Tokenchit — AI skill for Claude Code
Read your local AI coding agent logs and render a stat card into your repo.
How to install Tokenchit
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open iyashjayesh/tokenchit and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Tokenchit does
Read your local AI coding agent logs and render a stat card into your repo.
Alternatives in AI
- CliRelay — Self-hosted AI gateway for coding CLIs — one OpenAI/Claude/Gemini/Codex-compatible endpoint, with a multi-tena 1k ★
- Project Butler — Project memory system for AI coding assistants (Claude Code, Cursor, Codex): session logs, project wiki, rules 372 ★
- Artemis — ARTEMIS turns natural-language instructions into reliable Android automation 101 ★
README
tokenchit
**Turn your local AI coding agent logs into a stat card you commit to your README.**
[](https://tokenchit.app/u/iyashjayesh)
That card is this repository's own, generated by the command below and committed as a file. It is not a screenshot and not a hosted image — which is the whole point.
npx -y @tokenchit/cli@latest generate
One command: it finds your agents, shows your stats, writes the card, and puts you on the board — announcing each step before it happens. The scan names each agent and counts as it goes, so a slow disk looks like progress rather than a hang.
Running it often? `npm i -g @tokenchit/cli` and then `tokenchit generate`, which skips npx's registry check on every run.
┃ [1/3] DETECT AGENTS
┃ ● claude-code ~/.claude*/projects/**/*.jsonl
┃ ✓ 3 agents, written to .tokenchit.json
────────────────────────────────────────────────────────────
┃ [2/3] YOUR STATS
┃ 10.6B $7,140 25d 49
┃ TOKENS EQUIV. COST STREAK ACTIVE DAYS
┃
┃ 30d ▅▁▁··▄▆▆▆▅▁▃▅█▃▂▄▂▁▅█▆▂█▇█▅▄█▇ 3.4B in 7d
┃ ✓ wrote tokenchit.svg
────────────────────────────────────────────────────────────
┃ [3/3] THE BOARD
┃ ✓ published as @iyashjayesh — tier: verified
Why this one
**The card is a file, not a URL.** Every comparable tool serves cards from a hosted endpoint, so the image in your README depends on someone else's uptime and rate limits. The canonical project in this genre says of its own service: *"best-effort and can be unreliable due to rate limits and traffic spikes"*, and clamps cards to 12–48 hour caches to survive its API budget. A committed SVG has none of that. GitHub serves it directly, it renders instantly, and it keeps working if this site goes away.
**Nothing leaves your machine unless you ask.** `sync` and `recap` make no network request at all. `publish` is the only command that uploads, it sends daily totals and model names, and `--dry-run` pri
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