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by JingbiaoMei · Codex Skill · ★ 58
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English | 中文 Local token & cost dashboard for AI coding tools <img src="https://raw.git
| Stars | 58 |
| Forks | 10 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 74.6906345129949/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-18 |
| Created | 2026-02-24 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~17k |
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Tokdash is Agent Dashboard: Visualization and analytics for Sessions and Quota Usage. Track, analyze, and optimize token usage across providers with heatmaps, cost tracking, token counting and quota resets... It is categorized as a Codex Skill with 58 GitHub stars.
Tokdash is primarily written in Python. It covers topics such as agent, analytics, anthropic.
You can find installation instructions and usage details in the Tokdash GitHub repository at github.com/JingbiaoMei/Tokdash. The project has 58 stars and 10 forks, indicating an active community.
Tokdash is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Tokdash on Agent Skills Hub include codex-viz, WhereMyTokens, untether. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.