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DanWahlin DanWahlin

Claw Monitor

Development community

Description

TUI monitor for OpenClaw sub-agents and more

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

🦞 claw-monitor

![claw-monitor demo](https://img.shields.io/badge/status-beta-yellow)

A terminal dashboard for monitoring [OpenClaw](https://github.com/openclaw/openclaw) agents, cron jobs, Docker containers, and system resources in real-time on Linux/WSL or MacOS.

Cron jobs and system stats

Features

Sub-Agent Monitoring

  • Live session tracking — Watch sub-agents work in real-time with status updates
  • Session labels — Shows spawn labels for easy identification
  • Tool activity — Displays the current tool being executed and total tool calls
  • Elapsed time — Track how long each session has been running
  • Agent detail view — Select agents with arrow keys and press Enter to expand (recent tools, errors, full label)
  • Toggle modes — Switch between "running only" and "all recent" views (a key)

Coding Agent Detection

  • Process monitoring — Detects running Claude Code, Copilot CLI, and Codex processes
  • Attach commands — Jump into any coding agent's interactive tmux session
  • PID and runtime — See process IDs and cumulative CPU time

Cron Job Dashboard

  • OpenClaw cron jobs — Lists every job with name, schedule, model, next run, and last duration
  • System cron jobs — Shows root crontab entries with schedule, next run, and last run
  • Human-readable schedules — Translates cron expressions to readable format (Mon 13:00, every 15m, Tue,Fri 06:00)
  • Relative next-run times — Shows when each job fires next (in 8m, in 4d)
  • Error tracking — Highlights failing jobs with consecutive error counts
  • Running indicator — Shows which jobs are actively executing
  • Sorted by next run — Soonest jobs appear first

System Resources & Docker

  • CPU / Memory / Disk — Color-coded bar charts with usage percentages and details
  • GPU monitoring — NVIDIA GPU usage via nvidia-smi (auto-detected)
  • Docker containers — Shows ru