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metrik

Skill Development Poor
Works inClaude Code
Poor Scanned — metadata only

Centralized quota and token consumption monitoring across multiple AI service providers reduces unexpected API failures, optimizes costs, and prevents overag…

Metrik 可以集中查看本机多个 Agent 的配额余量和 Token 消耗,目前支持 ChatGPT、Claude、GLM、Kimi 等主流 AI 服务。

106 starsAGPL-3.0 (check with legal)FreeQuick setup
Below standard — Significant caveats apply. Not recommended without careful review of the security and evaluation sections.

Centralized quota and token consumption monitoring across multiple AI service providers reduces unexpected API failures, optimizes costs, and prevents overages that disrupt development workflows.

Engineering teams managing multiple AI API integrations needing unified visibility into usage and quota limits.

Claude Code Claude Cowork Claude Chat

https://github.com/keros68/metrik

By keros68

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install keros68/metrik

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.

First thing to try

After installing, paste this into Claude:

Help me monitor Claude token usage across multiple local AI agents simultaneously
CostFree

Trust Signals Auto-scanned

Stars106Contributors5Last updated2026-10-25LicenseAGPL-3.0 (check with legal)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-27 · scanner v1

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): 95 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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.
  • License (AGPL-3.0) may restrict commercial use. Check with your legal team.

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

Ease of Use
1/5
Versatility
3/5
Reliability
3/5
Security
3/5
Overall score2.30 / 5.00 PoorEvaluatedSep 2026
Scored from trust signals (evidence-eval-v1): 95 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.

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