Claude-Code-Usage-Monitor: Real-time Claude Code usage monitor with predictions and warnings

by Maciek-roboblog · Claude Skill · ★ 8.7k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install Claude-Code-Usage-Monitor

git clone https://github.com/Maciek-roboblog/Claude-Code-Usage-Monitor.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 70/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aianalyticsclaudeclaude-codeclaude-usagelimitsmonitoringterminalusage-tracking

Quick Facts

Stars8,712
Forks460
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score70/100
Open Issues37
Last Updated2026-07-05
Created2025-06-19
Platformsclaude-code, python
Est. Tokens~22k

About Claude-Code-Usage-Monitor

🎯 Claude Code Usage Monitor A beautiful real-time terminal monitoring tool for Claude AI token usage with advanced analytics, machine learning-based predictions, and Rich UI. Track your token consumption, burn rate, cost analysis, and get intelligent predictions about session limits.

Compatible Skills

These tools work well together with Claude-Code-Usage-Monitor for enhanced workflows:

  • agents — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • sleepless-agent — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • Continuous-Claude-v3 — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (52%)
  • claude-skills — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools