Plugins

Side-panel Chrome and Firefox extension that lets DSH drive the tab you are on: pages reach the model as structured text with a numbered element list, and clicks, typing and navigation wait for your approval. Beyond upstream it adds viewport screenshots, opening a URL in a new window, scrolling inside nested scroll containers (chat transcripts, side panes, modal bodies), permission-mode, model and slash-command controls in the composer, and an opt-in developer-tools group (elements and CSS, page JavaScript, network requests) that is off by default and approved per call. The install is two halves: the bridge plugin comes from the prebuilt release tarball, and the companion extension ships as a tgz in the same release and is loaded unpacked, which is the only way Chrome accepts it. This project is a fork of omdsh-dev/dsh-browser: https://github.com/omdsh-dev/dsh-browser

Study workbench for exam prep and research: three-column task board with tags and filters, a spaced-repetition queue (simplified SM-2) that keeps finished cards coming back, a heatmap lit by actual focused minutes, weekly reports, per-day review notes, a pomodoro timer that survives panel switches, and Markdown export/import for Obsidian. Installable via dsh plugin add (dsh-study-desk on npm).

Switches the running session's persona and speaking style in place, via the composer's persona button or `/role`; each persona can bind its own on-screen mascot, the persona is appended as its own prompt section after the deployment persona without touching tools or skills, and each switch is announced in the transcript.

Loads only the basic DSH tools by default and activates the rest on demand, with a per-tool switch list in the plugin settings.

Surfaces important facts and trade-offs from the current task, with on-demand explanations and optional discussion in the main session.

Novel-writing console for DSH: five novel_* tools for the agent (list, read, context, save chapter, cast) plus a side panel with a book wizard, a cast/relation view and streaming chapter continuation.

Manage tool availability and groups for each Agent Preset, load tools on demand like Skills, and reduce model context usage.

Composer and sidebar helpers in one plugin, each switchable in Settings: a git Changes panel (uncommitted / unstaged / staged / branch diffs), ↑/↓ input history, Shift+Tab /plan toggle, one-click ▶ Continue after a stopped or failed turn, drag-and-drop queue reordering, Copy deeplink, Auto Review "Allow for this chat", project status markers with active projects first, background notifications, 11 extra UI languages and automatic updates from GitHub releases through the plugin manager.

Database explorer panel for DeepSeek Harness: connect SQLite, MySQL/MariaDB, PostgreSQL, SQL Server, MongoDB, ClickHouse, Redis, Elasticsearch and Qdrant from a third Conversation tab — browse schemas, page through data, edit cells, insert rows, design and drop tables, run SQL, import/export CSV/JSON/SQL/Markdown, and draw editable E-R diagrams. Read-only connections enforce statement-level allowlists, agent tools ship read-only by default with an opt-in write flag, and every write (including refused attempts) lands in an auditable log. Ships an MCP stdio server exposing the same connections to external AI clients.

Chrome and Edge browser control that drives the real logged-in profile, tabs and cookies through an MV3 extension and a loopback Bridge, exposing browser_* tools, a Skill and /chrome commands.

WeChat Official Account typesetting workbench: renders Markdown into inline-styled HTML you paste straight into the WeChat editor, with a sidebar panel, 11 themes and five model tools for block-level revision.

Real browser tools for DeepSeek Harness: browse and extract web content, fill forms, manage multiple tabs, and execute multi-step tasks, with incremental DOM, session isolation, screenshots, action-result checks, and archived evidence recall.

One-click prompt improvement for the DSH composer: press the sparkle button to rewrite the draft into an agent-ready prompt, replaced in place and undoable, with a deterministic fidelity check that keeps every path, identifier, number, URL and backticked token verbatim, plus a length ceiling that blocks inflation.

DSH 学者工作台：本地论文库 + Idea 书柜 + 知识图谱

Agent-native browser DevTools workbench for DeepSeek Harness. / 让你的DSH获得非常强大的 Chromium DevTools 能力

SVN (Subversion) toolset for DeepSeek Harness: 33 agent tools (status, diff, log, blame, commit, merge, props, lock, changelist...) plus a sidebar panel with side-by-side BASE/working-copy diff, conflict resolution and AI commit logs.

DeepSeek Harness plugin that blocks risky npm installs with metadata and deep supply-chain scans

Read-only trajectory review in a resizable conversation sidebar, with rule analysis, optional model explanations, evidence navigation, and same-range run comparison.

Math Agent Framework for DeepSeek Harness: symbolic derivation engine (CES / quadratic forms / ODE / PDE), SymPy verification, Lean 4 compiler-verified formal proofs, and QED-style multi-agent adversarial verification, exposed as native DSH tools through a TS shell bridging a Python engine. Requires cloning the math-agent-framework repo and `pip install -r requirements.txt`, with MATH_AGENT_HOME pointing at the repo root. Every result carries provenance (engine versions, seed, tolerances) and is marked untrusted data.

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

Windows-only computer use for DeepSeek Harness: captures the virtual screen and drives mouse & keyboard through 9 tools built on PowerShell and Win32 SendInput; pairs with picturereader so text-only models can complete the screenshot-analyze-act-verify loop fully locally.

Session handoff & context management: structured handoff documents (export/resume/status) so a fresh session can continue seamlessly, plus active context pruning (acp_* tools via the official compaction API with model-authored summaries).