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DSH Vision Toolkit

Anionex/dsh-vision-toolkit · skills

A native DeepSeek Harness vision toolkit for image Q&A, long-screenshot OCR, UI reconstruction, grounding, pixel diff, and Artifacts.

★ 391GitHub stars
18Forks
2026-08-15Last updated
TypeScriptLanguage
MITLicense

Project overview

DSH Vision Toolkit Install: dsh plugin --profile web add @anionex/dsh-vision-toolkit DSH Vision Toolkit brings agent-vision-toolkit into DeepSeek Harness as a native Profile Bundle.

Give text-only DSH agents eyes—and keep vision in the harness—with intent-aware image Q&A, OCR, original-pixel grounding, UI restoration, pixel verification, managed Artifacts, and Web Settings. Ten independent tools replace shell glue with structured schemas and Agent-scoped progressive exposure. Upstream toolkit: Anionex/agent-vision-toolkit · Project website: agent-vision.anionex.me Why this exists

agent-vision-toolkit treats vision as an Agent-callable capability rather than a property of the base model. Its method carries the reason for looking into the visual request, moves from the whole image to targeted regions, and verifies coordinates, colors, geometry, and differences with focused tools instead of accepting a generic description as evidence.

Install command

dsh plugin --profile web add github:Anionex/dsh-vision-toolkit
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