
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-codeInstalls 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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