Fully-local image understanding & OCR via macOS Vision Framework: `ocr_image` (text, table layout + coordinates) and `view_image` (scene, faces, QR) — paste multiple images into the web input box or pass path/URL/base64; images never leave your Mac.
Install
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:niyongsheng/free-vision-skill
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time. Only install sources you trust, and pin a commit (github:owner/repo#sha).
README
Fully-local image understanding (OCR / table extraction / description) via macOS Vision. Images never leave your Mac.
Install (DSH-Plugin)
dsh plugin add @niyongsheng/free-vision-skill
Then add to cordis.patch.yml:
- insert:
- id: free-vision-skill
name: '@niyongsheng/free-vision-skill'
config:
timeout: 120000
Tools
view_image— describe image content (scene, people, QR, composition)ocr_image— extract text;layout=truefor table structure + coordinates
Input: http(s) URL / base64 / local path.
Paste-to-path (Web UI)
Paste (⌘V) an image in the DSH web input box → its local absolute path is inserted. Loopback-only upload, magic-byte checked: PNG / JPEG / GIF / WebP / HEIC / HEIF.
Usage (Claude Code Skill)
swift scripts/ocr.swift image.png # OCR
swift scripts/ocr.swift --layout image.png # table + coordinates
swift scripts/ocr.swift --describe image.png # describe image
Notes
- Requires macOS 11+ & Xcode Command Line Tools
- First run compiles ~5–10s, cached afterwards
License
MIT © 2026 Nico
Links
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