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Token Dashboard Claude Analytics

If you've ever wondered which Claude Code prompts are costing you the most tokens, this gives you the answer in a local dashboard. It scans the JSONL transcripts Claude writes to `~/.claude/projects/`, caches everything in SQLite, and shows per-prompt breakdowns, cache hit rates, and project comparisons at `127.0.0.1:8080`. No npm, no build step, just Python 3.8+ and a single `cli.py dashboard` command. The tips tab is legitimately useful for spotting repeated file reads or oversized tool results. Everything stays local, which matters when you're analyzing your own usage patterns. Solid for anyone on Pro or Max who wants visibility into where their tokens actually go.

skills.sh installs
201
GitHub stars
26
last updated
Jun 3, 2026

Install

$ npx -y skills add aradotso/trending-skills --skill token-dashboard-claude-analytics --agent claude-code

Installs into .claude/skills of the current project.

Files

Token Dashboard — Claude Code Analytics

Skill by ara.so — Daily 2026 Skills collection.

Token Dashboard reads the JSONL transcripts Claude Code writes to ~/.claude/projects/ and turns them into per-prompt cost analytics, tool/file heatmaps, cache analytics, project comparisons, and a rule-based tips engine. Everything runs locally — no data leaves your machine.

Installation

git clone https://github.com/nateherkai/token-dashboard.git
cd token-dashboard
python3 cli.py dashboard

No pip install. No Node.js. No build step. Requires Python 3.8+.

Windows:

git clone https://github.com/nateherkai/token-dashboard.git
cd token-dashboard
py -3 cli.py dashboard

Key CLI Commands

# Start the full dashboard UI at http://127.0.0.1:8080
python3 cli.py dashboard

# Populate/refresh the SQLite cache, then exit
python3 cli.py scan

# Print today's totals in the terminal
python3 cli.py today

# Print all-time totals in the terminal
python3 cli.py stats

# Show active optimization tips in terminal
python3 cli.py tips

Sponsors

Details

Repository
github.com/aradotso/trending-skills
Categories
Data Science & ML, Marketing & SEO
First seen
Jun 3, 2026

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