Plugins

Agent state machine plugin with a todo ledger, stall guard, phase trails and a process-isolated per-step Python worker with GUI automation lanes. Windows only; needs Python 3.10+ on PATH, and pyautogui, mss and pywinauto for the GUI lanes.

Injects a per-turn skill-selection preface chosen by the local JEV model of the jev-decision-kit workspace, so the agent loads exactly those skills instead of browsing. Requires a separately set-up jev-decision-kit workspace (Python .venv, host/preface_worker.py, models/jev/head.json); without it the plugin injects nothing.

Math Agent Framework for DeepSeek Harness: symbolic derivation engine (CES / quadratic forms / ODE / PDE), SymPy verification, Lean 4 compiler-verified formal proofs, and QED-style multi-agent adversarial verification, exposed as native DSH tools through a TS shell bridging a Python engine. Requires cloning the math-agent-framework repo and `pip install -r requirements.txt`, with MATH_AGENT_HOME pointing at the repo root. Every result carries provenance (engine versions, seed, tolerances) and is marked untrusted data.

DSH tools for reproducing and validating the ml-quant-trading protocol v1 CPU benchmark, then drafting an issue-ready report. Requires a local clone of initial-d/ml-quant-trading (set as the workspace or repoPath) plus Python and PyTorch; this plugin does not fetch the repository or install its dependencies.

Wraps Python virtual environment management commands: reduces the network and permission problems agents hit when managing environments through terminal commands, works across operating systems, and routes installs automatically through mirrors and local proxies. The tools are strictly confined by the granted read/write permissions.

暴露 run_python/run_node 工具，通过 stdin 执行代码返回 stdout/stderr/exit，含解释器路径配置卡 | Exposes run_python/run_node tools that execute code via stdin and return stdout/stderr/exit, with interpreter-path config card

Fail-closed Feishu (Lark) channel bridge: chat with a bot, get dsh agent turns back — with opt-in human-in-the-loop tool approval (Allow/Deny cards before every bash call, fail-closed timeout). Official-Python-SDK-only integration (exact-pinned); deny-by-default allowlist, webhook signature/timestamp/replay verification, per-chat sticky sessions; daily latest-SDK compatibility canary; bilingual docs.

An AI creation canvas for DeepSeek Harness. Organize project materials, reference cards and files, run local Skills, and manage versions of text, presentations, images, and video. Requires DSH 0.2.1-rc.5 or newer; document handling needs Python 3, PPT page rendering needs LibreOffice, video preview needs ffprobe, and image/video generation uses your selected local Skills and their prerequisites. API provider extension points are available, but no provider models or API Key settings are bundled yet.

Chinese industry and technology research report skill with an offline DOCX build pipeline (build_docx.py). Enforces a 9-chapter structure with a plain-language timeline (Section 2.1), 5-dimensional technical bottleneck criteria, and Make-vs-Buy cost/compensation trade-offs, verified by check_threads.py and compiled to .docx with a 3-level auto TOC. Requires Python 3.9+ with lxml.

Browses Bilibili on your behalf and actually takes part: search videos, like, coin, send danmaku, post comments, reply to other people, and keep replying when someone answers back. Reads the video's Bilibili AI subtitle (or transcribes the audio locally when there is none) so its comments talk about what the video really says, and it reads that same content before choosing whom to reply to. Instead of copying other people's sentences, it distills rules about how to sound like a person and gets less AI-ish the more it runs. Skips videos it already browsed, de-duplicates replies per thread, and after too many rounds with the same person in one comment section it reviews whether the exchange has any substance -- if it looks like two bots complimenting each other, it says one last line and stops replying to that person there. Checks whether each comment is genuinely public or only visible to your own account, can scan any time window (last hour / day / 3 days / all) and lists the ones others cannot see, warning you on the overview when replies got folded. Six-tab settings panel where every change takes effect immediately with no restart, a manual run that queues behind the background listener instead of being refused, and an environment self-check that tells you exactly what to install. Requires Python 3 for the Bilibili actions; the built-in check lists any missing packages.

Drive local Origin/OriginPro from chat via 27 MCP tools: import .dat/.csv/.txt and CHI workstation .bin files, plot, style, fit, and deliver PNG/TIF/SVG/PDF plus an editable .opju project, with read-back verification on plots, styles and exports. Requires Windows, Origin/OriginPro 2021+ and Python 3.10+, plus `pip install originpro numpy` into the interpreter dsh launches: without the package every tool answers `missing_originpro`, and without an interpreter on PATH no tools register at all.

Adds a versioned DPIA workbench to DeepSeek Harness for source-linked facts, follow-up answers, reassessment, and reviewable reports. Needs Python 3.9+ with `python-docx`, `pypdf`, and (for PDF templates) `reportlab` + `pdftoppm`.

Coding-learn floating panel: edits and runs Python/JavaScript/TypeScript/PowerShell with exit code and timing, grades JSON course lessons with progress export, keeps Markdown notes and snippet library, and sends code plus a question into the current conversation for the main model to answer.

Adobe Lightroom Classic as native dsh tools through the lightroom-py MCP server: read the catalog, apply develop settings and presets, export JPEG/TIFF/PSD/DNG, and write ratings, labels, keywords and IPTC — 15 tools driving the Lightroom Classic installed on the local machine, no cloud round-trip; the Python package is on PyPI and the Lightroom plugin installs with one command.

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

RLM mode for dsh: recursive sub-agents via a unified rlm() function — spawn, await, and chain child agents as first-class Python calls. Adds a persistent IPython kernel with tools.* bindings and context-as-variable.

Self-hosted crypto portfolio dashboard: BTC, EVM (73 chains via DeBank), Solana, Dogecoin, Cardano, Hyperliquid L1, five exchanges (Binance, Bybit, Backpack, OKX, Bitget) and tokenised equities in one view, with multi-provider failover, custom asset labels, a tunable asset-health report, a shareable PNG card, per-source connection tests, multi-profile configs, scheduled refresh and zero-dependency charts (Python stdlib + vanilla JS, no CDN).

Nightly self-improvement for your DeepSeek Harness agent: harvest past sessions offline, replay recurring tasks on your own API budget, and consolidate validated skills behind a held-out gate. Brings microsoft/SkillOpt's SkillOpt-Sleep engine to dsh as native tools plus a bundled skill - no weight training. Requires Python 3.10+ and the SkillOpt-Sleep engine (pip install skillopt).

Merged plugin: wallpaper customization (original-resolution uploads, crop editor, per-area opacity, MP4/WebM dynamic wallpapers) + Steam Workshop wallpaper extraction (parses scene.pkg/.tex via a bundled Python script, preview/download) + DeepSeek balance & usage widget + OpenCode Go plan usage (rolling/weekly/monthly percents in a top header pill; expand for progress bars & reset countdowns). API keys are read from DSH's credential store by the host — never stored in source or the browser.

PR evaluation and improvement consultant: assesses PR success probability based on historical anti-patterns and success patterns, with one-click scoring and actionable suggestions.

Loopback-first multi-agent message relay: HMAC-authenticated broker plus dsh plugin (relay_send/recv/peers/history), zero-dependency CLI and Python clients, wire protocol v1.0.

Side web-preview panel: local static hosting, Markdown/code/image preview, one-click run of non-static projects (Cargo/npm/Go/Python) with live logs, drag files into the chat (saved to the workspace), element mark & annotate, workspace file search on 404, and link-click takeover into the side panel.

Search Nyaa anime releases with quality and Chinese subtitle checks, manage scheduled tracking and qBittorrent delivery, and browse Bangumi lists with manual progress sync (dsh-find-anime). Needs Python 3.11 or newer on PATH.

Turns one journal paper PDF into three deliverables by default — a Chinese group-meeting literature report deck (.pptx) in the Nanyang Normal University physics template, a matching Word speaker script, and a two-colour defence-prediction Q&A HTML (ten-odd questions with short direct answers). Requires Python 3 with python-pptx, python-docx, Pillow and pymupdf (pypdf fallback); install them with pip install -r requirements.txt.