Vision Sandbox

Community

viralcode

Vision Sandbox

Agentic Vision via Gemini's native Code Execution sandbox. Use for spatial grounding, visual math, and UI auditing.

Overview

Publisher	viralcode
Repository	`openwhale`
Skill name	`Vision Sandbox`
Stars	65
Forks	11
Bundled files	7
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by viralcode on GitHub. Read the source before you install it.

Installation

Install the Vision Sandbox AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/viralcode/openwhale.git /tmp/openwhale
mkdir -p .claude/skills
cp -r /tmp/openwhale/skills/vision-sandbox .claude/skills/viralcode-vision-sandbox

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Vision Sandbox in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Vision Sandbox on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Vision Sandbox is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Vision Sandbox 🔭

Leverage Gemini's native code execution to analyze images with high precision. The model writes and runs Python code in a Google-hosted sandbox to verify visual data, perfect for UI auditing, spatial grounding, and visual reasoning.

Installation

bash
clawhub install vision-sandbox

Usage

bash
uv run vision-sandbox --image "path/to/image.png" --prompt "Identify all buttons and provide [x, y] coordinates."

Pattern Library

📍 Spatial Grounding

Ask the model to find specific items and return coordinates.

Prompt: "Locate the 'Submit' button in this screenshot. Use code execution to verify its center point and return the [x, y] coordinates in a [0, 1000] scale."

🧮 Visual Math

Ask the model to count or calculate based on the image.

Prompt: "Count the number of items in the list. Use Python to sum their values if prices are visible."

🖥️ UI Audit

Check layout and readability.

Prompt: "Check if the header text overlaps with any icons. Use the sandbox to calculate the bounding box intersections."

🖐️ Counting & Logic

Solve visual counting tasks with code verification.

Prompt: "Count the number of fingers on this hand. Use code execution to identify the bounding box for each finger and return the total count."

Integration with OpenCode

This skill is designed to provide Visual Grounding for automated coding agents like OpenCode.

Step 1: Use vision-sandbox to extract UI metadata (coordinates, sizes, colors).
Step 2: Pass the JSON output to OpenCode to generate or fix CSS/HTML.

Configuration

GEMINI_API_KEY: Required environment variable.
Model: Defaults to gemini-3-flash-preview.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Vision Sandbox AI skill do?

Agentic Vision via Gemini's native Code Execution sandbox. Use for spatial grounding, visual math, and UI auditing.

Why use Vision Sandbox on TypingMind?

Because you install it once and use it with any model. Vision Sandbox is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Vision Sandbox in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/viralcode/openwhale/tree/main/skills/vision-sandbox. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Vision Sandbox?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Vision Sandbox?

As many as you like. As long as a model supports skills, you can use Vision Sandbox with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Vision Sandbox AI skill free?

It is published on GitHub by viralcode. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Vision Sandbox 🔭

Installation

Usage

Pattern Library

📍 Spatial Grounding

🧮 Visual Math

🖥️ UI Audit

🖐️ Counting & Logic

Integration with OpenCode

Configuration

Bundled files

Frequently asked questions

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