
Anionex/dsh-vision-toolkit
36518Last commit Aug 14, 2026
DSH Vision Toolkit DSH plugin
DSH Vision Toolkit packages agent-vision-toolkit as a native DeepSeek Harness Profile Bundle. It provides ten agent-scoped visual tools, managed or pinned external runtime options, DSH Credentials integration, structured session results, artifacts, Web settings, and Web/Headless profile support.
How to install the DSH Vision Toolkit DSH plugin
**Install:** dsh plugin --profile web add @anionex/dsh-vision-toolkitCopying does not run this command. Review the repository and version before use.
Data source
Snapshot date: Aug 15, 2026
manifest-valid
What the DSH Vision Toolkit DSH plugin can do
- Provides image Q&A, image grounding, element detection, and long-screenshot OCR through a configured OpenAI-compatible vision endpoint.
- Offers local image operations including crop, tracing to SVG, pixel-diff analysis, foreground extraction, dominant-color analysis, and HTML screenshot rendering.
- Uses a versioned vision-tools Skill and agent-scoped progressive tool exposure.
- Creates structured artifact outputs such as PNG, JPEG, SVG, JSON, Markdown, and OCR-related files.
- Integrates with DSH Credentials, Settings, Session logs, and Web artifact presentation.
- Supports installation into DeepSeek Harness Web and Headless profiles.
Where the DSH Vision Toolkit DSH plugin fits
- Answer focused questions about workspace images.
- Extract OCR from long screenshots.
- Ground or detect UI elements using original-image pixel coordinates.
- Restore a screenshot or sketch into editable HTML/CSS and measure visual differences.
- Compare reference and generated screenshots with pixel-diff reports.
- Crop, trace, analyze, or extract foregrounds from local images.
Who the DSH Vision Toolkit DSH plugin is for
- DeepSeek Harness users working with text-only agents on visual tasks.
- Developers performing screenshot-based UI restoration or regression checks.
- Agents and workflows that need structured visual artifacts and coordinate-based results.
DSH Vision Toolkit DSH plugin limitations
- Requires Python 3.11 or newer for the runtime.
- Remote image Q&A, grounding, detection, and non-split-only long-screenshot OCR require an OpenAI-compatible vision endpoint and DSH Credential.
- Managed runtime preparation may require network access unless required packages are available in the configured cache.
- vision_html_screenshot requires Chrome, Chromium, or Edge.
- Input images are limited to PNG, JPEG, GIF, or WebP files within the session workspace or configured allowed directories.
- Current scope excludes Web upload, camera/video/audio/document ingestion, interactive box editing, automatic GUI clicking, model routing, and cross-session vision caches.
Objective checks
These signals come from public metadata scans. They are not a security certification.
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dependency counts
package.json declares 1 runtime, 13 development, 21 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.
- info
source available
Public GitHub source metadata is available for this registry snapshot.
DSH Vision Toolkit DSH plugin alternatives
dsh-vision-router
77
DeepSeek Harness vision-routing plugin with provider fallback chains and pixel-level image tools.
ModLens
1,421
A DeepSeek Harness vision plugin that turns pasted images into structured OCR, layout, and semantic evidence for supported text-only models.
dsh-robotic-harness
12
An installable DeepSeek Harness bundle for robotics and embodied-intelligence research workflows.
dsh-visual-plugin
6
Adds an OpenAI-compatible vision bridge to DeepSeek Harness, forwarding images to a configured vision model and displaying descriptions in a web panel.
DSH Vision Toolkit DSH plugin questions
What is the DSH Vision Toolkit DSH plugin?
DSH Vision Toolkit is a project included in the current DSH plugin snapshot. This page organizes repository metadata and reviewed notes, but you should still inspect the upstream repository before running it.
How do I install the DSH Vision Toolkit DSH plugin?
The page shows the install command captured from the source record. Copying does not run it, so confirm the package, profile, and version against upstream documentation first.
Which DSH profile does DSH Vision Toolkit use?
The snapshot records web as the DSH Vision Toolkit profile. DSH conventions can change quickly, so verify the manifest and README before installation.
Is DSH Vision Toolkit compatible with the current DSH release?
The source data does not include a verified compatibility matrix. Check recent commits, releases, and DSH breaking changes, then test in a profile you can roll back.
What should I do if DSH Vision Toolkit fails to load?
Check the install command, selected profile, dependency logs, and Cordis startup output first. Keep the exact error string, then compare it with this site's fix pages and upstream issues.
What are the closest alternatives to DSH Vision Toolkit?
Related plugins on this page come from the current snapshot and are only candidates. Compare capabilities, maintenance activity, installation method, and limitations before choosing one.