Token导航 LogoToken导航TokenDH.com
效率敏感数据clawhub未标认证来源可访问clear审计通过

roborock-conversational-controlRoborock 对话控制

Agent Skill

roborock-conversational-control 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

2,736

周安装

114

GitHub Stars

1

下载量

912
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:roborock-conversational-control(Roborock 对话控制)
来源仓库:https://github.com/serdarsalim/roborock-conversational-control
安装命令:
openclaw skills install roborock-conversational-control
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 roborock-conversational-control

简介

将 Roborock 变成一个可以对话的 OpenClaw 伴侣。当用户想要自然语言真空控制(例如清洁厨房、回家、暂停、静止)时使用

SKILL.md

name
jojo-bot
description
Turn a Roborock into a conversational OpenClaw companion. Use when the user wants natural-language vacuum control like clean the kitchen, go home, pause, status, or room-specific cleaning, especially in Telegram. This is a higher-level companion layer, not just raw Roborock control. Execute the local shell wrapper in scripts/jojo.sh via exec; do not use ACP or sessions_spawn for routine control actions.
version
1.0.1
user-invocable
true
metadata
openclaw
emoji
🤖
requires
bins

Jojo Bot

Execution rule: use the exec tool to run the shell wrapper in scripts/jojo.sh. Do not use sessions_spawn or ACP for routine Jojo commands.

This skill turns a Roborock vacuum into a conversational device companion.

It is designed for:

  • OpenClaw chat
  • Telegram bots
  • room-aware vacuum control
  • a lightweight Jojo-style persona on top of real device actions

It is not a replacement for low-level Roborock tooling. It is the higher-level layer that makes a vacuum feel like its own agent.

Use it for:

  • clean the kitchen
  • clean the living area
  • clean the house
  • pause
  • go home
  • status
  • which rooms do you know

Required local config

Create jojo.env in this skill folder from jojo.env.example.

Minimum required value:

  • JOJO_DEVICE_ID

Optional:

  • JOJO_DEVICE_NAME
  • ROOM_<ALIAS> mappings such as ROOM_KITCHEN="17"

Wrapper

Resolve the skill directory, then call:

bash <skill_dir>/scripts/jojo.sh status
bash <skill_dir>/scripts/jojo.sh start
bash <skill_dir>/scripts/jojo.sh pause
bash <skill_dir>/scripts/jojo.sh stop
bash <skill_dir>/scripts/jojo.sh home
bash <skill_dir>/scripts/jojo.sh rooms
bash <skill_dir>/scripts/jojo.sh room kitchen
bash <skill_dir>/scripts/jojo.sh room "master bedroom"

Intent mapping

  • status, what are you doing, battery, where are you -> status
  • clean the house, start cleaning, go clean -> start
  • pause, wait, hold on -> pause
  • stop cleaning -> stop
  • go home, dock, charge, return to dock -> home
  • which rooms, what rooms, rooms -> rooms
  • clean the <room> -> room "<room>"

If room intent is ambiguous, ask one short follow-up.

Room aliases

The wrapper supports user-defined aliases through env vars:

ROOM_KITCHEN="17"
ROOM_MASTER_BEDROOM="19"
ROOM_LIVING_AREA="21"

To bootstrap aliases from the live Roborock map:

bash <skill_dir>/scripts/refresh_room_aliases.sh

Positioning

  • Use robo-rock or the raw roborock CLI when you only want direct device control.
  • Use jojo-bot when you want a conversational robot companion with room aliases, short replies, and a dedicated device identity.

Notes

  • Current python-roborock builds use roborock login --email ...
  • Verified command verbs are app_start, app_pause, app_stop, app_charge, and app_segment_clean
  • Keep this skill device-scoped. If the user wants a dedicated Telegram bot, bind a dedicated OpenClaw agent to a separate Telegram account.

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

77.83%
按下载量换算710

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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

继续浏览同类 Skills