gpt-multimodal
Analyze images and multi-frame sequences using OpenAI GPT series
Best for Developers working with vis…Works with GitHubLow risk
⌘source
- author
@benchflow-ai- language
- PDDL
★1kstars
252forks
Apr 20, 2026
✦overview.md
Key Features
- ·Analyzes image content, scenes, and spatial relationships
- ·Extracts and reads text from images via OCR
- ·Compares multiple images to detect differences
- ·Processes sequential frames for temporal progression analysis
- ·Supports up to 500 images per request with 50MB total payload
- ·Accepts images as URLs or base64-encoded data
Use Cases
- →Extracting text from screenshots or scanned documents
- →Comparing UI screenshots before and after a code change
- →Analyzing video frames to understand user interaction sequences
- →Generating descriptive captions for images in documentation
Best for
- ✓Developers working with visual data
- ✓Teams automating image-based QA checks
Not ideal for
- !Real-time video processing
- !Animated GIF analysis
FAQs
name
gpt-multimodal
description
Analyze images and multi-frame sequences using OpenAI GPT series
OpenAI Vision Analysis Skill
Purpose
This skill enables image analysis, scene understanding, text extraction, and multi-frame comparison using OpenAI's vision-capable GPT models (e.g., gpt-4o, gpt-5). It supports single and multiple images analysis and sequential frames for temporal analysis.
When to Use
- Analyzing image content (objects, scenes, colors, spatial relationships)
- Extracting and reading text from images (OCR via vision models)
- Comparing multiple images to detect differences or changes
- Processing video frames to understand temporal progression
- Generating detailed image descriptions or captions
- Answering questions about visual content
Required Libraries
The following Python libraries are required:
from openai import OpenAI
import base64
import json
import os
from pathlib import Path
Input Requirements
- File formats: JPG, JPEG, PNG, WEBP, non-animated GIF
- Image quality: Clear and legible; minimum 512×512px recommended
- File size: Under 20MB per image recommended
- Maximum per request: Up to 500 images, 50MB total payload
- URL or Base64: Images can be provided as URLs or base64-encoded data
$install
1-click copynpx skills add benchflow-ai/skillsbench --skill gpt-multimodalSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
5/ 5
excellentVery clear and well structured, with almost no room for misunderstanding.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
5/ 5
very highHighly actionable with clear, concrete steps that an agent can follow directly.