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龙虾的小家园 — Desktop Pet

v11.0.0

Deploy a pixel-art desktop pet (桌面宠物) with four explorable scenes, care mechanics, and walk animations. Use when user asks to create a desktop pet, virtual p...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for whitezhiiii/pixel-desktop-pet.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "龙虾的小家园 — Desktop Pet" (whitezhiiii/pixel-desktop-pet) from ClawHub.
Skill page: https://clawhub.ai/whitezhiiii/pixel-desktop-pet
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install pixel-desktop-pet

ClawHub CLI

Package manager switcher

npx clawhub@latest install pixel-desktop-pet
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
VirusTotalVirusTotal
Suspicious
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OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name/description match the included Python Tkinter desktop pet script. However, SKILL.md's asset list is minimal while the script expects many additional character sprites; the SKILL.md instructs manual asset copying but the script will auto-download missing assets at runtime. This is plausibly legitimate but inconsistent.
!
Instruction Scope
SKILL.md instructs only to install Pillow and run the script and to copy assets locally, and does not mention network activity. The script, however, will attempt to download numerous asset files from raw.githubusercontent.com if assets are missing, and the presence of http.client/urllib/json imports suggests additional web requests (e.g., weather fetching). The skill also writes a save file under ~/.nbw_pet_save.json. The runtime will therefore access the network and the user's home directory despite SKILL.md implying a local-only run.
Install Mechanism
There is no package install spec (instruction-only), but runtime auto-downloads assets from https://raw.githubusercontent.com/... which is a GitHub raw URL (a known host). Downloading assets at runtime is a supply-chain risk (content can change upstream) and is not sign‑verified, though the host itself is a common code host.
Credentials
The skill requests no environment variables or credentials (ok). It does create an assets directory next to the script and writes a JSON save file to the user's home directory (~/.nbw_pet_save.json), which is proportionate for a desktop app but should be explicitly documented in SKILL.md (it is not).
Persistence & Privilege
The skill is not marked always:true and cannot modify other skills. Its persistence is limited to writing an assets folder (next to the script) and a single save file in the user's home directory — normal for a desktop application.
What to consider before installing
This skill is likely what it claims (a Tkinter desktop pet) but it downloads many asset files from a GitHub raw URL at first run and writes a save file to ~/.nbw_pet_save.json. Before installing or running: (1) inspect scripts/desktop_pet.py fully for any unexpected network calls or data uploads; (2) consider running it in a sandbox or VM; (3) if you prefer offline use, pre-populate the assets/ directory with trusted files to prevent runtime downloads; (4) verify the GitHub repo and asset URLs manually if you plan to allow downloads. If you are uncomfortable with automatic network downloads or files written to your home directory, do not run it.

Like a lobster shell, security has layers — review code before you run it.

desktopvk979c20ms5qj8pnp4br3n0aj8984j029latestvk979c20ms5qj8pnp4br3n0aj8984j029petvk979c20ms5qj8pnp4br3n0aj8984j029pixelvk979c20ms5qj8pnp4br3n0aj8984j029tamagotchivk979c20ms5qj8pnp4br3n0aj8984j029
79downloads
0stars
1versions
Updated 2w ago
v11.0.0
MIT-0

Desktop Pet — 南波万の小家园

A pixel-art desktop pet built with Python + Tkinter. Features a mini floating character on the desktop and a full home-garden mode with four explorable scenes.

Features

  • Mini mode: Transparent floating pixel character with walk animation (128px, white oval background)
  • Garden mode: 850×560 window with four scenes connected by doorways
    • 🏠 Indoor (1F) — cozy room with furniture
    • 🪜 Upstairs (2F) — mirrored warm-tone layout
    • 🌿 Outdoor — front yard with fence
    • 🌳 Forest — large woodland area
  • Care system: Hunger / Mood / Cleanliness / Health with decay and recovery
  • Controls: Arrow keys or WASD to walk, E to interact with doorways, T for debug mode
  • Right-click menu: Feed 🍔 / Bathe 🛁 / Play 🎮 / Medicine 💊

Deployment

  1. Copy scripts/desktop_pet.py to target directory
  2. Copy all files from assets/ into an assets/ subdirectory next to desktop_pet.py
  3. Run:
cd <target-dir>
pip install Pillow
TK_SILENCE_DEPRECATION=1 python3 desktop_pet.py

File structure after deployment

target-dir/
├── desktop_pet.py
└── assets/
    ├── room_bg.png        # Indoor scene (1F)
    ├── upstairs_bg.png    # Upstairs scene (2F, mirrored + warm)
    ├── exterior_bg.png    # Outdoor scene
    ├── forest_bg.png      # Forest scene
    ├── walk_right.gif     # Character walk right (8 frames, 32×32)
    └── walk_left.gif      # Character walk left (8 frames, 32×32)

macOS notes

  • Uses overrideredirect(True) + systemTransparent for floating mini window
  • PhotoImage doesn't render on transparent canvas → white oval workaround
  • Set TK_SILENCE_DEPRECATION=1 to suppress Tk warnings

Scene transitions

FromTriggerTo
Indoor 1FWalk to staircase (top-left) + EUpstairs 2F
Indoor 1FWalk to carpet (bottom-right) + EOutdoor
Upstairs 2FWalk to staircase (top-right) + EIndoor 1F
OutdoorWalk to left edge + EForest
OutdoorWalk to door + EIndoor 1F
ForestWalk to right edge + EOutdoor

Customization

  • Backgrounds: Replace PNG files in assets/ (850×526px recommended)
  • Character: Replace GIF files (32×32 per frame, 8 frames)
  • Care decay rate: Search frame%600 in code (higher = slower decay)
  • Collision walls: Edit _INDOOR_WALLS / _OUTDOOR_WALLS arrays
  • Window sizes: W_M, H_M for mini mode, W_G, H_G for garden mode

Credits

  • Character sprites: Cozy People (free pixel art)
  • Background tiles: CraftPix (free top-down pixel art)

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