Plugins

Git tab that covers the session workspace root together with every additional root registered through multi-root-workspace, so sibling checkouts appear as separate sections with their own branch, ahead/behind, line counts, directory tree and commit history; clicking a file opens its unified diff (or whole content, for untracked files) and clicking a commit opens its patch. Each section also has a commit box that stages and commits only the listed files (`git add -- <files>` + `git commit -- <files>`).

Registers the github-push skill so every session follows one fixed commit-and-push flow, with a pre-flight secret scan, an abuse-resistant retry policy, and local-proxy discovery when github.com is unreachable directly. Runs on Windows only: the push skill uses Windows PowerShell 5.1+ and curl.exe.

VS Code-style multi-repository Git panel in the DSH right sidebar: repository and branch pickers, staged/unstaged changes with inline diffs and per-file actions, commit, stash/tag/worktree menus, a connected SVG commit graph with branch multi-select, and fetch/pull/push/sync.

GitHub console inside DSH: token sign-in, repositories, issues, PRs, commits, notifications, stars and activity, one-click cloning that keeps itself up to date, and a categorized skill library that installs GitHub skill projects for the agent.

Todo plugin that records when each task is created and completed, with table, kanban, gantt and calendar views over the same data, categories, priority and type, @workspace-file links, JSON/CSV import and export, and a todo_time_log agent tool with /todo commands.

Right-sidebar flow editor for prompts, model switches, commands, condition branches and loops, executed only at turn boundaries so an in-flight request keeps its model.

Manage local skills across AI agents with version comparison, shared-directory consolidation, and recoverable migration and deletion.

Autonomous product-polish loop skill: every round opens a fresh brainstorm from 3 forced perspectives, picks one small angle capped at ≤3 files and ≈100 lines, implements it, verifies with the repo's own tests, build or lint, and commits it as a single round commit; the round is logged to a per-project ledger, and ideas too big for one round go to an icebox. A red check ships nothing — the round commit is reverted immediately so the failed diff stays in history. Non-git targets are rejected before any work starts. Pure skill bundle: no MCP server, no runtime dependencies. Requires DSH 0.2.1-rc.2 or newer.

Skill management panel inside DeepSeek Harness settings: lists global and per-project skills, marks whether the running DSH actually loads each one, offers one switch that controls both model and slash-command invocation, previews and edits SKILL.md with the chat UI markdown renderer, and creates, imports (folder or zip) or deletes skills into a recovery folder. It only reads and writes the local skill roots (~/.dsh/skills and <project>/.dsh/skills) through its own Host routes behind the DSH Connection trust fence; no telemetry, no outbound requests, no credentials.

Hold Space to record and release to transcribe and send, without focusing the composer first. Esc cancels and window blur auto-cancels. Requires the official voice-input bundle (`@deepseek-ai/dsh-experimental-voice-input-bundle`) enabled with its speech model downloaded; otherwise Space is left alone.

Adds a composer microphone button that records audio as MP3 (default), WAV, or WebM and attaches it to the current prompt as a conversation file attachment. The format is chosen on the plugin's own detail page under Settings > Plugins; recordings are passed to the host through the conversation draft-attachment channel and are not written to disk by the plugin.

Ask a vision-capable model about a local image from any session, including sessions whose own model is text-only. On the default path the plugin calls the host's route in-process with ctx.llm.stream(), so the host's credentials stay inside its provider adapters; only the optional direct/custom OpenAI-compatible routes read one key (from the plugin config or an apiKeyRef into ~/.dsh/.credentials.yaml).

Image generation and editing with configurable APIs, reference images, and an on-demand annotation canvas. Requires your own OpenAI-compatible image API endpoint and key.

Annotate elements on real Chrome and Edge pages, then send selectors, comments and screenshots to the agent for visual front-end editing.

A self-justification gate for outbound claims: a claim needs a checkable source (an http(s) URL plus a quote of at least 8 characters), every number in the text must appear in a quote, and a quote whose vocabulary overlap with the post is under 10% counts as an invalid citation; absolute wording is rejected when the only evidence is second-hand. All verdicts come from deterministic rules — no model call, no network. The guard subcommand refuses to run the publish command when the gate fails (fail-closed), explains what is wrong and how to fix it, and requires an --ack note on the second attempt stating what changed; after three attempts it stops and hands back to a human. Ships check / explain / fix / guard, with 30 tests.

Connects litman, a local literature manager driven by the `lit` command, to DSH: a sidebar entry lists your litman libraries and opens one as a workspace in a new session, and a bundled skill, after asking you, installs litman with its official installer and connects litman's own skills.

Run AI commands in real NyaTerm terminal sessions, reusing saved groups, jump hosts and local terminals, with a per-workspace allowlist; commands stay visible and auditable in NyaTerm.

Control a local Linux desktop from DeepSeek Harness with 19 tools: screenshot, mouse, keyboard, scroll, window, application, display and state-verification control over a native X11 session with XTEST, plus optional AT-SPI accessibility-tree reads and widget value setting. Not for Wayland. Requires xdotool on the host (XTEST input); screenshots and window control also want scrot, ffmpeg, wmctrl, xrandr and xprop, and the AT-SPI tools need python3-gi, at-spi2-core and libatk-adaptor. Missing packages can be installed from the plugin's dependency panel with sudo.

One-click screenshot for the DSH composer: a scissors button (Shift+click hides the window first) opens a native full-screen crop overlay with window detection, drag-to-move and 8-direction border resize, then attaches the cropped PNG through the composer paste pipeline. Windows only, DSH desktop app 0.2.1 or later.

Ecommerce research for DeepSeek Harness: OAuth into the Nexscope MCP server, marketplace data across Amazon, TikTok Shop, Walmart, Shopee, Temu and 1688, plus a bundled nexscope skill.

One DSH tool that runs a command on any execution surface the machine has -- WSL, MSYS2, Git Bash, PowerShell, nushell, interpreters, throwaway containers, ssh, real terminal windows and a real console -- and reports the version each one gives and the capabilities it has.

Hao123-style AI navigation page: 95 verified entries across 8 categories, a search box matching names, aliases and pinyin initials, per-site in-site search, bookmark HTML import, a favicon proxy that keeps the page free of third-party requests, and an offline rules-based recommender that suggests a complementary tool stack for a stated need.

macOS computer use with eight computer_* tools: accessibility-tree and Vision OCR screen reading, actions by element index or visible label that also reach background windows, and CoreGraphics mouse and keyboard events with a resident low-latency daemon for game-grade input sequences; its Swift helpers compile on first use, so there is no runtime dependency.

Side panel for DeepSeek Harness that tracks a 15-ETF national-team basket intraday from Eastmoney and Tencent quotes (pure Node, zero dependencies): capital flow, minute-level support pulses and a composite read.