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tommy-monitoring-dashboard汤米监控仪表板

Agent Skill

tommy-monitoring-dashboard 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。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

11,291

周安装

485

GitHub Stars

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下载量

3,958
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:tommy-monitoring-dashboard(汤米监控仪表板)
来源仓库:https://github.com/keylimesoda/tommy-monitoring-dashboard
安装命令:
openclaw skills install tommy-monitoring-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 tommy-monitoring-dashboard

简介

提供零令牌实时 Discord 监控仪表板,展示系统运行状况。

  • 适用于 cron 作业、会话与性能分析的可视化管理。
  • 通过 clawhub 安装,需配置 Discord Webhook 与持久化存储。
  • 建议检查数据刷新频率与权限隔离策略。tommy-monitoring-dashboard 属于开发类 Skill,可作为该场景下的辅助能力补充。
  • 可参考原始 README 了解指标整理方式与告警集成选项。

SKILL.md

name
live-monitoring-dashboard
description
Zero-token real-time Discord monitoring dashboard for OpenClaw. Displays system health, cron jobs, sessions, and performance analytics via persistent Discord messages updated every 2 minutes with no LLM token cost.
metadata
{ "openclaw": { "emoji": "📊", "requires": { "bins": ["curl", "jq", "top", "df"] } } }

Live Monitoring Dashboard

Zero-Token Real-time Discord monitoring for your OpenClaw ecosystem

What it does

Creates a dedicated Discord channel with live-updating messages showing:

🤖 Activity Monitoring (Slice 1 & 2)

  • Active subagents and their current tasks
  • Running and recent cron jobs with status
  • OpenClaw activity and system processes
  • Session count and activity overview

🖥️ System Health (Slice 3)

  • Real-time CPU, memory, and disk usage
  • System uptime and process monitoring
  • Status indicators with color-coded alerts

📈 Performance Analytics (Slice 4) ✨

  • Historical performance trend analysis
  • Smart threshold-based alerting system
  • Peak usage tracking and pattern detection
  • Configurable alert thresholds

Zero Token Cost: Uses shell scripts + Discord CLI commands instead of expensive LLM calls for 100% cost efficiency.

Updates every 60 seconds with zero message spam - only edits existing messages.

Installation

npm install
./install.sh

Configuration

The skill will:

  1. Create a dedicated monitoring channel (#tommy-monitoring by default)
  2. Post initial dual dashboard messages (Activity + System Health)
  3. Begin live zero-token updates automatically
  4. Initialize performance analytics and alert thresholds

Usage

Once installed, the monitoring runs automatically with these commands:

Manual Performance Tracking:

./scripts/performance-tracker.sh track    # Log current metrics and check alerts
./scripts/performance-tracker.sh trends   # Show performance trends
./scripts/performance-tracker.sh alerts   # View recent alerts
./scripts/performance-tracker.sh cleanup  # Clean old performance data

Configuration: Performance thresholds can be customized in config/performance-config.json:

{
    "cpu_warning": 70,
    "cpu_critical": 85,
    "mem_warning": 75,
    "mem_critical": 90,
    "disk_warning": 80,
    "disk_critical": 95,
    "retention_days": 7
}

Requirements

  • Discord channel configured in OpenClaw
  • message tool available
  • Basic system utilities (ps, top, uptime, df)
  • jq for JSON configuration parsing
  • bc for mathematical calculations

Complete Feature Set (All 4 Slices)

✅ Slice 1 & 2: Discord Activity Monitoring

  • OpenClaw session tracking and activity overview
  • Cron job status monitoring (21+ jobs supported)
  • Subagent detection and lifecycle tracking
  • Process monitoring with real-time updates

✅ Slice 3: System Health Monitoring

  • Real-time CPU/memory/disk usage with smart indicators
  • System uptime tracking and stability monitoring
  • Critical events logging with 10-event circular buffer
  • Status indicators: 🟢 Normal / 🟡 Medium / ⚠️ High / 🚨 Alert

✅ Slice 4: Performance Analytics & Smart Alerts

  • Historical trend analysis: CPU/memory patterns over time
  • Smart threshold alerting: Configurable warning/critical levels
  • Peak usage tracking: Daily maximums and averages
  • Data retention: Configurable history (default 7 days)
  • Alert logging: Comprehensive alert history with timestamps
  • Trend detection: Simple directional analysis (↗️↘️→)

✅ Zero Token Architecture:

  • Shell-based updates: Direct openclaw message edit CLI usage
  • No LLM inference: Pure data collection and formatting
  • 100% cost efficiency: Eliminated 2.8M daily token waste
  • Sustainable operation: Real-time monitoring with zero ongoing costs

Architecture

Update Cycle (60-second intervals):

  1. Data Collection: System metrics via shell commands (top, df, uptime)
  2. Performance Tracking: Historical logging and trend analysis
  3. Alert Processing: Threshold checking and alert generation
  4. Discord Updates: Direct message editing via OpenClaw CLI
  5. Cleanup: Automatic old data removal based on retention policy

File Structure:

live-monitoring-dashboard/
├── scripts/
│   ├── zero-token-dashboard.sh      # Main dashboard updater
│   └── performance-tracker.sh       # Slice 4 analytics
├── config/
│   ├── live-state.json             # Runtime state
│   └── performance-config.json      # Alert thresholds
└── data/
    ├── performance/                 # Daily metrics (CSV)
    └── alerts.log                   # Alert history

Performance

  • CPU Impact: Minimal (shell commands only)
  • Memory Usage: <1MB for data storage
  • Disk Usage: ~100KB/day for metrics (auto-cleanup enabled)
  • Network: Only outbound Discord API calls
  • Token Cost: ZERO (no LLM inference required)

🚀 Ready for Production | Built for OpenClaw Community

*Developed during trust window sessions March 5, 2026 - demonstrating zero-token operational excellence and partnership-level autonomous development.*

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

89.66%
按下载量换算3,549

安全审计

VirusTotal

可疑

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可疑

Static analysis

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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 tommy-monitoring-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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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