scene SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.

scene from autonomous-ai/physical-ai-operating-system is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add autonomous-ai/physical-ai-operating-system/scene@git:20260910.44ed5b7

Pins git:20260910.44ed5b7 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
autonomous-ai/physical-ai-operating-system
Path
skills/scene/SKILL.md
Versions recorded
3
Latest version
git:20260910.44ed5b7, committed Sep 10, 2026
First version recorded
Jun 5, 2026
Size
4,361 bytes
Repository stars
479
License
Apache-2.0

Activate predefined lighting scene presets (reading, focus, relax, movie, night, energize) when the user asks for activity-based or environment lighting. Scenes control both color temperature AND brightness. Do NOT use for specific colors (use LED Control) or emotion expression (use Emotion).

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Lighting Scenes

## Quick Start
Activate predefined lighting presets that set optimal color temperature and brightness for specific activities. Use this for ALL activity-based or environment lighting requests.

## Workflow
1. Determine which scene matches the user's request or activity
2. Prefix reply with `[HW:/scene:{"scene":"name"}]` — the device fires it before TTS
3. Confirm the scene activation to the user
4. Optionally chain emotion: `[HW:/scene:{"scene":"night"}][HW:/emotion:{"emotion":"sleepy","intensity":0.7}]`

## Examples

Input: "Reading mode"
Output: `[HW:/scene:{"scene":"reading"}]` Reading mode activated — 80% brightness, neutral white.

Input: "Goodnight" / "good night" / "time to sleep"
Output: `[HW:/scene:{"scene":"night"}][HW:/emotion:{"emotion":"sleepy","intensity":0.7}]` Night mode on. Sweet dreams!

Input: "I want to relax" / "let me chill"
Output: `[HW:/scene:{"scene":"relax"}]` Relax mode — warm, gentle light at 40%.

Input: "Movie time" / "watching a movie"
Output: `[HW:/scene:{"scene":"movie"}]` Movie mode — dim amber bias lighting.

Input: "I need to focus"
Output: `[HW:/scene:{"scene":"focus"}]` Focus mode — full brightness, cool white.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add autonomous-ai/physical-ai-operating-system/scene@sha256:04a387e560862d9b

The line at the top of this page pins the label git:20260910.44ed5b7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5jxdiwv7igsobiqz.svg)](https://markdownregistry.com/a/art_5jxdiwv7igsobiqz)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Jun 5, 2026 and Sep 10, 2026, about one every 49 days.

versioncommittedcommitsizeaudit
git:20260910.44ed5b7 latest2026-09-10 44ed5b7 4,361 BA view · diff
git:20260612.7f6ba712026-06-12 7f6ba71 4,372 BA view · diff
git:20260605.76d42b52026-06-05 76d42b5 4,366 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4361 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

autonomous-ai/physical-ai-operating-system · 479 stars · license Apache-2.0 · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5jxdiwv7igsobiqz
GET https://markdownregistry.com/api/v1/resolve?ref=autonomous-ai/physical-ai-operating-system/scene
GET https://markdownregistry.com/api/v1/blob/04a387e560862d9bf9e619c942db76ca191fc7ff09776fe19e9a099b9eee133e

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in autonomous-ai/physical-ai-operating-system

Other files named scene

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