by vibe-cafe · Codex Skill · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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vibe-usage Track your AI coding tool token usage and sync to vibecafe.ai. Quick Start That's it. The CLI opens vibecafe.ai/usage/device in your browser; sign in, confirm the verification code shown in your terminal, click 「确认链接」, and the CLI receives an API key automatically. After approval, it will: Save your API key to Detect installed AI coding tools Run an initial sync of your usage data Prompt you to enable the background daemon for continuous syncing (recommended) CI / Headless If you don't have a local browser (CI, remote SSH session, container), pre-issue a key at vibecafe.ai/usage/setup and pass it on the command line: Commands bash npx @vibe-cafe/vibe-usage # Init (first run, browser login) or sync (subsequent runs) npx @vibe-cafe/vibe-usage init # Re-run setup via browser login npx @vibe-cafe/vibe-usage init --manual-key # Skip browser, use pre-issued key (CI/headless) npx @vibe-cafe/vibe-usage sync # Manual sync npx @vibe-cafe/vibe-usage summary # Print last 7 days as markdown (cost / tokens / by model / by project) npx @vibe-cafe/vibe-usage summary --days N # Same, over the last N days (1-90) npx @vibe-cafe/vibe-usage daemon # Continuous sync (e
| Stars | 93 |
| Forks | 26 |
| Language | JavaScript |
| Category | Codex Skill |
| Quality Score | 70.013971204523/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-02 |
| Created | 2026-02-24 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~15k |
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vibe-usage is Token 使用量统计工具（CLI）. It is categorized as a Codex Skill with 93 GitHub stars.
vibe-usage is primarily written in JavaScript. It covers topics such as claude-code, codex, hermes.
You can find installation instructions and usage details in the vibe-usage GitHub repository at github.com/vibe-cafe/vibe-usage. The project has 93 stars and 26 forks, indicating an active community.
The top alternatives to vibe-usage on Agent Skills Hub include kindly-web-search-mcp-server, lacp, maestro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.