Plugins

Plugin development toolset: mark files read by shell commands, sync code into a profile, mock a plugin backend, preview a plugin frontend, verify plugin loading, spin up an isolated test instance, run named shell shortcuts, and list the plugin's tools.

Task-tiered session notifications for DSH: marked main-line sessions alert as they finish, other sessions batch into one summary, plus balanced and silent modes; per-event sounds or uploaded audio, per-session mute, click-through notifications, and an option to wait for subagents.

Quiet break, water, long-session and late-night reminders delivered by three bundled chibi companions, with cloud bubbles and a light bounce. Works in-page without extra downloads; the optional macOS desktop window uses a separately downloaded Electron helper.

Plays a voice alert and a browser notification when a turn finishes, asks for input, or fails, and can push the same summary to a Feishu bot webhook as a card.

Turns real git history into two Chinese changelog drafts (short for users, long for developers); every entry carries its commit SHA and an evidence-backed verified/unverified mark, and commit subjects are never translated.

By default, blocks marking a team task complete without a passed independent verification record whose commit matches the worktree HEAD, and adds a dependency DAG board and a settings page.

Keeps an unattended DeepSeek Harness session moving when nobody answers ask_user_question: it fronts the question waterfall, leaves a human answer untouched, and after a configurable window (120 s by default) submits the option marked (Recommended)/（推荐）, or the configured first/last fallback; plan reviews stay with the human unless explicitly enabled.

OCR for scanned, image-only PDFs into Markdown, built around the fact that a book takes about an hour: every page is checkpointed so an interrupted run resumes, a progress log reports live status, and a quality report names empty pages and low-confidence lines. Requires Python 3.10+ and pip install -r requirements; the first run downloads the OCR model.

Gives agents the DSH (Cordis) plugin authoring contract and the dsh plugin market submission process, from the bundle manifest and entry module to the pull request.

A fork of Microsoft's official .NET/C# skills for AI coding agents, additionally packaged as a DeepSeek Harness plugin — covering development, testing, diagnostics, migration, and AI integration.

Extract Bilibili platform/AI subtitles or external/embedded/ASR/OCR fallback and render Markdown, Word, PDF, TXT, SRT or JSON with timestamps, bilingual alignment and a quality report. Requires Python 3.10+; platform/AI subtitles need a Bilibili SESSDATA cookie; OCR/ASR/PDF need ffmpeg, faster-whisper and LibreOffice or reportlab.

DocChain knowledge base, document conversion and knowledge-graph toolkit — filename, content and metadata search, locate-by-doc_id/name with content reading, topic listing, bulk document upload, document-to-Markdown conversion, image-similarity search, per-document image descriptions saved to a sidecar markdown (flowcharts and architecture diagrams are turned into PlantUML sketches, other images into text descriptions; the original image is replaced by a clickable link), a deep-research workflow, and a knowledge-graph layer (ontology inspection, read-only Cypher, ontology/entity/relation writes). Every script-backed capability also ships as a native DSH tool executed in-process: doc search, content search, filename search, topic info, metadata search, upload, image search, image describe, doc2markdown, plus kg schema / kg cypher / kg upsert node / kg upsert relation / kg delete node / kg delete relation. All graph operations go through the DocChain API, so no Neo4j password is needed. The configuration page keeps several docchain environments (each with its own address and credential), switches between them in one click, and pre-selects topics per environment. Needs a docchain service URL and API key (except doc2markdown); image descriptions additionally need an OpenAI-compatible multimodal endpoint (defaults to an internal gateway model, configurable).

Saves opt-in conversations as structured Markdown study notes with topic folders and a maintained index.

Manage a GitHub Pages blog from a DSH panel — browse the Markdown articles grouped by tag, edit them in a split editor with a front-matter form, and publish the changes as one commit over the GitHub REST API.

Write, check, and publish a Chinese Quarto Book: nine-step chapter writing, structure/link/figure checks, a consistent theme, and render acceptance. Loads only in type: book repositories; requires Quarto CLI and Python 3.

Meeting notes for dsh: one meeting per conversation, transcribed and speaker-separated on the machine itself, with points, assignments, handwritten notes, reviews and monthly scores in the same panel. Exports SRT/Markdown/Word and packs a meeting into a portable zip another dsh can import; confirmed assignments go to DingTalk/WeCom in one click, following your robot settings. Recognition models are swappable (a stronger local model can be imported from a file), and cloud recognition is off by default with no request made before consent. Word export needs Python and python-docx; the first run downloads a recognition model (28 or 77 MB).

Search public-domain libraries (Project Gutenberg, Wikisource, Internet Archive, Standard Ebooks) by title, author, character or half-remembered plot, or import EPUB / PDF / TXT / DOCX / Markdown, and listen in the sidebar with Microsoft Edge neural voices, offline Kokoro or the device voices; keeps your position, takes voice notes anchored to what you just heard, and discusses the book with your DSH model.

Decodo Web Data API as the fetch provider behind the built-in web_fetch tool: returns Markdown by default, pins fetchProvider to decodo, and enforces a configurable per-process fetch cap. Requires a Decodo API key; web_search is unchanged.

Registers one `valuation_service` tool that reads a workpaper tree of 01/02/04 JSON and returns one unified schema: six ratio groups, forecast ratios, DCF input slots with explicit missing markers, comparable PS/PE and IRR. Deterministic and local: missing WACC, growth, capex, D&A or working-capital inputs stay blank instead of being guessed, and assumption differences are flagged for review.

Registers one `context_extract` tool for DeepSeek Harness: it compresses a long raw document (financial report, contract, ledger) into dense structured Markdown plus JSON — key metrics, tables, numbered clauses, entities and cross-check alerts — so a downstream pipeline can work from the compressed form instead of re-reading the raw document. Financial statements, legal contracts and business ledgers are detected and handled differently; balance-sheet and cash tie-outs are run and mismatches are flagged as alerts rather than silently fixed. Read-only; never modifies the source file. Requires Python with openpyxl and python-docx.

Requires Python 3.12+; Xiaohongshu reading needs the xiaohongshu-mcp backend and a QR sign-in (ffmpeg/OCR optional). Batch-read Xiaohongshu notes and WeChat public-account articles: per-note body, image text via local OCR, video frame text and comment samples, structured JSON/Markdown output, and the original source URL on every result. Read-only: it never publishes, likes, follows or comments.

Genspark tools for DeepSeek Harness - web search, crawl, image/video/audio generation, media analysis, X/Instagram/Reddit search and model listing through @genspark/cli, with 17 typed tools and 18 /genspark-* commands. Requires @genspark/cli installed and logged in (gsk login), or GSK_API_KEY set.

AI research toolkit for DSH: a model release radar, a per-model benchmark and community report from 13 structured leaderboards plus Chinese and English community discussion, and an AI news radar over 46 feeds and 22 official X accounts; registers four tools and three skills and renders every report to Markdown with a generated table of contents.

Turns a learning request and local materials into a structured, locally stored AI course with outline, lessons, diagrams and learning progress.