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mrc-monitorMRC 监视器

Agent Skill

mrc-monitor 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

58,340

周安装

2,506

GitHub Stars

1

下载量

20,449
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:mrc-monitor(MRC 监视器)
来源仓库:https://github.com/wysh3/mrc-monitor
安装命令:
openclaw skills install mrc-monitor
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 mrc-monitor

简介

MRC食堂点餐系统实时令牌监控。监控 Firebase Firestore 的令牌状态并在订单准备就绪时发出通知。当用户发送“mrc 73”、“token 97”或“monitor 42”等命令来监控一个或多个食堂令牌时使用。同时处理多个令牌,为每个令牌发送独立的通知,并在所有令牌准备就绪时自动退出。

SKILL.md

name
mrc-monitor
description
Real-time token monitoring for MRC canteen order system. Monitors Firebase Firestore for token status and notifies when orders are ready. Use when user sends commands like "mrc 73", "token 97", or "monitor 42" to monitor one or multiple canteen tokens. Handles multiple tokens simultaneously, sends independent notifications per token, and auto-exits when all tokens are ready.

MRC Canteen Monitor

Monitor MRC canteen order tokens and notify when they're ready for pickup.

Quick Start

When user sends any command containing canteen tokens:

  1. Extract all token numbers from the message
  2. Start the background monitor script
  3. Respond immediately with confirmation

Command Recognition

Users may send tokens with various prefixes:

  • "mrc 73" or "mrc 73 97 42"
  • "token 73" or "token 73 97"
  • "monitor 73"
  • "check 73" (one-time check only)

Starting the Monitor

Extract all numbers from the user message and start the background monitor:

python3 skills/mrc-monitor/scripts/monitor.py <platform> <channel_id> <token1> <token2> ...

Where:

  • platform: "telegram" or "discord"
  • channel_id: Current channel identifier (platform prefix is optional, e.g., telegram_123 or 123 both work)
  • token1, token2, ...: Token numbers to monitor

Example:

python3 skills/mrc-monitor/scripts/monitor.py telegram telegram_6046286675 73 97 42
# or
python3 skills/mrc-monitor/scripts/monitor.py telegram 6046286675 73 97 42

Background Execution

Start the monitor as a background process so the agent responds immediately:

import subprocess

# channel_id can be with or without platform prefix (both work)
cmd = ['python3', 'skills/mrc-monitor/scripts/monitor.py',
       platform, channel_id] + [str(t) for t in tokens]
subprocess.Popen(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)

Agent Response

After starting the monitor, respond immediately with:

✅ Monitoring tokens: 73, 97, 42
Checking every 15 seconds.
I'll notify you here when they're ready! 🍕

One-Time Check

For "check 73" commands, perform a single Firebase query and respond with status without starting a background monitor.

Monitor Behavior

The monitor script:

  • Polls Firebase Firestore every 15 seconds
  • Checks all monitored tokens in each poll
  • Sends "🍕 Order X is ready!" notification when a token's status is "Ready"
  • Removes notified tokens from the watch list
  • Exits automatically when all tokens are notified
  • Handles errors gracefully with retries
  • Logs all activity to skills/mrc-monitor/logs/monitor_YYYYMMDD_HHMMSS.log

Error Handling

The script automatically handles:

  • Network timeouts (retries up to 5 times)
  • HTTP errors (including rate limits)
  • Unexpected errors (stops after 5 consecutive failures)
  • Signal termination (SIGTERM, SIGINT)

On fatal errors, the script sends a notification before exiting.

Firebase Details

  • Project: kanteen-mrc-blr-24cfa
  • Collection: orders
  • Document fields:

- studentId (string): "student-{token_number}" - status (string): "Preparing", "Ready", "Completed"

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

98.96%
按下载量换算20,236

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

未展示

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 mrc-monitor 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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