usage-board
skill
Pass
Health Pass
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 15 GitHub stars
Code Pass
- Code scan — Scanned 12 files during light audit, no dangerous patterns found
Permissions Pass
- Permissions — No dangerous permissions requested
Purpose
This is a local dashboard tool designed to analyze and visualize AI coding token usage, costs, and session metrics from local JSON files. It runs as a web application on your local machine.
Security Assessment
Overall Risk: Low. The tool processes local JSON files to generate usage statistics and does not request dangerous system permissions. A code scan of 12 files found no hardcoded secrets or dangerous patterns. While the Quick Start relies on `npx` to fetch and execute remote code (which inherently carries a minor risk of supply chain attacks), the requested permissions are safe, and there are no signs of malicious outbound network requests.
Quality Assessment
The project is in excellent health and actively maintained, with its most recent updates pushed just today. It uses the highly permissive MIT license and has garnered 15 GitHub stars, showing a basic level of community trust and usefulness. The repository includes a clear description and comprehensive setup instructions for both end-users and developers.
Verdict
Safe to use.
This is a local dashboard tool designed to analyze and visualize AI coding token usage, costs, and session metrics from local JSON files. It runs as a web application on your local machine.
Security Assessment
Overall Risk: Low. The tool processes local JSON files to generate usage statistics and does not request dangerous system permissions. A code scan of 12 files found no hardcoded secrets or dangerous patterns. While the Quick Start relies on `npx` to fetch and execute remote code (which inherently carries a minor risk of supply chain attacks), the requested permissions are safe, and there are no signs of malicious outbound network requests.
Quality Assessment
The project is in excellent health and actively maintained, with its most recent updates pushed just today. It uses the highly permissive MIT license and has garnered 15 GitHub stars, showing a basic level of community trust and usefulness. The repository includes a clear description and comprehensive setup instructions for both end-users and developers.
Verdict
Safe to use.
An all-in-one dashboard to quickly analyze token usage from local json files
README.md
usage-board
An all-in-one dashboard to quickly analyze token usage from local json files
Quick Start
npx usage-board@latest
After starting, follow the terminal prompts to open the local page and view the usage dashboard.
Features
- Overview of core metrics: AI Coding token usage, costs, session counts
- Daily token consumption and cost trends by date
- Monthly statistics for model usage distribution and consumption changes
- Project-based analysis of token and cost distribution
- Session-level usage details including model, duration, input tokens, output tokens, cache tokens, and costs
- Codex usage data dashboard with multi-dimensional views (daily, weekly, monthly, by session)
- Token heatmap for quickly identifying high-frequency or high-consumption dates
- Cache hit and token efficiency metrics to help optimize usage costs
- Built with Nuxt, suitable for extending into team or personal AI usage analysis tools
Development
Install dependencies:
pnpm install
Start the local development server:
pnpm dev
Default access URL:
http://localhost:3000
Common development commands:
# Type checking
pnpm typecheck
# Linting
pnpm lint
# Auto-fix code style
pnpm lint:fix
# Build for production
pnpm build
# Preview production build locally
pnpm preview
License
This project is open-sourced under the MIT License.
This project is extended from ryoppippi/ccusage. Thanks to the original project author and community contributors.
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