Plugins

DeepSeek Harness 右侧栏阅读器：打开 PDF、EPUB、Markdown、和 CSV 等文件，划词后翻译、解释、总结、复制或发送到输入框。

Open files from the DSH right Sidebar as tabs in the main workspace, with live two-way editing and Markdown preview sync.

Read and edit a Notion workspace from the agent: 10 tools over pages and databases, content handled as Notion-flavored Markdown, and writes guarded by a content-hash version check, a preview diff and one-step undo, so an edit made by hand in Notion is never silently overwritten. Installs with dsh plugin add; no build step. Requires a Notion integration token (or a personal access token) and sharing each target page or database with the integration.

Bilingual PDF reader for DeepSeek Harness that translates paragraph by paragraph: single-page, selected-text and full-document translation with a prompt that asks the model to keep formulas, citations and DOIs, a glossary that forces chosen terms, bilingual / translation-only / source-only views, per-paragraph notes with page highlights, document Q&A, and Markdown / printable HTML export.

Draws a bar chart under Markdown tables whose columns are mostly numeric, with no tool call or server.

Composer tweaks for the DSH input box: a Markdown source/view toggle, Markdown rendering for user messages, one mixed file-and-folder picker backed by the macOS open panel, a GenUI prompt switch inside the plus menu, an open-in-new-window action on sidebar Session rows (needs the separate `dsh-popout-window` host plugin), and a collapsible subagent tree. Requires DSH 0.2.x.

Digital Study: a private WeRead study in the DSH sidebar, in a calm light-green paper palette. The shelf folds into ten categories and carries a slightly deeper paper tint of its own; highlights and thoughts page through, copy per item, and export as front-matter Markdown (one file per book or a cross-book batch) into a folder you choose; the whole study backs up and restores as a single JSON bundle. Thoughts read like handwritten notes: looser line height, the source book shown in full, long entries folding behind a show-all control, and a same-chapter highlight block for context. A five-shade reading heatmap draws only the days up to today, keeps its numbers on one line underneath, and a year-scoped KPI dashboard sits above it. Sync is incremental: a local ledger plus per-book counts mean an unchanged library refreshes in 2-3 seconds instead of a full pull, and a banner reports progress and dismisses itself after eight seconds. Search covers shelf, books, highlights and thoughts with type filters. Reads WeRead through the official agent gateway using your own API key, keeps everything in local JSON and never writes back. Requires DSH >=0.2.2-rc.1.

Article Review page in DSH's native right sidebar: turns Markdown, Word, PowerPoint and PDF articles into sentence-addressable text, lets you comment on any sentence, and hands the open review to the agent as a composer draft. Six agent tools let the model read every comment, revise the article (in place for Markdown, as a sibling <name>.revised.md for binary formats), resolve the comments, and record recurring wording preferences into a long-term writing-style memory injected into later prompts. Extraction includes a dependency-free DOCX/PPTX reader; PDF text extraction runs locally through the host's Python + pypdf (or poppler's pdftotext) and is unavailable without one of them. No network calls, no telemetry.

Composer prompt library: reusable global and per-project prompts are stored as Markdown files and appended to the draft on click or @ mention; the global library works out of the box, while project groups appear only after "config.root" is set in the profile patch.

A three-scope TODO board for DeepSeek Harness (user, workspace and session) with nested folders that can reference one item from several places, T0–T9 priorities, drag reordering, batch actions, a floating panel that also opens as a right-sidebar tab, Markdown preview windows that can stay open with autosaving title and body editing, and agent read/write tools, with every write gated by DSH approval.

A Feishu/Lark channel for DeepSeek Harness: WebSocket inbound messaging that steers a running turn instead of queueing behind it, Markdown tables rendered as native Feishu table components, code blocks kept on their own lines, 13 Feishu tools, voice input and output, media upload, a model fallback chain, and a web settings page split into six grouped tabs. Runs on a self-built Feishu app over the long connection, so no public endpoint is needed.

Audits and evolves agent context at four scopes: a single repository, a group of related repos, a knowledge hub, or the whole machine. Discovers projects, instruction files, skills, tools, knowledge, project state, evidence and credential references; reports drift, duplicate facts, broken pointers, paths left unverifiable in prose, budget overruns, unindexed knowledge, stale state and unregistered credentials; scores each scope on the dimensions that belong to it; and turns findings into reviewable migration plans that back up every file before moving it. The format contract behind the metrics is written down as a versioned spec (CTX rules, markdownlint-style IDs) that follows open conventions — AGENTS.md for instruction files, llms.txt-shaped link indexes. Also scaffolds a deliberately small hub for durable knowledge and project state. Ships a stdlib-only Python CLI plus two skills, with credentials referenced by path and never printed. Requires Python 3.9+ (stdlib only) and DSH 0.2.1-rc.2 or newer, below 0.3.0.

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 Markdown files render as a formatted preview with a source toggle. Each section has a commit box that commits only the checked files (`git add -- <files>` + `git commit -- <files>`), drafts the message automatically when left empty, and offers commit, push and commit+push; the toolbar keeps a repository picker, scoped refresh, per-file checkboxes, and a font-size control that scales the whole panel.

Local-first task workbench for DeepSeek Harness with today, week and all-task views, single-day and multi-day tasks with optional times, a four-state idea pool, and daily/weekly/monthly reviews that only a human can write.

Scheduled model-news radar: collects official release announcements from LLM vendors through RSS, Hugging Face and GitHub organisation APIs and changelog pages (a 6-vendor sample list is bundled, a user-maintained list is read from ~/.dsh/model-news-radar/sources.json), deduplicates them into daily, weekly or monthly Markdown reports and opens a DSH session that writes the summary. Read-only, no logins, no third-party dependencies.

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.

A-share research tools for DeepSeek Harness: stock search, real-time quotes, daily K-line, financials with TTM folding, valuation and Markdown research notes, using key-free public endpoints.

Zhinao (second brain) for DeepSeek Harness: Markdown-authoritative layered memory (L1 long-term model gated by user confirmation / L2 knowledge with mandatory sources / L3 recent status under daily quotas), a local recall ledger explaining every injection, lifecycle engine with weekly review and a Web panel. First-run wizard initializes a blank brain, adopts an existing Zhinao directory read-only, or fills in only missing skeleton files; existing files are never touched.

Copies a text selection anywhere in the DSH conversation as Markdown source on Ctrl+C, restoring headings, lists, GFM tables, fenced code blocks and TeX math.

Adds a hover toolbar to every Markdown table in DSH Web: one button copies the table as Markdown, the other copies a 2x PNG of it taken with the current theme background.

Compare Git/SVN versions across repositories and export Chinese Markdown release reports with optional approved model analysis.

File-based task pool and dispatcher for DeepSeek Harness: keeps a P0-P3 backlog as Markdown, hands one task at a time to a background subagent, gates delivery by rerunning the project test command, and accepts the result against a git commit or a file snapshot; git and non-git directories both work.

Layered memory for AI agents: five verbs (wake/work/pit/tomb/close), core layer read every time, archive on demand. Plain markdown, four pages created on first run; survives restarts, model swaps and plugin removal.

Per-workspace personal knowledge base for DeepSeek Harness: each identity gets an isolated local library — import PDF, Word, Excel, Markdown, text, HTML and images, auto-chunk and embed into SQLite with FTS5 + vector hybrid retrieval, then ask questions in chat with numbered citations back to the source. Local-first, no cloud upload; vector embeddings need a local Ollama (default bge-m3), and without it retrieval degrades to FTS5 keyword search.