Plugins

EPLAN Electric P8 automation for DeepSeek Harness (Windows): a bundled eplan-mcp server drives the running P8 2025 instance through the EPLAN Remote Client interface, a settings page sets the EPLAN install root, and five skills cover connection and safety, C# scripting, documentation lookup, EEC Pro development and setup. Five offline SQLite documentation indexes (P8 2025 API reference, P8 2025 platform help, P8 2026, P8 2027, EEC Pro 2026) answer questions without network access, but they are not shipped in the repository: download the release zip or build them with the included scripts; the P8 2026 and P8 2027 rows ship disabled. Requires EPLAN P8 2025 with Remote Client access enabled and Python 3.12+ with mcp and pythonnet (run scripts\setup.ps1 once). A version panel records releases and applies a newer one from the repository.

Windows QQ character integration kit for DSH with NapCatQQ/SnowLuma, Bilibili, local GPT-SoVITS voice, revisable memory and a dashboard; development preview requiring companion-service setup.

A DeepSeek Harness document-redaction workbench adapted from whatcccup/cece_legal_skills (MIT). Processes DOCX, PDF, TXT and Markdown locally, with human review, PDF masking and OCR-line review, case-consistent placeholders, Word restoration, history and optional Agent rule previews and rollback. Requires Python 3.9+ and first-run dependency downloads; model access is needed only for rule generation. Version 1.4.0 is a prerelease verified on macOS Web and DSH desktop; new Windows setup and OCR paths await on-device revalidation. The upstream is a standalone offline tool/SkillHub skill, not a DSH plugin, so it cannot be installed alongside this bundle.

Deck-generation skill for the National College Student Career Planning Competition. It takes a contestant's profile, materials and photographs, drafts a page-by-page outline for confirmation, then renders a 15-20 page reading-type PPTX (under 15 pages is flagged as a page-count error) using 17 page types, three built-in themes or a user-supplied template; the build audits the estimated layout (text overflow, per-page word count, missing evaluation dimensions, material gaps) and the rendered PDF is checked again for out-of-bounds and overlapping text. Requires Python 3.9+ with python-pptx, python-docx and Pillow; LibreOffice (soffice) and pdftotext are optional for the PDF layout re-check.

Evidence-based experience learning for DeepSeek Harness

Samples a video the way a person does instead of downloading it: metadata and chapters first, then timestamped frames as images, subtitle-first transcripts (local ASR only when the platform carries no subtitles), AudioSet 527-class sound tags and top comments — 21 tools sharing one on-disk cache behind a cross-process lock. Needs Python 3.10+, ffmpeg and the vidlens package (pip install vidlens-mcp); a missing install comes back with the two ways to fix it instead of a bare ImportError.

Structural long-term memory for DSH: supersede, decay and entity-state tracking across 15 MCP tools, automatic recall and capture hooks, and a bounded pointer index published per request instead of filling the window. Requires Python 3.10+ with torch and sentence-transformers; the first run downloads a ~470 MB embedding model.

Builds presentations by driving the LibreOffice installed on the machine over UNO instead of writing OOXML in JavaScript: `lo_build` opens a real Impress document from structured slides and lets LibreOffice export editable PPTX/ODP plus PDF and per-slide PNG, `lo_render` re-renders an existing PPTX/PPT/ODP, `lo_convert` converts between Office formats, `lo_probe` reports the detected soffice path, version and UNO bridge, and `lo_config` edits the stored settings. Needs a local LibreOffice (verified on 26.8.1.1); it uses the bundled Python, so no system Python is needed, and it keeps one warm soffice process between calls. Fully verified on Windows only; on Linux it falls back to the system python3, which needs python3-uno.

Multilingual writing, chunked long-form collaboration and continuity review, with on-demand DSH delegation discovery. Requires Python 3.9+ on PATH.

Eight academic skills bundled for one-command install — publication-ready academic figures designed from real data with visual review, AI-text humanization, paper polishing and rewriting, PubMed citation verification (DOI/PMID reconciliation), Chinese citation and medical-book reference checks, and WeChat medical article structuring. Three skills run fully local, five call external services only when used (NCBI E-utilities, DOI resolvers, publishing platforms), declared per skill. Zero telemetry, no install-time scripts. Skills run local Python 3.8+; the academic-figures skill also needs its pip dependencies installed.

A DeepSeek Harness (DSH) plugin that lets you control Universal Robots (UR) collaborative arms directly from natural language — by default an offline, kinematics-level simulated arm, with a real-robot channel that stays off until it is explicitly enabled. Needs a Python install with numpy and paramiko (pip install -r requirements.txt). Developed by Suzhou Nonead Robot Technology Co., Ltd. based on the same logic as the company's own nUR MCP Server. (Suzhou Nonead Robot Technology Co., Ltd.)

Exposes any local service on a LAN address and a public cloudflared quick-tunnel domain behind one password login, with per-route open/block gates managed from the plugin settings page. Requires Python 3 and cloudflared on the machine, and reports either of them being missing or misconfigured in the settings page before you start; LAN and local access are passwordless by default, while the public tunnel requires the passcode.

DSH hardware sandbox plugin: assemble a 3D scene of ESP32 / BME280 / PIR / LED components with protocol- and voltage-checked port wiring, run real Python project code in the loop against simulated I2C/GPIO hardware with fault injection, let networked device simulators report over HTTP to a real backend (validated end-to-end against a live seat-reservation system), observe a real device read-only and map its state onto the scene, and add support for new boards through data-driven pin definitions. Ships 16 hw_* agent tools plus a bundled SKILL.md.

Registers a real-browser URL-to-text MCP server in a DSH profile: fetch_url and fetch_urls render JavaScript-heavy and anti-bot Chinese pages (Zhihu, CSDN, Juejin, cnblogs) and return clean article text as JSON with per-tier diagnostics, and crawler_status reports whether the browser is available. Needs a one-time Python dependency setup after install.

Wraps the Scrapling Python library in up to nineteen model tools, registered by probed capability: real-browser rendering for JavaScript-only pages, CSS/XPath extraction that returns data instead of Markdown, self-healing selectors, reusable login-state sessions, XHR capture, page screenshots, gated browser actions and a domain-scoped crawler with content/sitemap/feed/Shopify modes on the official job backend. It can also replace the built-in web_fetch / web_search, and serve the same tool table over MCP. Requires Python 3.14+ with Scrapling installed; the browser tools also need a Chromium engine for patchright, which an optional CLI installs on macOS arm64 only.

Image and video production toolkit for DeepSeek Harness - background removal with quality tiers, local inpainting retouch, headline and logo compositing, batch platform-size exports and image QA reports; for video, AI subject matting with background replacement (RVM ONNX, plus a chroma-key path), animated titles with fade/slide/typewriter/karaoke presets, 53 transitions with stylized variants, and light-effect and grading presets with LUT support, alongside footage inventory, accurate cutting, subtitle burn-in, music mixing and platform-spec exports; it provisions its own local Python runtime through a bundled bootstrap script.

FormatForge for DeepSeek Harness: forge any file format (pdf/docx/xlsx/pptx/eml/toml/...) into AI-readable structured data. Thin bundle that spawns the local Python CLI (python -m formatforge) and returns protocol JSON; enhancement is delegated to the cur

Local code knowledge graph for agents: parse a codebase (Python/JS/TS/Go/Java/Rust) into a SQLite index and answer callers, callees, deps, dependents, impact and full-text questions over it.

Folio (兰亭) @nyantused/folio-dsh-tools: 15 schema-validated tools (memory + quality gates) plus an L0 guard of the consulting document-generation engine; pair with @nyantused/folio-dsh-events for the full session protocol.

Folio (兰亭) @nyantused/folio-dsh-events: session-protocol events — auto session-start reminder + auto-save on session close; pair with @nyantused/folio-dsh-tools.

Windows x64 DSH workbench for scheduled, unattended novel writing and Fanqie publishing, with configurable tasks and optional free-quota model channels. First start downloads a pinned Python and Chromium runtime (about 278 MB) into %LOCALAPPDATA%\ChapterWhale; publishing signs in to your Fanqie writer account, and the free-quota channels sign in with IDE vendor accounts (CodeArts, WorkBuddy, Qoder, TRAE).

Open and edit Visio (.vsdx) drawings in a DSH panel: live SVG preview, shape and connector editing, layout checks, and a visio tool so the agent can read and modify the drawing. The core engine is Python standard library and needs no Visio or Office; requires Python 3.9+ on PATH, and Pillow for PNG export, snapshots and stencil previews.

Windows screenshot and annotation plugin with configurable global hotkeys, always-on-top pinned images, and capture delivery to the current DSH chat draft; requires a compatible Python runtime. Ships a prebuilt Windows executable (native/DualCtrlSnip.exe) and a Python helper that polls only the state of the selected hotkeys.