perfect-web-clone
Pixel-perfect clones of any webpage. Paste a URL, get a measured Vite + React replica.
62 results
Pixel-perfect clones of any webpage. Paste a URL, get a measured Vite + React replica.
AI deep-reading assistant for DeepSeek Harness and dsh-TUI: extract traceable claims, evidence, confidence levels, knowledge maps, and review questions from articles, books, PDFs, files, URLs, or pasted text.
Drop or paste images, PDFs, office docs, zips, videos and audio into the DSH composer as workspace file paths instead of model attachments — lets a text-only model agent read them via vision tools.
🐱 Soothing pastel theme for DeepSeek Harness: the four Catppuccin flavors (Latte, Frappé, Macchiato, Mocha) registered into the built-in theme runtime
AI 输入框粘贴大段文本自动缩略为 [Paste #N +M lines] 小序号标签(编号不可改);👁 点击预览全文(点外关闭)、✎ 编辑名称、↺ 恢复纯原文;无删除按钮,删输入框标签文本即消失;发送时自动展开原文并加固定方括号纯标识块分隔(编号与输入框一致);slash 命令参数展开不加装饰;代理可用 myds_read_captured 工具按编号读取标签对应文本。
Local OCR fallback for DeepSeek Harness (Web): when the routed model cannot accept image input, a pasted image is saved locally and its text read by PP-OCRv5 + ONNX Runtime — fully offline, no vision model required. / DeepSeek Harness 本地 OCR 兜底插件(Web):当接入的模型不支持图片输入时,自动把图片存到本地并用 PP-OCRv5 读出文字,完全离线。
A universal path-backed attachment dock for DeepSeek Harness.
DSH Web plugin that lets text-only models see images: paste images in the chat and send without file paths; the model discovers its own vision tools. Multimodal models pass through natively.
Custom background image plugin for the DeepSeek Harness web GUI: upload a local picture or paste an image URL, and render it behind the whole app surface with adjustable opacity, scrim, panel transparency and frosted-glass blur.
DeepSeek Harness plugin: let text-only models receive pasted images, and analyze them with a built-in OpenAI-compatible vision tool
DSH plugin: image understanding via any OpenAI-compatible vision API, paste-to-describe, and an animated whale-buddy desktop pet with status bubbles and a floating settings panel
Non-commercial pastel pixel desktop fan skin for DSH Web
Plug-in vision for text-only DeepSeek Harness (dsh) models: a `vision` tool with built-in cheap/free VLM presets, multi-image batch analysis, paste-to-hint image admission, and a web settings page with hot-reload.
Paste/drop non-image files or folders into the DSH chat composer: paste inserts native @path references, drop inserts absolute paths.
dsh-auto-paste — a DeepSeek Harness plugin (tool template, extended with a web client paste listener): 在输入框粘贴大段文本时自动保存为附件文件。
Eyes for text-only DeepSeek: view_image tool (any OpenAI-compatible VLM, local Ollama or cloud) + chat image-attachment bridge that rewrites pasted/dropped images into view_image path markers
DeepSeek Harness web plugin: paste files into the composer, store under session workspace/inbox/, read via read_inbox / list_inbox tools.
DSH standard vision skill: Qwen dynamic-resolution preprocessing + OpenAI-compatible VLM chain with failover/429 backoff, structured evidence mode, local tesseract-first long-screenshot OCR, paste-to-path (no framework patch). 8 tools + runtime skill.
DeepSeek Harness plugin: auto-detect secrets pasted into the composer, store them in the official credentials seam, and send [secret:REF] placeholders to the model instead of the value.
Paste images / drag any files into the DSH composer -> saved into the session workspace as files -> images read by modlens, other files read by the model by path
Plug-and-play image reading for text-only models: admits pasted images, projects them as [Image #N], and provides a first-class read_image tool backed by a configurable vision model, with a 读图 settings page (设置 → 读图) bridged over typert Remote.
快捷附图:在会话输入框粘贴图片时自动保存到用户配置的目录,发送消息时把图片的绝对路径一并发送给 AI 识别。设置栏中显示为「快捷附图」。
DeepSeek Harness plugin: drag-and-drop file attachment — paste or drop any local file into the DSH web composer as an @workspace path reference
Let DSH text-only-model conversations accept dragged/pasted images: save them into the session workspace and insert the file path as text, bypassing the webui attachment channel that otherwise rejects image parts.