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process-monitor-dashboard过程监控仪表板

Agent Skill

process-monitor-dashboard 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,945

周安装

202

GitHub Stars

公开资料未说明

下载量

1,762
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:process-monitor-dashboard(过程监控仪表板)
来源仓库:https://github.com/derick001/process-monitor-dashboard
安装命令:
openclaw skills install process-monitor-dashboard
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install process-monitor-dashboard

简介

实时监控终端进程与系统资源使用情况。

  • 适用于 OpenClaw 环境中的性能监控和故障排查场景。
  • 通过仪表板查看 CPU、内存及进程状态等关键指标。
  • 安装命令:openclaw skills install process-monitor-dashboard。
  • 需确认是否涉及敏感权限或生产环境操作风险。

SKILL.md

name
process-monitor-dashboard
description
Monitor system processes, resource usage, and performance metrics with real-time terminal dashboard.
version
1.0.0
author
skill-factory
metadata
openclaw
requires
bins
libs

Process Monitor Dashboard

What This Does

A real-time terminal dashboard for monitoring system processes and resource usage. Provides a live, updating view of CPU, memory, disk, network, and running processes—all within your terminal.

Key features:

  • Real-time CPU monitoring - Overall usage + per‑core breakdown
  • Memory dashboard - RAM usage, swap, detailed memory stats
  • Disk I/O & usage - Read/write rates, free space per filesystem
  • Network activity - Upload/download speeds, connections
  • Process list - Top processes by CPU/memory, with sorting options
  • Refresh control - Adjustable update interval (1–10 seconds)
  • Color‑coded alerts - Highlight high resource usage
  • Lightweight - Minimal overhead, runs in background

How To Use

Start the dashboard:

./scripts/main.py dashboard

Monitor with custom interval (3 seconds):

./scripts/main.py dashboard --interval 3

Get a single snapshot (no continuous updates):

./scripts/main.py snapshot

List top N processes by CPU:

./scripts/main.py top --by cpu --limit 10

List top N processes by memory:

./scripts/main.py top --by memory --limit 10

Monitor a specific process by PID:

./scripts/main.py monitor --pid 1234

Full command reference:

./scripts/main.py help

Commands

  • dashboard: Start interactive real‑time dashboard

- --interval: Refresh interval in seconds (default: 2) - --simple: Simplified view (no per‑core/disk details) - --log: Also write metrics to a log file

  • snapshot: Print a one‑time system snapshot

- --json: Output as JSON for scripting

  • top: Show top processes

- --by: Sort by cpu, memory, disk, name (default: cpu) - --limit: Number of processes to show (default: 10) - --user: Filter by username - --json: Output as JSON

  • monitor: Monitor a specific process

- --pid: Process ID to monitor (required) - --interval: Refresh interval (default: 2) - --watch: Watch for process creation/termination

  • stats: Show system‑wide statistics

- --cpu: CPU details only - --memory: Memory details only - --disk: Disk details only - --network: Network details only - --json: Output as JSON

  • alert: Check for resource alerts

- --threshold-cpu: CPU alert threshold % (default: 90) - --threshold-memory: Memory alert threshold % (default: 85) - --threshold-disk: Disk alert threshold % (default: 90)

Output Examples

Dashboard view (sample):

─────────────────────────────────────────────────────
 System Monitor | Refresh: 2s | 2026‑03‑16 10:30:00 UTC
─────────────────────────────────────────────────────
CPU:  ███████░░░ 72%   Memory:  █████████░ 92% (8.2/12 GB)
Core 0: 65%  Core 1: 78%  Core 2: 70%  Core 3: 75%

Top Processes (by CPU):
   PID USER     CPU% MEM% COMMAND
  1234 alice    45.2 12.3 python3 /app/server.py
  5678 bob      22.1  5.8 /usr/bin/node index.js
  9101 root     10.5  0.3 systemd-journal

Disk: /  █████░░░░ 52% free   Network: ▲ 1.2 MB/s ▼ 4.5 MB/s
─────────────────────────────────────────────────────

JSON snapshot (via --json):

{
  "timestamp": "2026-03-16T10:30:00Z",
  "cpu": {
    "total_percent": 72.5,
    "per_core": [65.2, 78.1, 70.3, 75.0],
    "load_average": [1.2, 1.5, 1.8]
  },
  "memory": {
    "total_gb": 12.0,
    "used_gb": 8.2,
    "percent": 68.3,
    "swap_used_gb": 0.5
  },
  "processes": [
    {"pid": 1234, "name": "python3", "cpu_percent": 45.2, "memory_percent": 12.3}
  ]
}

Installation Notes

Requires Python 3.6+ and psutil library. Install with:

pip install psutil

On most systems, psutil is available via package managers:

# Debian/Ubuntu
sudo apt install python3-psutil

# RHEL/CentOS
sudo yum install python3-psutil

# macOS
brew install psutil

Limitations

  • Terminal size - Dashboard optimized for terminals ≥ 80 columns
  • Refresh rate - Very fast intervals (<1s) may cause high CPU
  • Platform support - Best on Linux/macOS; Windows support limited
  • Process details - Some process information may require root
  • Historical data - No built‑in long‑term trending (single‑session only)
  • No remote monitoring - Only monitors the local system
  • No alert actions - Only displays warnings, doesn’t auto‑resolve issues

Security Considerations

  • Only reads system metrics (no writes or modifications)
  • Doesn’t require root/sudo for basic operation
  • No network listening or external connections
  • All data stays local; no telemetry
  • Process listing may reveal running applications (same as ps/top)

Examples

Basic dashboard (2‑second updates):

./scripts/main.py dashboard

Lightweight dashboard (simple view, 3‑second updates):

./scripts/main.py dashboard --simple --interval 3

Get a JSON snapshot for scripting:

./scripts/main.py snapshot --json > system.json

Find top 5 memory‑hungry processes:

./scripts/main.py top --by memory --limit 5

Monitor a specific web server:

./scripts/main.py monitor --pid $(pgrep -f "nginx") --interval 5

Check for resource alerts:

./scripts/main.py alert --threshold-cpu 95 --threshold-memory 90

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

70.63%
按下载量换算1,245

安全审计

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权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install process-monitor-dashboard 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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