Plugins

Bundles a deep-read paper library and the paper-deepread-html skill: a sidebar panel to browse interactive reading reports, upload PDFs into a managed library, deep-read them with an agent (or through an optional site auto-read worker), and manage or rebuild the library; ships the paper_deepread, paper_deepread_uploads and paper_deepread_reports model tools. Deep-read/ingest and report builds require Python 3 (the bundled skill prepares a PyMuPDF venv on first use; index rebuild falls back to plain python3).

Real-time speech-to-text inside the DeepSeek Harness composer: a live transcript while you speak, inserted at the caret when you stop, with a microphone picker. Local sherpa-onnx inference, so audio never leaves the machine.

Splits over-long screenshots into DSH-acceptable slices before prompt admission instead of letting them be rejected: vertical slices overlap so a line of text is never cut in half, and pure-JS codecs avoid native binaries. It wraps the existing attachment store instead of replacing it.

Read a video with a text-only model: with ffmpeg installed, sample frames at a 0.1-10 second interval into contact sheets where every frame carries its real timecode, extract the audio track and send it to iTingnao (needs an ITINGNAO_API_KEY) for a timestamped transcript, and describe each sheet with an image-capable model in the host, so the plugin works on its own without any other vision plugin. A composer slider sets the sampling interval, and pure audio files are transcribed without frame sampling.

Adds a screenshot tool that captures the Windows desktop to PNG and hands the path to the model, plus a composer camera button that previews, downloads or copies the capture.

Annotates pages inside the built-in browser: click an element, write a comment, and send the batch to the conversation as one message, with a cropped screenshot per note where the element can be located.

Two native tools for key-free Chinese/English search via 360, Bing RSS and DuckDuckGo, and static webpage text extraction, without a browser, Python or MCP subprocess.

Windows only (binds user32.dll via koffi; inert on macOS/Linux). Remembers the DeepSeek Harness main window's size AND position: restores both on every launch (re-asserted during a grace period to beat the default layout), saves stable manual moves/resizes as the new lock, never records minimized/maximized/fullscreen states, never adopts the default rect DSH itself places the window at (so the app's own layout resets can never poison the lock), and stays on-screen when monitors change. Compatible with DSH 0.2.1-rc.3+.

Starts a BaseMind MCP server for each session's workspace and registers the code-intelligence tools it advertises, with no MCP row to configure. Requires BaseMind installed and on PATH (basemind serve); without it no tools are registered.

Compile a video link into timestamped Markdown knowledge cards with back-links to the exact moment. Requires your own Python 3.10+ and yt-dlp (ffmpeg + faster-whisper only for videos without subtitles; Bilibili login cookies for members-only subtitles).

Windows x64 desktop tools for DeepSeek Harness to restore and foreground existing windows, observe screenshots and UI Automation elements, left-click, and type text or supported keys, with repeatable control sessions and physical Esc to stop.

Links the current DeepSeek account in DSH to a GitHub identity through the local GitHub CLI, a personal access token, or OAuth device flow, then exposes a scoped github tool for listing repositories and reading, creating, or commenting on issues.

Per-session switches for which tools a DSH conversation may call, plus a guest mode that keeps file tools inside the workspace and turns off shell and subagents.

Five DSH utilities in one plugin: drive existing sessions over QQ (needs an OneBot 11 implementation such as NapCat running alongside), ask another session a question with a context guard, pause the running turn, restart DSH on Windows with optional auto-resume (via the install-restart.ps1 scheduled task), and inject peak-hour token discipline.

In-process ChatGPT Codex authorization, model discovery, and quota display for DeepSeek Harness.

Linear tools for DeepSeek Harness: 26 model-facing tools over the Linear GraphQL API (issues, comments, relations, teams, states, labels, projects, cycles, users) plus a linear_graphql escape hatch. Requires a Linear personal API token.

API contract studio for DeepSeek Harness: decide the seven things that must be locked before coding, author and review OpenAPI, classify breaking changes by how they actually break clients, and settle error shapes, versioning and deprecation — six playbooks plus a router.

Rejects foreground waiting in DSH agents: waiting commands (sleep, wait, tail -f, watch, ping without -c, infinite loops), blocking wait tools (wait_agent, job_output with wait: true), progress polling (the same check command repeated within a window) and commands that need human input/confirmation (sudo without -n, ssh without BatchMode, login flows, interactive editors, docker -it) are refused with an actionable retry to run in the background or end the turn. Configurable budget and polling window, message language follows the system (zh/en), zero runtime dependencies.

Governed literature library: import papers, extract text, keep one index row per entry, and verify quotes verbatim.

Folds REA's 207 reverse-engineering tools (Ghidra / Hopper / IDA backends) into 3 commands plus 6 read-only domain entries: about 5 KB of resident tool text instead of 757 KB. Ships no engines; rea-agents, Ghidra 12.1.x and JDK 21 are installed separately.

Douyin operator for DSH: drives your own Chrome to read the feed, comments and DMs, reply in-thread, and upload a local video through the creator center - every write passes a policy gate and publishing always needs your click.

Local document library for DSH Desktop (Windows only, installed with the bundled PowerShell script): upload files once, then every conversation can search and read them through four tools (library_list / library_search / library_read / library_save); upload, download and batch download live in the Settings panel. Files stay on the machine unless you enable the optional vision model, which sends images to the endpoint you configure.

Weather care for DeepSeek Harness: turns a forecast into one sentence you can send — clothing and umbrella advice from feels-like temperature, humidity and air quality, adjusted for how cold-sensitive the user is and how they commute. Also a switchable daily care push, extreme-weather alerts and reminders, evaluated when the agent wakes (a host such as qq-bridge can wake it on schedule). Preferences stay on the local machine.

Exposes Windows display geometry and the foreground window rect in physical pixels.