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GuoMonth/dsh-deskwork#senguo-query

Native Skill and read-only category query tool for Senguo wholesale PC pages; requires the DSH Deskwork task browser bridge and a user login.

Stars ★ 1 Category Browser & Web Listed 2026-09-08

Install

Inside DeepSeek Harness, with dsh-market

dsh plugin --profile web add dshmarket

Or from the command line

dsh plugin --profile web add github:GuoMonth/dsh-deskwork#path:/plugins/senguo-query

Installing runs third-party code with your own permissions — it can read your files, use your credentials and reach the network. Review the source first, and pin a commit (github:owner/repo#sha) when you can.

README

English | 中文

Sign in to your business systems. Let AI help get the work done.

DSH Deskwork is a local desktop workspace powered by DeepSeek Harness. Add a website, sign in as usual, and work with AI in the same browser session. Copilot places the page next to the conversation; Agent expands the conversation while keeping the same task and browser identity.

Download

macOS Apple Silicon · Linux x64 portable archive · Release notes and checksums

Open the macOS DMG and drag the app into Applications. Extract the Linux archive and run ./linux-unpacked/dsh-deskwork. The macOS app currently uses ad-hoc signing; Developer ID signing and Apple notarization are not configured.

The app defaults to English. Choose English or 中文 in Model settings → Language. The selection is saved locally and restored after restart; subsequent model tasks use the selected language. Website content, names and existing conversations retain their original text.

The runtime pins DSH 0.2.0-rc.2, an upstream prerelease, and Electron 44.0.0. Packages include an independent runtime, Node-mode and pnpm. Verification uses real DSH and Electron with deterministic models and synthetic websites; live-model business tasks and user macOS acceptance remain pending.

Work with websites

  • Add URLs to an empty workspace. Each entry keeps its own conversation and persistent browser identity.
  • Sign in manually on the original website. Tell AI your goal, observe its progress, and stop or take over when needed.
  • Review consequential actions before execution. Reopen or refresh result pages to verify that changes were saved.
  • Use the existing DSH plugin marketplace for trusted local extensions. Extensions can execute code and access files and the network on your computer.

Reuse ERP experience

Enter @guosheng_047/dsh-erp@latest as the plugin installation source to install our latest ERP package. Use @guosheng_047/dsh-erp@0.1.0 to reproduce the published fixed combination.

ERP reuses the task browser through native Browser Use, plus native tools, approvals, attachments, Sessions and Skills. Computer Use explicitly enables the official Cua Driver Native through the ERP plugin.

Export and import experience through a single tool call in the conversation. The exported directory contains standard SKILL.md and references/knowledge.json, so another user can import it and reuse it through DSH Skills. Imported knowledge binds to the recipient's ERP scope and requires review. Structured identities, raw evidence and business samples are excluded from sharing; review free text before sharing it.

Develop

Use the pinned Node 24 and npm 11 versions:

npm ci
npm run experiment:prepare
npm run dev

npm run dev opens a synthetic UI preview. Use npm start for the desktop app, npm run check for standard checks, and npm run test:devkit for external SDK/Devkit consumers. Public tests use generated data and reserved example domains. Keep private integration inputs outside the repository.

Preview guide · Contributor guide · Documentation index · Product specification · Runtime verification

Public README pairs and bilingual release notes follow the upstream documentation convention: English source, a .zh.md counterpart, language links, and checks that require both sides to be updated. Release notes provide linked English and Chinese sections; see release authoring.

License

MIT. Third-party runtime dependencies retain their own licenses.

Content from the project README on GitHub ↗

Comments

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