Plugins

Composer-side prompt library: a button next to the input opens a picker with group chips and word-split AND search over saved snippets, inserting one into the draft or appending it, filling {{variables}} before insertion, with 13 built-in templates. Snippets live in one local JSON file behind a rev lock, a per-save backup, and whole-library JSON import/export; a settings page handles editing, grouping, pinning and a 6-second delete undo.

Installs and verifies the reverse-engineering engines REA needs on Windows (Ghidra, JADX, apktool, adb, WABT, frida and more), pins the rea-agents MCP server version, and reports capability gaps in a settings card.

Disk Janitor for DeepSeek Harness — reports where DSH disk usage goes and reclaims only what is safe to rebuild, always keeping the resources currently in use.

Registers a wrapper provider that gives delegated subagents their own LLM route — one-off spawns through provider.start, Agent Teams members through a hook on startActivation — while the main agent keeps its model. Ships a Settings section for picking that route, a per-expert override file, a capability flag reporting which seams the hook caught, and a readiness record written at mount.

Reads EPUB, MOBI, AZW3, TXT and PDF books in a side panel with pagination, table-of-contents jumping, highlights, notes, bookmarks, full-text search, anchored AI questions, per-chapter distillation, Legado-compatible book-source search that adds online books chapter by chapter, and a bundled reading-coach skill. PDF support is text-based only; scanned or encrypted PDFs are rejected.

Configures forward proxies per enabled provider in Settings (HTTP/HTTPS/SOCKS5), keeping unconfigured providers and other traffic direct.

Visual reference moodboard for DeepSeek Harness: drag-and-drop images with tags and notes, and pinned style guides the agent reads before it generates or restyles UI.

DeepSeek Harness plugin that loads the rule files other coding agents use (Cursor .mdc rules, Copilot instructions, Windsurf, Cline, Kiro, Roo, GEMINI.md) with their glob scoping: always-on rules up front, glob rules when matching files are touched, the r

A timer wakes a DSH session to read the GitHub repos and topics you follow, decide which changes are worth your time, and write a dated report while keeping a table of what it already saw. A sidebar panel keeps the run history and the GitHub trending list. Read-only.

Local-first memory and persona plugin for DeepSeek Harness: four file-backed memory layers (pinned, memory, facts, experience), editable SOUL/MOOD persona, zero-LLM session capture, BM25 recall and a themed mood card; no standalone web panel, Python service, vector database, or API key.

Eager, tail-heavy, line-aware tool result trimmer plugin: hooks into post-execution pipeline to trim oversized command outputs with smart semantic reducers and ANSI stripping.

Keeps the shared default model pinned, so switching the model inside a chat no longer rewrites the global default and no longer lowers that default's reasoning effort.

Drop-in successor to the now-deleted corrinehu/dsh-workbuddy-connect, keeping its package name, config row id and provider ids so an existing install upgrades in place. Also fixes the 400/11128 channel check by neutralising the DSH identity sentences and scrubbing the product name from system messages, and reads the real Windows client and bundled CLI versions instead of a compiled constant, unlike the functy and community forks. Verified 2026-10-21 on Windows, WorkBuddy 5.8.3, DSH 0.2.1-rc.2.

Adds a muted looping video behind the Harness workspace and makes the composer translucent after the boot splash finishes.

Provides an always-on-top window feature for the DSH window, preventing it from being hidden unexpectedly, Windows only; requires PowerShell 7 (pwsh.exe) on PATH.

Predicts your next message after each turn and shows it as gray ghost text in the composer: Tab takes the whole line, Alt+Right takes one word at a time, Enter takes it and sends, Esc dismisses, and Alt+R asks the model again without repeating the old one. Typing a few characters completes from prompts already sent in the session, Up in an empty composer recalls the last one, and a plugin-page form sets the provider, model, reasoning effort, per-key toggles and generation limits.

Icon, Chinese display name and a one-line note for every DSH plugin, organized with folders, favorites, drag or pinyin ordering, list and grid views. Icons are auto-assigned to all installed plugins and can be overridden; import and export cover icons, names, notes, folders and order. Display-only: plugin files and cordis config are never modified; enable switches call the official plugin manager.

Mounts external skill directories (Claude Code, Codex, ZCode) into DSH as read-only skill providers: frontmatter field mapping, name slug normalization and hot reload.

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.

Composer prompt enhancement for DeepSeek Harness: a button beside the model selector rewrites the draft through one auxiliary LLM call and writes the result back in place, with composer undo left intact; a /prompt-enhance slash command returns the rewritten prompt as a command result line without touching the draft; the enhancement call can be pinned to its own fast provider and model in the profile patch; the rewrite policy is faithful - original intent, language and information are kept, code, commands and paths are preserved verbatim, and nothing is invented or padded with placeholder text.

Lists recent sessions across every workspace in one panel, with time grouping, two sort orders, content search, reveal-in-file-manager, and local notes that offer to insert themselves into the draft.

Reads and writes a self-hosted Bitwarden/Vaultwarden vault from any session: eleven bitwarden_* tools, real-time WebSocket sync with a polling fallback, a settings panel with readonly, ask and auto write modes, and optional local masking — with masking on, passwords surface as stable placeholders unless revealed one field at a time, and on-disk session logs are swept for bitwarden secrets. Masking and log sweeping are separate switches.

Browser automation for DSH: the agent fills in forms, scrapes lists and works across tabs in real pages, using the logins you already have. It drives its own visible window on your desktop — minimise it and it keeps working without stealing focus — and a sign-in, CAPTCHA or native dialog stops the run and hands the page back to you: it never confirms on your behalf. Login state persists (own profile plus session-cookie re-injection). 23 Playwright tools (20 always on, 3 gated and off by default), with a URL allowlist, dialog suspension and a CDP method allowlist that are mechanism-level and pinned by tests.

Read-only Skill inspector for DeepSeek Harness. It shows which Skills a conversation actually loaded — from observed loading evidence only — and which Skills the current environment can discover, and gives each Skill a detail page whose left column switches between the framework, the evidence, validation, evaluation, step evidence, run logic, the before/after of a modification when there is one, the definition facts and the raw SKILL.md. Declaration and run stay apart: the body is split into structure, declared workflow and progressive disclosure, the run logic is read from local receipts, and every declared step carries its own evidence — no observed evidence is reported as exactly that, not as executed or not executed, and the run's instruction hash sits beside the current definition as match, mismatch or unavailable. The evidence view gives each subject one of three states (declared, observed, unavailable), walks definition → load → use → outcome, names what each stage cannot reach, declines to attribute an outcome to the Skill, and can copy the snapshot out as byte-stable JSON. Validation checks the Agent Skills open standard and the platform profiles separately, each finding on a rule id and labelled standard compliance or platform compatibility. Evaluation keeps repeatable cases with the conditions each run was recorded under and the four stages of runtime evidence, comparing two runs of one case item by item without scoring them. The trigger boundary keeps should-trigger and should-not-trigger prompts, has you run them in a real new session, then records what was observed — whether a load record appeared and whether it was model-invoked or user-explicit; a typed /name is not a natural trigger, and an absent load record is reported as not observed, not as not triggered. The same projections are exposed to the agent as a read-only skill_review tool, which returns a structured review packet and says what it omitted when the packet will not fit whole. The inspector, the evidence chain and these reviews are computed on this machine from the definition and the session receipts; the Chinese reading version sends the body through the host's model when you ask for it, keeping code fences, paths and frontmatter verbatim and storing the result on this machine. A Skill can also be cloned into a local copy. It does not write back to the source Skill and does not run its scripts.