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DSH Vision Toolkit

Native DeepSeek Harness vision toolkit providing image Q&A, long-screenshot OCR, UI restoration, vector tracing, grounding, and pixel diff.

VisionDeveloper Tools
887GitHub Stars47ForksUpdated2026-09-26

Install

$ dsh plugin --profile web add @anionex/dsh-vision-toolkit

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
DSH Vision Toolkit integrates the agent-vision-toolkit framework natively into DeepSeek Harness. It equips text-only and multimodal agents with 10 visual tools and the bundled vision-skills playbook to inspect pasted images, extract OCR from long screenshots, ground UI elements, reconstruct interfaces into HTML/SVG, and perform pixel-level comparisons in DSH Web and Headless profiles.

Key Capabilities

  • Direct image paste handling with task-aware vision routing for text models
  • Element grounding and visual detection returning precise pixel coordinates and preview overlays
  • Long-screenshot OCR with low-content boundary cutting and overlap deduplication
  • UI and sketch restoration into editable HTML, CSS, and SVG vector graphics
  • Pixel-level diffing with difference metrics, ranked change regions, and heatmaps
  • Local HTML and web document screenshot rendering with full-page support
  • Foreground extraction and dominant color palette analysis

Useful For

  • Pasting screenshots into DSH chat to diagnose errors or ask task-focused visual questions
  • Extracting clean, structured Markdown from lengthy chat logs, feeds, or scrolling pages
  • Converting UI mockups, hand-drawn wireframes, or reference designs into working code
  • Automating GUI testing and verifying visual changes between baseline designs and rendered implementations

Who It Fits

  • DeepSeek Harness users needing multimodal vision analysis with text-centric models
  • Front-end developers and designers generating code from visual references
  • Agent workflow engineers building automated GUI inspection and testing routines

Documented Limitations

  • Requires a configured OpenAI-compatible or Anthropic-compatible vision model API or local endpoint
  • HTML screenshot rendering requires a locally installed Chrome, Chromium, or Edge browser
  • Configured POSIX shared storage roots are currently unsupported on Windows
  • Requires Python 3.11+ or an active network connection on initial run to download isolated standalone runtime assets

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 4 runtime, 16 development, 22 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
Anionex/dsh-vision-toolkit
Registry source
Registry curated
Registry classification
Plugin Bundle
Source checked
ce64f6e · 2026-09-30

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
887GitHub stars
Forks
47
Open issues
1
Last commit
2026-09-26
Last release
2026-09-10
For maintainers

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