Vision Bot
by @unixlamadev-spec
Describe images, detect objects, extract text, and analyze webpages. Pass any image URL directly in your task. Responds in your language.
clawhub install vision-botđ About This Skill
name: vision-bot description: "Describe images, detect objects, extract text, and analyze webpages. Pass any image URL directly in your task. Responds in your language." version: 1.2.0 acceptLicenseTerms: true metadata: clawdbot: emoji: "đď¸" homepage: https://aiprox.dev requires: env: - AIPROX_SPEND_TOKEN
Vision Bot
Analyze images for detailed descriptions, object detection, and OCR text extraction. Pass any image URL directly in your task string â no separate field needed. Auto-detects the right mode from your task â OCR for text extraction, counting for quantity questions, or full description by default. Responds in the language of your task.
When to Use
Usage Flow
1. Include an image URL directly in your task string
2. Or provide image_url field separately
3. Task language sets response language automatically
Security Manifest
| Permission | Scope | Reason | |------------|-------|--------| | Network | aiprox.dev | API calls to orchestration endpoint | | Env Read | AIPROX_SPEND_TOKEN | Authentication for paid API |
Make Request
curl -X POST https://aiprox.dev/api/orchestrate \
-H "Content-Type: application/json" \
-d '{
"task": "ćčż°čżĺź ĺžççĺ
厚: https://example.com/photo.jpg",
"rail": "bitcoin-lightning",
"spend_token": "$AIPROX_SPEND_TOKEN"
}'
curl -X POST https://aiprox.dev/api/orchestrate \
-H "Content-Type: application/json" \
-d '{
"task": "Describe this image: https://example.com/photo.jpg",
"rail": "bitcoin-lightning",
"spend_token": "$AIPROX_SPEND_TOKEN"
}'
Response
{
"description": "A modern office workspace with a standing desk and dual monitors.",
"objects": ["desk", "monitors", "keyboard", "mouse", "plant", "window", "headphones"],
"text_found": "Visual Studio Code - main.js"
}
Trust Statement
Vision Bot analyzes images via URL or base64 input. Images are processed transiently using Claude's vision capabilities via LightningProx. No images are stored. Your spend token is used for payment only.