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dsh-vision-toolkit

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Extends text-only LLMs with vision capabilities for practical engineering tasks—image analysis, OCR, UI automation—without switching models or platforms, red…

让纯文本模型更好地做视觉任务的DeepSeek Harness插件:带意图的图片问答、长截图 OCR、UI 还原等|DeepSeek Harness-native integration for agent-vision-toolkit: image Q&A, long-screenshot OCR, UI restoration, grounding, pixel diff, Artifacts, and Web UI.

585 starsMIT (commercial OK)FreeQuick setup

Extends text-only LLMs with vision capabilities for practical engineering tasks—image analysis, OCR, UI automation—without switching models or platforms, reducing latency and infrastructure complexity.

Engineering teams using DeepSeek models who need vision-based automation for screenshot analysis, UI testing, or document OCR without additional vision APIs.

Claude Code Claude Cowork Claude Chat

https://github.com/Anionex/dsh-vision-toolkit

By Anionex

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install Anionex/dsh-vision-toolkit

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Extract text from long screenshots using OCR capabilities
CostFree

Trust Signals Auto-scanned

Stars585Last updated2026-08-17LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-17 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 585 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 585 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

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