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dsh-visual-plugin

Local-first visual media plugin for DeepSeek Harness with video preprocessing, keyframe extraction, and media panels.

VisionUI & ProductivityTerminal & TUIDeveloper ToolsBrowser & WebSecurity & PolicySkills & Workflows
16GitHub Stars2ForksUpdated2026-10-07

Install

$ dsh plugin --profile web add dsh-visual-plugin # or: github:jyh20030112/dsh-visual-plugin

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-visual-plugin is a local-first visual media extension for DeepSeek Harness (DSH). It enables host-level video container validation, transcoding to H.264/yuv420p, and scene-aware keyframe extraction via PySceneDetect. Extracted frames and uploaded images feed directly into DSH's active vision model, while an integrated right-hand panel provides copyable image conversation history, video playback, and draft staging.

Key Capabilities

  • Local video container validation and normalization to H.264/yuv420p using FFmpeg and FFprobe
  • Scene-aware keyframe extraction using PySceneDetect for timestamped frame dispatch to vision models
  • Dedicated right-side panel for media switching, direct video playback, and one-click answer copying
  • Direct integration with DSH native image attachments and active vision models without third-party endpoints
  • Configurable video parameters including max upload sizes, storage quotas, duration, FPS, and CRF

Useful For

  • Analyzing local video recordings and clips by extracting key scenes directly within DeepSeek Harness
  • Maintaining an organized history of image analysis and model answers with quick copy options
  • Reviewing and playing back normalized video files directly within the DSH web interface

Who It Fits

  • DeepSeek Harness web users needing native video and image analysis workflows
  • Developers and researchers analyzing visual recordings locally without third-party video preprocessing services

Documented Limitations

  • Requires host-installed FFmpeg/FFprobe (>= 6.1) with libx264 and PySceneDetect (>= 0.7.1, < 0.8) available on PATH for video features
  • Does not provide standalone vision inference; relies on an image-capable model already configured in DeepSeek Harness
  • Release 0.4.x targets DeepSeek Harness 0.2.0-rc.2 and is not backward-compatible with 0.1.x without downgrading to 0.3.2

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 0 runtime, 28 development, 19 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
jyh20030112/dsh-visual-plugin
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
f4f9e8f · 2026-10-09

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
16GitHub stars
Forks
2
Open issues
0
Last commit
2026-10-07
Last release
2026-10-07
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