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Node Red

Listed
tonylofgren·vlatest·other·MIT

Node-RED allows you to visually create and connect flows of data and logic, streamlining automation tasks and integrations effortlessly.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tonylofgren/aurora-smart-home --skill node-red -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tonylofgren

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 13 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: 192.168.1.100, 192.168.1.50, api.energidataservice.dk, api.entur.io, api.met.no….

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    deb.nodesource.comundeclaredhomeassistant.locallocalapi.tibber.comundeclaredapi.energidataservice.dkundeclaredopendata-download-metfcst.smhi.seundeclaredapi.openweathermap.orgundeclaredapi.met.noundeclaredtransport.integration.sl.seundeclaredapi.trafikverket.seundeclaredapi.entur.ioundeclared192.168.1.100undeclared192.168.1.50undeclaredapi.openai.commodel providerapi.spotify.comundeclaredapi.github.comsource hostwww.googleapis.comundeclared127.0.0.1localha.locallocal

    What it found (3 of 15)

    • node-red/INSTALLATION.md:59contacts deb.nodesource.com
      curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
    • node-red/references/popular-apis.md:49contacts api.tibber.com
      // HTTP node: POST https://api.tibber.com/v1-beta/gql
    • node-red/references/popular-apis.md:54contacts api.energidataservice.dk
      // HTTP GET: https://api.energidataservice.dk/dataset/Elspotprices?start=now/P1D&end=now%2BP2D&filter={"PriceArea":"SE3"}&sort=HourDK asc
  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned tonylofgren/aurora-smart-home at 1898e29f99.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
46 files, 14,772 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill, Node-RED, allows AI agents to interact with and control a wide range of devices and services through visual programming. It enables automation flows by connecting various nodes representing different functionalities like HTTP requests, MQTT brokers, or sensor data inputs. The agent can trigger actions based on events or conditions defined within these flows.

When to use it

  • Home Automation: Control lights, thermostats, and other smart home devices based on time of day or sensor readings.
  • Data Integration: Combine data from multiple sources (e.g., weather APIs, databases) into a unified view for analysis or reporting.
  • IoT Device Management: Interact with and manage IoT devices by sending commands and receiving status updates.
  • API Interactions: Automate tasks involving external APIs, such as posting to social media or triggering cloud functions.

Key capabilities

  • Visual flow programming interface
  • Support for a wide range of nodes (HTTP, MQTT, sensors, etc.)
  • Event-driven automation
  • Integration with various devices and services

Example prompts

  • "Trigger the 'morning routine' Node-RED flow."
  • "Send a message to the MQTT broker on topic 'living_room/temperature'."
  • "Execute the HTTP request defined in the 'weather_update' flow."

Tips & gotchas

Node-RED requires some familiarity with visual programming concepts. Ensure that any necessary hardware or API credentials are properly configured before using this skill.