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niyongsheng/free-vision-skill

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.

Stars ★ 3 Category Vision & Multimodal Listed 2026-08-15

Install

Inside DeepSeek Harness, with dsh-market

dsh plugin --profile web add dshmarket

Or from the command line

dsh plugin --profile web add github:niyongsheng/free-vision-skill

Installing runs third-party code with your own permissions — it can read your files, use your credentials and reach the network. Review the source first, and pin a commit (github:owner/repo#sha) when you can.

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=true for 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

Content from the project README on GitHub ↗