Image File
Documentsimage-fileImage File is an Agent Skill for documents published in the agentscope-ai/agentscope-samples repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.
Guidelines for handling image files
QUICK START
How to use this skill
Bring this guide into your coding agent with a prompt tailored to the tool you use.
- Open your project in Codex.
- Copy and paste the prompt below.
- Review files and risks before approving any action.
Prompt to paste
Inspect the Agent Skill at https://github.com/agentscope-ai/agentscope-samples/blob/HEAD/alias/src/alias/agent/agents/_built_in_skill/data/image/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/image-file, but wait for my approval before writing files or running scripts.
Copying this prompt does not install or run the skill. Review third-party files before use.
Images Handling Specifications
Goals
- Safely identify image properties and metadata without memory exhaustion.
- Accurately extract text (OCR) and visual elements (Object Detection/Description).
- Perform necessary pre-processing (resize, normalize, crop) for downstream tasks.
- Handle multi-frame or high-resolution images efficiently.
Inspection (Always First)
- Identify Properties: Use lightweight libraries (e.g., PIL/Pillow) to get
format,size(width/height), andmode(RGB, RGBA, CMYK). - Check File Size: If the image is exceptionally large (e.g., >20MB or >100MP), consider downsampling or tiling before full processing.
- Metadata/EXIF Extraction:
- Read EXIF data for orientation, GPS tags, and timestamps.
- Correction: Automatically apply EXIF orientation to ensure the image is "upright" before visual analysis.
Content Extraction & Vision
- Vision Analysis:
- Use multimodal vision models to describe scenes, identify objects, and detect activities.
- For complex images (e.g., infographics, UI screenshots), guide the model to focus on specific regions.
- OCR (Optical Character Recognition):
- If text is detected, specify whether to extract "raw text" or "structured data" (like forms/tables).
- Handle low-contrast or noisy backgrounds by applying pre-filters (grayscale, binarization).
- Format Conversion: Convert non-standard formats (e.g., HEIC, TIFF) to standard formats (JPEG/PNG) if tools require it.
Handling Large or Complex Images
- Tiling: For ultra-high-res images (e.g., satellite maps, medical scans), split into overlapping tiles to avoid missing small details.
- Batching: Process multiple images using generators to keep memory usage stable.
- Alpha Channel: Be mindful of transparency (PNG/WebP); decide whether to discard it or composite against a solid background (e.g., white).
Best Practices
- Safety First: Validate that the file is a genuine image (not a renamed malicious script).
- Graceful Failure: Handle corrupted files, truncated downloads, or unsupported formats with descriptive error logs.
- Efficiency: Avoid unnecessary re-encoding (e.g., multiple JPEG saves) to prevent "generation loss" or artifacts.
- Process images individually or in small batches to prevent system crashes
- Consider memory usage when working with large or high-resolution images
- Resource Management: Close file pointers or use context managers (
with Image.open(...) as img:) to prevent memory leaks.