Plugins

A browser that lives in the DSH host: every session gets its own tab, the AI drives it, and you watch or take over that same tab inside the DSH Web UI — logins, 2FA, QR codes and CAPTCHAs included.

会话归位：把游离（未分组）会话按 canonical cwd 重新归属到匹配的工作区，只修 workspace 归属记录，不动会话文件。

Turn approved tracker tickets into review-ready pull requests with DeepSeek Harness.

Preview, debug (logs and screenshots), and publish WeChat Mini Games inside the dsh Web GUI, through the official mini game helper service

In-process DeepSeek Harness subagent provider that seeds a child with only the last N completed parent turns (fork-lite), leaving official fork untouched.

Shows the running agent step above the web composer as a Chinese sentence: its step number, the tools it is running, and how long it has been going. A finished step keeps its duration on screen until the next one starts, so a slow step can be identified after the fact.

Turkish (Türkçe) language pack for DeepSeek Harness (dsh) — a client plugin that registers the 'tr' UI locale.

Maintained fork of godchen520/dsh-web-search-bing adapted to DSH 0.1.5-rc.1: Bing-backed provider for the built-in web_search tool, scraping the public cn.bing.com HTML results page with no API key, reachable from mainland China, and keeping searches off the model's own search quota. Endpoint and result count configurable.

Office views for DSH Agent Teams.

Engineering work-tools for DeepSeek Harness: registers two model-facing Host Tools — a scoped `git` runner, and a package-manager runner (`dev`) that detects npm/pnpm/yarn/bun from the workspace lockfile and picks the right verb per manager. Both run through dsh's sandboxed shell and return structured stdout/stderr/exitCode, so the agent gets focused, reviewable results instead of raw bash, and adding another tool is a copy-paste of one register block.

Local file recall: indexes the folders you choose into one local SQLite database, so 'where did I put that file?' is one query instead of a disk walk. Caches, VCS and program folders are pruned per directory; each folder keeps its own incremental anchor, so a folder added later is backfilled in full. Read-only: it never modifies, moves or deletes your files. Works on DeepSeek Harness 0.1.7 through 0.2.x, tested on 0.2.0-rc.1.

Sidebar conversation actions: open the row menu on right-click, rename by double-click, copy the session id, and delete a conversation together with its storage after a confirmation.

Knowledge Planet (知识星球 zsxq) integration for DeepSeek Harness: cookie/QR-login auth against the unofficial web API (api.zsxq.com/v2), exposes agent tools (groups, topics, topic detail, search, publish, comment, like), a login flow, and a web settings pane

Live FX and market ticker above the composer, with trend charts, per-market session status and a frozen-rate currency calculator. 输入框上方的实时汇率跑马灯，含走势图、交易时段与汇率计算器。

让 DSH 智能体在新会话里按需检索同一工作目录下历史会话的记忆

Keyboard shortcut that injects an encouraging message into the running dsh-TUI conversation: steer when a tool is in flight, interrupt-and-deliver when the model is only streaming text

DeepSeek Harness 插件：把一段自定义 Markdown 提示词注入每次模型请求（独立上下文注入行），可在设置页编辑，并支持从 Claude Code / Codex 一键导入规则。

Adds an "approve for me" access mode whose approval requests are answered by an independent reviewer model instead of a person: the reviewer can read the workspace read-only, a reviewer that cannot run hands the request back to the human, and every decision is recorded with its rationale in an Approvals tab.

DSH host plugin: promote the workspace you just submitted a task in to the top of the sidebar — once per submission, and never while the task is running. 提交任务时把该工作区置顶，任务执行期间不重排。

Deny an AI agent access to .env files, credential stores, keys and any path you hide — across file tools, shell commands, search selectors and run_code. A DeepSeek Harness (dsh) plugin.

开口即成文 · Speak-to-prompt for DeepSeek Harness：云端 ASR 语音识别 + 提示词优化 + 填入草稿/自动发送，跨平台 macOS / Windows。

Report stage — academic paper writing for asset pricing and machine learning research. Ships one skill.

Data stage — data discovery and quality assessment for asset pricing and machine learning research. Ships one skill.

Literature review stage — search, synthesis, and citation-chain tracking for asset pricing and machine learning research. Ships one skill.