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Agent Skill · 研究检索

ycznwl-smarthome(ycznwl 智能家居)

ycznwl-smarthome 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。

ycznwl-smarthome 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,674 个 Skill 里排第 22,041。

总安装 4,672周安装 189GitHub Stars 1下载 1,467核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.6

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:ycznwl-smarthome(ycznwl 智能家居)
来源仓库:https://github.com/tmpbin/ycznwl-smarthome
安装命令:
openclaw skills install ycznwl-smarthome
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 ycznwl-smarthome

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

管理 KNX 智能家居网关的自动化场景与设备联动。适用于楼宇自动化与智能照明温控系统集成。支持 REST API 控制设备状态与定时任务编排。需配置网关 IP 地址与访问令牌。ycznwl-smarthome 属于研究检索类 Skill,可作为该场景下的辅助能力补充。操作前应在测试环境验证逻辑正确性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install ycznwl-smarthome;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ycznwl-smarthome 怎么安装?

在终端执行 openclaw skills install ycznwl-smarthome。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ycznwl-smarthome 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ycznwl-smarthome 需要什么权限?

权限级别是接触敏感数据。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。

ycznwl-smarthome 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ycznwl-smarthome 用的人多吗?

公开数据是累计安装 4,672 次,近一周安装 189 次,下载 1,467 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ycznwl-smarthome 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ycznwl-smarthome

ycznwl 智能家居 · 本页

4,6721接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
ycznwl-smarthome
description
>-
version
1.0.6
compatibility
Requires network access to a user-provided KNX Gateway on a trusted LAN or VPN.
metadata
openclaw
requires
env
primaryEnv
KNX_TOKEN
always
false
homepage
https://github.com/tmpbin/knx-gateway-skills

YCZNWL KNX Gateway Automation Agent Skill

Connection

ParameterDefaultDescription
Base URLhttp://ycznwl.local/api/v1Default mDNS address — use as-is unless the user provides their own gateway address or IP
AuthAuthorization: Bearer ${KNX_TOKEN}See token instructions below
EncodingUTF-8The gateway accepts and emits UTF-8 only. Always send Content-Type: application/json; charset=utf-8 and decode responses as UTF-8. Names, descriptions, room names, action names, and any free-text fields may contain Chinese characters and must be transmitted/parsed as UTF-8. Do not URL-encode JSON payloads or wrap them in an extra encoding layer.

Getting an API Token

  1. Open the KNX Gateway web UI
  2. Click your avatar (top-right) → Get API Token
  3. Copy the token

Safe token handling:

  • Store the token in your platform's secret store or a local environment variable (export KNX_TOKEN=...) — never paste it directly into a chat conversation, as conversation logs may be persisted
  • Reference it in requests via the environment variable, not inline
  • Never hardcode the token in shared scripts or commit it to version control

This skill's only required credential is KNX_TOKEN. Optional workflow nodes that send data outside the gateway or trusted LAN must be configured only after an explicit user request and endpoint review. Do not introduce hardcoded secrets into skill files or workflow examples.

Default safety policy: keep automations local to the gateway and trusted LAN. Only author or enable off-LAN HTTP, MQTT, webhook, or email integrations when the user explicitly asks for that integration and approves the exact endpoint.

Reference Documents

This skill is organized into progressive reference files. Read them in order when you need detailed information:

FileContent
ref/devices.mdDevice types, subtypes, capabilities, actions, params
ref/scenes.mdScene data model, actions structure, KNX binding, execution behavior
ref/triggers.mdTrigger types and their exact configuration (incl. sun_event with offset scheduling)
ref/nodes.mdNode types, subtypes (incl. scene_exec, schedule_match with sunrise/sunset boundaries), config structs, validation rules
ref/api.mdComplete REST API endpoint reference (devices, scenes, automation, system location/sun times)
ref/examples.mdRealistic, validated workflow examples (incl. scene-based)

Quick Start — Agent Workflow

Creating a new scene

  1. Discover devices: GET /devices → note uuid, name, type, capabilities, and room_id (resolve via GET /rooms)
  2. Build actions array: Each action targets a device:
   {
     "id": "a1",
     "device_uuid": "light-uuid",
     "device_name": "Living Room Light",
     "action": "turn_off",
     "params": {},
     "delay": 0
   }

- action + params must match the device's capability (see ref/devices.md) - delay is in milliseconds (0 = immediate, 500 = 0.5s delay before this action) - id is a unique string per action (e.g. "a1", "a2")

Scene authoring best practices
  • Brightness implies power on (dimmable lights only): For lights with brightness control

(light_dimmer, light_tunable, light_rgb), sending set_brightness with brightness > 0 automatically powers the light on at the firmware/handler level. Do not emit a separate turn_on action before set_brightness — it adds latency and a redundant KNX telegram. Sending set_brightness with brightness: 0 will likewise turn the light off. Use an explicit turn_on / turn_off only when the device has no brightness capability.

  • Multi-room scenes — prefix device_name with the room name: When a scene spans multiple

rooms, prepend the room name to the action's display name so the execution log and UI are readable. Example: "device_name": "客厅·主灯" instead of just "主灯". Single-room scenes may keep the bare device name. The room name comes from GET /rooms joined on device.room_id. This applies to both scene actions (actions[].device_name) and any name you set on automation device_control / scene_exec action nodes.

  • Color temperature range: Devices can be configured for any range within 1000–10000 K

with a configurable step. The backend clamps & step-aligns values automatically — but pass reasonable values that the user has actually configured for the device.

  1. Create: POST /scenes with name, actions, optional icon, color, description, enabled
  2. Test: POST /scenes/:uuid/execute → verify execution result

Editing an existing scene

  1. Get current state: GET /scenes/:uuid
  2. Update: PUT /scenes/:uuid with partial fields:
   {
     "name": "Updated Scene Name",
     "actions": [ ... ],
     "enabled": true
   }

Only include fields you want to change. The actions array replaces the existing one entirely.

  1. Test: POST /scenes/:uuid/execute

Managing scenes

OperationMethodEndpoint
List all scenesGET/scenes (optional ?enabled=true)
Get sceneGET/scenes/:uuid
CreatePOST/scenes
UpdatePUT/scenes/:uuid
DeleteDELETE/scenes/:uuid
ExecutePOST/scenes/:uuid/execute
Toggle enabledPOST/scenes/:uuid/toggle
ReorderPUT/scenes/sort
View logsGET/scenes/logs?scene_uuid=xxx

See ref/api.md for full request/response details.

Using scenes in automations

Scenes can be triggered from automation workflows in two ways:

  • scene_exec node (recommended): { "node_subtype": "scene_exec", "config": { "scene_uuid": "..." } }
  • device_control node with virtual device: { "config": { "device_uuid": "scene-<scene_uuid>", "action": "activate_scene" } }

See ref/examples.md Examples 7 & 8 for complete workflow payloads.

Creating a new automation

  1. Discover devices: GET /devices → note uuid, type, sub_type, capabilities
  2. Discover scenes (if needed): GET /scenes → note scene uuid for scene_exec nodes
  3. Build import JSON using the format documented in ref/api.md section "Import"
  4. Import: POST /automation/workflows/import → returns new workflow with server-generated UUIDs
  5. Validate: POST /automation/workflows/:uuid/validate
  6. Enable: POST /automation/workflows/:uuid/enable

Manually executing an automation — REQUIRES a manual trigger

POST /automation/workflows/:uuid/execute can only fire enabled triggers of type manual. If the workflow has no manual trigger (e.g. only device_event, cron, sun_event, knx_group_event, or webhook triggers), the call returns no enabled manual trigger found in workflow ... and nothing executes.

Rule: If the user wants the workflow to be runnable on demand from the UI or via the API (e.g. a "test" button, a chatbot command, a script), include at least one { "trigger_type": "manual", "enabled": true } trigger in the import JSON. You may combine it with other triggers — they remain independent.

{
  "triggers": [
    { "uuid": "t-manual", "trigger_type": "manual", "enabled": true, "config": {} },
    { "uuid": "t-cron",   "trigger_type": "cron",   "enabled": true, "config": { "expression": "0 7 * * *" } }
  ]
}

A workflow without a manual trigger still runs automatically when its other triggers fire — it just cannot be invoked through POST /workflows/:uuid/execute.

Editing an existing automation

  1. Get current state: GET /automation/workflows/:uuid
  2. Modify triggers/nodes/edges — keep existing UUIDs for unchanged elements, generate new UUIDs for additions
  3. Save: PUT /automation/workflows/:uuid
  4. Validate: POST /automation/workflows/:uuid/validate

Security Notes

  • Imported workflows: Always inspect imported workflow JSON before enabling. Look for

unexpected off-LAN HTTP requests, MQTT brokers outside the trusted LAN, or webhook triggers exposed beyond the gateway network. Only import workflows from sources you trust.

  • Network egress: Prefer gateway-local and LAN-local workflows. HTTP request,

MQTT publish, webhook, and email integrations are advanced gateway features; use them only when the user explicitly asks and the destination is reviewed.

  • Webhook triggers: Exposing a webhook URL can make the gateway reachable from outside

its normal network. Use only when network exposure is deliberate and the token is kept secret.

  • Base URL: Verify the gateway address resolves to your local network before running

any control commands.

Critical Rules

  1. Device actions are NOT generic "set" or "toggle". Each device type has specific

actions. Always check ref/devices.md for the exact action name and required params for each device type/subtype combination.

  1. UUIDs on import are placeholders. The server remaps ALL UUIDs. Use simple

placeholder values like "t1", "n1", "e1" — the server will replace them with real UUIDs.

  1. Imported workflows start in draft + disabled state. Always validate then

enable after import.

  1. Node configs are strictly typed. A device_control node with wrong params will

fail at execution time even if import succeeds. Always match action + params to the device's capability.

  1. Edge handle names: Triggers use source_handle: "output". Condition/logic nodes

use "true" and "false" as source_handle. Action, delay, and transform nodes use source_handle: "output". All target handles are "input".

  1. source_type in edges: Use "trigger" when source is a trigger UUID, use

"node" when source is any node UUID.

Common Pitfalls (MUST READ)

Pitfall 1: node_subtype vs sub_type — DIFFERENT fields!

  • Devices use sub_type (e.g. "sub_type": "light_dimmer")
  • Nodes use node_subtype (e.g. "node_subtype": "device_control")
  • If you use sub_type in a node definition, it will be silently ignored. The node

will have an empty subtype and validation will report "未知节点类型 action:" (unknown node type). Always use node_subtype for nodes.

Pitfall 2: Validate response — check errors array, NOT just valid

The /validate endpoint may return "valid": true even when errors is non-empty. Node config errors (e.g. missing subtype, wrong params) appear in errors but do not flip valid to false. Always check the errors array is null or empty.

✗ BAD:  if response.data.valid == true → proceed
✓ GOOD: if response.data.valid == true AND response.data.errors is null/empty → proceed

Pitfall 3: After import, verify the response data

Always inspect the import response body. Confirm that:

  • node_subtype fields are non-empty for action nodes
  • source_handle / target_handle have the expected values
  • config objects contain the correct action/params

If any field is missing or empty, the import JSON had a wrong field name.

System Limits

LimitValue
Max workflows200
Max nodes per flow50
Max edges per flow200
Max triggers per workflow5
Timeout range5–3600 seconds
Max parallel10
Max retry count5
Max name length128 chars
Max description length1024 chars

Retrieve current limits: GET /automation/limits

平台分布

OpenClaw

71.75%
按下载量换算1,053

安全审计

VirusTotal

未展示

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

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。目前只有一个公开来源,建议同时核对源仓库。

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