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reefbeatreefbeat 控制

Agent Skill

reefbeat 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

7,997

周安装

340

GitHub Stars

公开资料未说明

下载量

2,802
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:reefbeat(reefbeat 控制)
来源仓库:https://github.com/piwi3910/reefbeat
安装命令:
openclaw skills install reefbeat
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 reefbeat

简介

直接控制 Red Sea ReefBeat 水族馆设备,无需云端依赖。

  • 支持 ReefLED 等设备全功能操作与本地监控。
  • 适用于家庭或商业水族箱自动化管理。
  • 需确保本地网络可达与 HTTP API 端口开放。
  • 建议定期检查固件更新与安全配置。reefbeat 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
reefbeat
description
Control and monitor Red Sea ReefBeat aquarium equipment directly over the local HTTP API — no cloud required. Supports ALL actions on ALL devices — ReefLED G1/G2 (lighting/kelvin/intensity/schedules/acclimation/moonphase), ReefDose (dosing/calibration/priming/supplements), ReefMat (filter roll/advance/new-roll), ReefRun (return pump + skimmer control/overskimming), ReefATO+ (auto top-off/resume/volume), ReefWave (wave modes/preview). Use for ANY reef tank / aquarium request.

ReefBeat Skill

Direct HTTP control for Red Sea ReefBeat devices. Full API reference in references/api.md.

Quick Start

python3 scripts/reefbeat.py discover <DEVICE_IP>/24   # find all devices
python3 scripts/reefbeat.py <ip> info                   # device info + type
python3 scripts/reefbeat.py <ip> status                 # /dashboard
python3 scripts/reefbeat.py <ip> get /endpoint
python3 scripts/reefbeat.py <ip> post /endpoint '{"key":"value"}'
python3 scripts/reefbeat.py <ip> put /endpoint '{"key":"value"}'

Device Discovery

Run discovery to find all devices on your network automatically:

python3 scripts/reefbeat.py discover <YOUR_SUBNET>/24

Common Actions by Request

ReefLED — Lighting

# Check current light status
python3 scripts/reefbeat.py <LED_IP> get /manual

# Set white/blue (G1 — RSLED90)
python3 scripts/reefbeat.py <LED_IP> post /manual '{"white": 60, "blue": 80}'

# Timed manual (30 min then resume schedule)
python3 scripts/reefbeat.py <LED_IP> post /manual '{"white": 60, "blue": 80, "duration": 30}'

# Toggle moonphase
python3 scripts/reefbeat.py <LED_IP> post /moonphase '{"enabled": true, "moon_day": 14}'

# Acclimation
python3 scripts/reefbeat.py <LED_IP> post /acclimation '{"enabled": true, "duration": 50, "start_intensity_factor": 30}'

# View auto schedule for Monday (day 1)
python3 scripts/reefbeat.py <LED_IP> get /auto/1

# Turn LED off / resume schedule
python3 scripts/reefbeat.py <LED_IP> delete /off

ReefRun — Pumps / Skimmer

# Check pump status
python3 scripts/reefbeat.py <RUN_IP> status
python3 scripts/reefbeat.py <RUN_IP> get /pump/settings

# Turn pump on/off (schedule_enabled controls this)
python3 scripts/reefbeat.py <RUN_IP> put /pump/settings \
  '{"pump_2": {"id":2,"name":"skimmer","type":"skimmer","model":"rsk-300","sensor_controlled":true,"schedule_enabled":false,"schedule":[{"st":0,"ti":0,"pd":0}]}}'

# Change return pump intensity to 70%
python3 scripts/reefbeat.py <RUN_IP> put /pump/settings \
  '{"pump_1": {"id":1,"name":"Return pump","type":"return","model":"return-6","sensor_controlled":false,"schedule_enabled":true,"schedule":[{"st":0,"ti":70,"pd":0}]}}'

# Toggle over-skimming protection
python3 scripts/reefbeat.py <RUN_IP> put /pump/settings \
  '{"overskimming": {"enabled": true, "threshold": 10}}'

ReefATO+ — Auto Top-Off

# Check ATO status (level, temp, fills)
python3 scripts/reefbeat.py <ATO1_IP> status
python3 scripts/reefbeat.py <ATO2_IP> status

# Resume after malfunction/pump_timeout
python3 scripts/reefbeat.py <ATO1_IP> post /resume

# Enable/disable auto-fill
python3 scripts/reefbeat.py <ATO1_IP> put /configuration '{"auto_fill": true}'

# Manual fill / stop
python3 scripts/reefbeat.py <ATO1_IP> post /manual-pump
python3 scripts/reefbeat.py <ATO1_IP> post /stop

# Set reservoir volume (mL)
python3 scripts/reefbeat.py <ATO1_IP> post /update-volume '{"volume": 10000}'

ReefMat — Filter Roll

# Check roll status
python3 scripts/reefbeat.py <MAT1_IP> status   # aquarium 1 mat
python3 scripts/reefbeat.py <MAT2_IP> status   # aquarium 2 mat

# Advance roll manually
python3 scripts/reefbeat.py <MAT1_IP> post /advance

# Register new full roll (ReefMat250 — max diameter 11.1cm)
python3 scripts/reefbeat.py <MAT1_IP> post /new-roll \
  '{"external_diameter": 11.1, "name": "New Roll", "thickness": 0.3, "is_partial": false}'

# Register started roll
python3 scripts/reefbeat.py <MAT1_IP> post /new-roll \
  '{"external_diameter": 8.5, "name": "Started Roll", "thickness": 0.3, "is_partial": true}'

# Toggle auto-advance
python3 scripts/reefbeat.py <MAT2_IP> put /configuration '{"auto_advance": true}'

ReefWave — Wave Pump

# Check wave status
python3 scripts/reefbeat.py <WAVE_IP> status

# Start preview mode (alternating, 5min fwd/5min back, 80% intensity, 5min total)
python3 scripts/reefbeat.py <WAVE_IP> post /preview \
  '{"type":"st","frt":5,"rrt":5,"fti":80,"rti":80,"duration":300000,"sn":5,"pd":10}'

# Stop/save preview
python3 scripts/reefbeat.py <WAVE_IP> delete /preview

Shortcuts (All Devices)

# Start feeding mode
python3 scripts/reefbeat.py <ip> post /maintenance   # or /emergency

# End maintenance
python3 scripts/reefbeat.py <ip> delete /maintenance

Network Behaviour

  • Auto-discovery (discover command) opens a UDP socket to 8.8.8.8 (no data sent — standard technique to detect the local network interface), then actively probes all hosts in the subnet via HTTP /device-info and /description.xml. This is local-only after the interface detection step.
  • No cloud authentication or external API calls are made by this skill.
  • All device control is purely local HTTP (port 80, no auth).

Notes

  • G1 LEDs (RSLED50/90/160): white + blue channels (0–100%)
  • G2 LEDs (RSLED60/115/170): kelvin (10000–20000) + intensity (0–100%)
  • ReefDose config requests can take 7–9s — normal
  • ReefWave local changes desync from app — expected
  • ATO pump_timeout / malfunction → POST /resume to clear
  • Always read /pump/settings before writing to preserve unchanged pump fields

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

78.38%
按下载量换算2,196

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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