Openhue

Name: Openhue
Author: openclaw

Checked

openclaw·v2026.3.2·frontend·MIT

Control Philips Hue lights and scenes via the OpenHue CLI.

Repository

Install on your platform

Showing OpenClaw.

1
Run this in your terminal
terminal
```
$ openclaw skills install openhue
```

What we know about this skill

Publisher

openclaw

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

Install target

Pinned to 7b5e64ef

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

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 20 Oct 2026

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

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 undeclared network calls: passed
Makes no network calls.
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.
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 openclaw/openclaw at f12a8dee23.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: f12a8dee23
Manifest: skills/openhue/SKILL.md
Scanned: 1 file, 103 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

OpenClaw is a personal AI assistant designed to operate locally on user devices. It provides responses across various communication channels like WhatsApp, Telegram, Slack, and Discord. The system can also speak and listen using macOS/iOS/Android and render a live, controllable Canvas interface.

When to use it

Private Communication: Use OpenClaw for handling personal tasks and information within your preferred messaging apps without relying on external servers.
Local Processing: Ideal when you need an AI assistant that operates offline or with enhanced privacy due to data processing happening locally.
Customizable Interface: Leverage the Canvas feature to create a personalized visual interface for interacting with the AI.
Multi-Platform Support: Utilize OpenClaw across macOS, iOS, Android, and various chat platforms.

Key capabilities

Cross-platform communication (WhatsApp, Telegram, Slack, Discord, etc.)
Local operation on user devices
Speech and listening functionality (macOS/iOS/Android)
Live Canvas interface for visual interaction

Example prompts

"OpenClaw, summarize my recent messages in Slack."
"Can you create a quick sketch of a cat using the Canvas?"
“Remind me to call John tomorrow at 2 PM.”

Tips & gotchas

The preferred setup method is running openclaw onboard in your terminal for guided installation.
OpenClaw functions as an assistant; its capabilities are limited by the underlying AI models and integrations it utilizes.