⚠️Install with caution. This skill has very few installs. Always review the source and verify it on clawhub.ai before installing. Community-built skills run with agent permissions — only install ones you trust.

💹 Market & Finance Data

Token Usage Dashboardv1.0.0

Name: Token Usage Dashboard
Author: bkes994408-cmd

token-usage-dashboard

bkes994408-cmd

Use CodexBar CLI local cost usage to summarize per-model usage for Codex or Claude, including the current (most recent) model or a full model breakdown. Trig...

latest

Download Package View on ClawHub

Installs (all time)

Installs (current)

Downloads

662

Stars

CreatedMar 17, 2026

UpdatedMay 1, 2026

Install & Quick Start

Install via ClawdBot CLI:

clawdbot install bkes994408-cmd/token-usage-dashboard

Skill Package14 files

📋SKILL.mdmarkdown

Failed to load file.

Quality Score

B60/100

Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.

Market Validation6/35

· 492 downloads (low demand)
· 3 installs (very low)

Documentation18/25

· SKILL.md present
· Moderate documentation (≥1500 chars)
· Contains usage examples or trigger description
· Detailed summary

Package Completeness11/15

· skillAssets present (13 files)

Security Analysis

💙 Low Risk

UNKNOWN_DATA_SINKhigh

Sends data to undocumented external endpoint (potential exfiltration)

webhook → https://hooks.slack.com/services/xxx/yyy/zzz

UNDOCUMENTED_EXTERNALlow

Calls external URL not in known-safe list

https://github.com/bkes994408-cmd/token-usage-dashboard.git

KNOWN_EXTERNALlow

Uses known external API (expected, informational)

slack.com

AI Analysis

The skill's primary function is to process local cost logs from a known CLI tool (CodexBar) and does not inherently send user data externally. The Slack webhook reference appears to be a placeholder example for notifications, not an active data sink within the skill's core logic. The external Git URL is likely a repository reference for installation, not a runtime call.

💡

Usage Guide

Generated Jul 10, 2026

DevelopersDevOps engineersFinOps teamsbeginner

💡 Application Scenarios

AI Cost Optimization for SaaS StartupsSoftware as a Service

A SaaS startup using Azure OpenAI can analyze per-model token usage daily or monthly. The dashboard identifies cost spikes and helps switch to cheaper models like GPT-4o-mini for non-critical tasks.

Enterprise AI GovernanceEnterprise Technology

Large enterprises track model-level costs across multiple departments. The dashboard provides a summary of model usage for budgeting and compliance, ensuring no team exceeds its allocated AI spend.

Freelance AI DevelopmentFreelance Development

Freelance developers using Codex or Claude generate cost reports per project. They can quickly see which client projects consume the most AI resources and adjust pricing accordingly.

Educational AI ResearchEducation

Universities with limited budgets monitor model usage across research groups. The dashboard helps identify cost-saving opportunities by selecting appropriate models for specific experiments.

AI-Powered Customer SupportCustomer Support

Customer support teams using Codex for ticket summarization can track cost per model. The dashboard reveals usage patterns and supports decisions to fine-tune a cheaper model for routine queries.

💼 Business Models

Usage-Based PricingPer-token fees from clients

Companies resell AI capabilities to clients. They use the dashboard to bill clients based on actual model-level usage, ensuring transparent and fair pricing.

Internal Cost Center AllocationInternal transfers

Large organizations allocate AI costs to business units. The dashboard provides accurate per-model cost breakdowns, enabling chargebacks and budget accountability.

AI Expense Auditing ServiceConsulting fees

Consultants offer auditing of AI spend. Using the dashboard, they identify inefficiencies and recommend model switches, generating consulting revenue.

💬 Integration Tip

Install CodexBar via Homebrew, then run the script with your preferred provider and mode. For automated workflows, pipe cost JSON into the script for scriptable summaries.