token-tracker
Tracks token consumption across AI coding assistants in real time, exposing hidden usage costs and preventing budget overruns in high-volume development envi…
Claude Code & Codex 本地 token 追踪 — 状态栏(Codex 业界首创伪 statusline)、GitHub 风格热力图、多模型成本分析。 | Local token tracker for Claude Code & Codex — status line (industry-first Codex faux statusline), GitHub-style heatmap, multi-model cost analysis
- Track token usage across Claude models in real-time during development sessions
- Analyze API costs by model to optimize which Claude version to use for tasks
- Visualize coding activity patterns with GitHub-style heatmaps over time
Tracks token consumption across AI coding assistants in real time, exposing hidden usage costs and preventing budget overruns in high-volume development environments.
Engineering teams using Claude or Codex extensively who need visibility into per-developer token spend and cost allocation.
https://github.com/stormzhang/token-tracker
By stormzhang
How to Get It
claude plugins install stormzhang/token-tracker
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me track token usage across Claude models in real-time during development sessions
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 462 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 462 GitHub stars; contributors unknown; last commit 0d ago; license MIT.