Plugins

Bundles the kb-curator skill, which keeps a local three-layer knowledge base and refuses to index anything the user has not approved. The L2 retrieval layer needs @kenz1117/dsh-engram installed separately, and the engine runs on Windows only.

Skill panel for the DSH Web GUI: lists every installed skill with Chinese annotations and eight category filters, runs pinyin and fuzzy search, ranks by pin and recency, and manages each skill in place (pin, disable, reveal, uninstall with undo). Ships its own maintenance skill.

Tag-based skill filtering: attach tags to DSH skills, then hand each workspace or conversation only the subset its boolean tag expression selects (for example `pdf + docx` or `aegis * plugin`). Excluded skills are deny-shadowed out of the model catalog rather than merely hidden in the settings UI; skills outside the expression can still be added by hand or force-disabled, and the bundled `tagging-skills` teaches the agent to derive a tag set from the machine it is running on.

Previews a workspace OpenWiki in the DSH Web right Sidebar: detects the wiki directory, serves it with the official `openwiki visualize` reader on a loopback port, and embeds it in its own tab, reporting the installed openwiki and DSH versions against configurable floors and checking the registry for its own updates.

Reads and writes WPS 365 cloud documents (smart documents and .docx/.xlsx/.pptx) through the locally installed wps365-cli, with conflict checks before writing; requires a WPS 365 enterprise account.

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).

Registers two tools for DeepSeek Harness. `doc_ocr` turns scanned PDFs and images into structured text (per-page text, financial tables with a balance-sheet tie-out check, contract-clause hits) through a local RapidOCR engine or a Zhipu GLM-OCR cloud engine, and `doc_preprocess` turns a directory of raw files into an Obsidian-ready knowledge base through a seven-stage pipeline with backend routing and sha256-based incremental skipping. Numbers that fail the tie-out are reported, not invented. The local engine needs Python 3 with rapidocr-onnxruntime, pypdfium2 and Pillow (pip install -r requirements.txt); the GLM engine needs ZHIPU_API_KEY.

Lets the model actually see a video: local ffmpeg samples timestamped stills and faster-whisper transcribes the audio track, so the agent reads real pixels frame by frame instead of trusting a text summary. Fully local, nothing uploaded; reports honestly when the audio has no speech. Windows only; needs Python 3.10+ and ffmpeg installed, and the first video_eyes_setup run downloads about 700 MB (faster-whisper and its model).

Adds a visible-browser Agent preset (persona and toolset for navigating, filling forms, clicking and screenshotting through the Playwright MCP toolset) plus a gate that refuses every browser tool call in other presets until the user approves that Session through the bundled browser_access tool. The bundle mounts the Playwright MCP provider itself, and both a settings page in the Plugins view and the browser_source tool switch the browser at runtime between Microsoft Edge (default), the Chromium shipped with Playwright, and a CDP endpoint. Requires keeping the shared browser-use registration row in the profile (one provider per process).

Installs the codex-cua skill so DeepSeek Harness can use Codex computer use: drives Chrome and native macOS apps through the runtime bundled with the ChatGPT/Codex desktop app, ships a persistent session client and a doctor self-check. Requires the ChatGPT/Codex desktop app with its Chrome extension, Python 3.9+, and macOS.

Registers one `office_audit` tool for DeepSeek Harness: it recalculates formulas with the bundled LibreOffice Kit and then audits the recalculated values — formula errors, broken sheet references, formula-consistency, hardcoded constants, number-format and unit mismatches, balance-sheet balance, retained-earnings roll-forward, cash tie-out, cash-flow subtotals, ratio-table conventions and data-cleaning issues. Findings are severity-ranked with the offending cell, and an optional findings sheet can be written into a copy. The source workbook is never modified. Requires Python with openpyxl and the bundled LibreOffice Kit.

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 Claude Code installed and signed in on this machine. Delegates coding tasks to the local Claude Code agent through the Claude Agent SDK, reports which files changed, supports one-command revert, and adds a Claude Mode toggle to the composer.

Toggles the rea-mcp server on and off from the DSH Web UI session header or through the rea_mcp_toggle agent tool, so the 170 mcp__rea__* tool schemas stop being sent with every request while REA is off (the tools payload drops from about 722 KB to about 95 KB) and the REA child process exits; the choice is kept in a profile-scoped state file and restored at startup by a row-level disabled expression.

Turns a Minecraft Java save into a Blender cover or animation: scans the .mca region files for flat open ground, exports the terrain to OBJ, and drives Blender headless with MCprep materials, the BPS character rig and three-point lighting. After each render it reviews the frame with OpenCV for facing, ground contact, exposure, lighting and composition, then re-renders with adjusted parameters when a check fails. Requires Blender 4.2 LTS or newer and Python 3.10+ with opencv-python and numpy; the first run assembles the Minecraft assets with the bundled setup command.

Motion graphics from a dsh session through the Miran Fann engine over MCP, with a Miran settings page and motion-design skills. Requires the Miran Fann engine installed separately (npx miran-fann setup) and a signed-in install.

Gowin (高云) 1.9 FPGA toolchain control for dsh: 15 tools covering environment and license probe, .gprj/.cst project and constraint auditing against a real GW1N board pinout, gw_sh batch synthesis and place-and-route, pnr resource and timing report parsing, programmer_cli JTAG scan and flash, arbitrary gw_sh Tcl, and the GAO on-line logic analyzer capture chain — plus a bundled gowin-fpga skill and three field-note references. Pure JS, zero runtime dependencies.

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.

Bridges the Cua Driver MCP server into DSH: installs the cua-driver executable when it is missing, starts it over stdio through the in-box MCP client, and registers its 60 accessibility-first window, input, menu, and browser tools with a bundled workflow skill and one-time macOS permission guidance.

Reads the installed plugins, MCP servers and skills, groups them by capability, and reports which preset each belongs in; can register one preset per category on request.

Read, edit, export and verify Excel VBA projects through a real Excel COM instance: modules, UserForm code, procedure lists and .frm/.frx exports. Windows only, with desktop Excel installed, Python 3.10+ with pywin32, and AccessVBOM=1.

Connects DeepSeek Harness to the official Vercel MCP server over OAuth, with per-Agent on-demand tool loading, slimmed tool schemas, paged long results and 34 bundled Vercel skills.

Five production-grade DSH tools bundled into one plugin (8 tool slots total): git regression finder (find introducer, recent changes, bisect, blame age), stack-trace decoder with local code context, YAML/ENV/properties config validator with typo suggestions, cross-platform shell escape (POSIX/PowerShell/cmd), and MyBatis Plus SQL static auditor (N+1, missing @Transactional, LIKE leading %, SELECT *, missing WHERE). Zero npm dependencies, all offline; concurrency-safe except the bisect tool (dsh-when-broke). Each sub-plugin is also installable standalone (dsh-when-broke, dsh-stackdecoder, dsh-config-guard, dsh-cmd-shield, dsh-mp-auditor).

Windows GUI automation reliability layer: probes whether a window is minimized, foreground or DPI-scaled, then clicks and types with the coordinate space and activation order handled for you. Zero dependencies, local only.