- name
- openclaw-magika
- description
- AI-powered file type detection. Detects file content types (200+ types, ~99% accuracy) using Google Magika deep learning model. Triggered when: (1) user asks to identify/check/detect file type, (2) analyzing uploaded files, (3) batch classifying files by content. Requires: magika CLI (pip install/pipx install/brew). Reads: no config files. No data sent to third parties; local inference only.
- metadata
- {"openclaw":{"emoji":"🔍","requires":{"anyBins":["magika"]}}}}
openclaw-magika
AI-powered file content type detection using Google Magika.
Quick Use
# Single file — label output
magika -l /path/to/file
# MIME type output
magika -i /path/to/file
# Recursive directory scan
magika -r ./workspace/
# JSON output (for programmatic use)
magika --json /path/to/file
# Batch multiple files
magika -r --json ./uploads/Common Tasks
| Task | Command |
|---|---|
| Identify single file | magika -l <file> |
| Get MIME type | magika -i <file> |
| Recursive scan | magika -r <dir> |
| Batch JSON | magika --jsonl <files...> |
| With confidence score | magika -s -l <file> |
Output Labels
Magika identifies 200+ content types including: markdown, json, python, javascript, pdf, zip, png, jpeg, html, xml, sql, csv, png, gif, mp3, mp4, exe, elf, wasm, and many more.
High-confidence predictions are marked with [HIGH]. Low-confidence returns generic labels like text or unknown binary data.
Install
# pipx (recommended)
pipx install magika
# pip
pip install magika
# brew
brew install magika
# curl script
curl -LsSf https://securityresearch.google/magika/install.sh | shNotes
- Fast: ~5ms per file after model loads
- Accurate: 99% average precision on 200+ file types
- Local: All inference runs locally, no network needed
- Size agnostic: Only reads a subset of file content regardless of file size