Claude Code and Codex usage dashboard for teams, built in Japan. The collector is open source; the guides explain its methods and limits.
npm install -g @usekibble/cli && kibble login
Sign in with Google. The first import runs on login when automatic collection is on.