I Built a Local Usage Intelligence Dashboard for Claude Code

说明与用途

开发者现在拥有一个本地仪表盘，用于分析 Claude Code 的令牌使用和成本，而无需将数据发送到云端。

问题

Developers need to understand token consumption, cost, and cache behavior of Claude Code without sending data to external services.

结果

Engineers can now see token consumption per project, identify expensive sessions, verify cache effectiveness, and track usage trends—all locally and privately.

工作流

• 1. Install CC Token Meter from GitHub.
• 2. Run the tool to parse Claude Code’s local transcript files.
• 3. The parser builds a private usage index.
• 4. Analytics compute token counts, estimated cost, cache hits, and project attribution.
• 5. A local web dashboard visualizes the insights.
• 6. Review dashboards to identify high‑cost projects, sessions, and cache inefficiencies.

证据

Instead of intercepting Claude Code requests or introducing another cloud service, CC Token Meter works from the session data Claude Code already stores locally.

来源