Tokenchit
Description
Read your local AI coding agent logs and render a stat card into your repo.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
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
Related Skills
Agency Agents
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy inject
AI Awesome Llm Apps
100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
AI Firecrawl
🔥 The API to search, scrape, and interact with the web for AI
AI Artifacts Builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web tech
AI Headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agen
AI CrewAI
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewA
AI