Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท AI
Vision Sandbox
Agentic Vision via Gemini's native Code Execution sandbox. Use for spatial grounding, visual math, and UI auditing.
skill openclawclawhub Free
Agentic Vision via Gemini's native Code Execution sandbox. Use for spatial grounding, visual math, and UI auditing.
โฌ 0 downloads โ
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- AGENTS.md, CONTRIBUTING.md, README.md, SKILL.md, main.py, pyproject.toml
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- johanesalxd
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Vision Sandbox ๐ญ
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
clawhub install vision-sandbox
Usage
uv run vision-sandbox --image "path/to/image.png" --prompt "Identify all buttons and provide [x, y] coordinates."
๐ 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."
๐งฎ 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."
๐ฅ๏ธ 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."
๐๏ธ 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.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs1 Scripts1 Files
- SKILL.md
- AGENTS.md
- CONTRIBUTING.md
- README.md
- main.py
- pyproject.toml