Plugins

Resolve a shared URL into title, author, body text, cover and direct video links: Bilibili, Douyin, Xiaoheihe and GitHub are parsed structurally, while WeChat, Zhihu and other pages fall back to an OpenGraph summary (title, description, cover). Includes an optional download step for sending the media back through chat.

GitHub Trending radar inside the Harness Web UI: fetches the daily, weekly or monthly board (optionally filtered by a language), analyzes each repository into description, star gain, tech stack, highlights and risks, renders the result as a filterable card panel with paging, and registers the github_trending tool plus the /github-trending command.

Answers Dark Souls III questions from your own Windows PC save (default `%APPDATA%\DarkSoulsIII\*\DS30000.sl2`): level and stats, current area, bonfires/rings/spells/covenants counted by family, kill state for the 24 bosses, and Steam achievements when Steam is installed - exposed as model tools plus a progress pill beside the composer and a 19-area sidebar page with next-step suggestions. The save stays read-only and is parsed locally by a bundled Python 3 script; Python 3 and the `cryptography` package must be installed, and the game data ships with the plugin.

Turn a script into a narrated explainer video: text-card slides by default (fast and exact for tutorials) or AI-generated footage per segment (needs AGNES_API_KEY); 14 online neural Chinese voices plus 3 offline Windows voices, with a one-command sample pack for picking a voice by ear. Requires ffmpeg, and the bundled video-remix skill copied to <workspace>/.dsh/skills/video-remix with npm install run there for the online voices.

A DSH plugin that queries the account balance and opens the top-up page through commands.

Agent enhancements for DeepSeek Harness Desktop: prompt history, one-click optimize with undo, next-prompt prediction, conversation and tracked-file restore, model bill, context details with compact, Auto routing, and per-provider DeepSeek balance.

Native DSH /side conversation tabs with a clean transcript and inherited context, hidden from the main session list using independent Session forks and the official chat UI, with timestamps, token usage, streaming and the command menu. Extracted from dsh-better-sidebar 0.29.0 (MIT); do not enable it alongside dsh-better-sidebar's own /side entry — the two command entries conflict, so stop one before using the other. Requires Windows DSH Desktop 0.2.1-rc.5 and dsh-delete-session for confirmed permanent cleanup.

In-chat image viewer for DeepSeek Harness: wheel and trackpad pinch zoom at the pointer, two-finger and drag panning, gallery navigation, downloads named from the image description and timestamp, and opening workspace originals in the system default app.

Opens chat.deepseek.com in the right sidebar pane from one row in the left sidebar, leaves the current conversation untouched, expands to fullscreen on demand, and shares the sidebar browser cookie jar; a bundled script makes the login survive restarts. Desktop (Electron) only; keeping the login across restarts needs the bundled PowerShell patch, which is Windows-only and must be re-applied after every DSH upgrade.

DSH Pixel Team：DeepSeek Harness 的像素洞府多智能体团队协作与交付流水线（AgentTeams 衍生，MIT）。

Diagnoses why a skill is not picked up — truncated description, broken frontmatter, missing resource files — and checks installed plugins for conflicting loader entries. Keeps a per-profile record so every checkup is diffed against the previous one, groups repeated findings into one root cause, produces rewrite worksheets for oversized descriptions, and lists the plugin patches that touch the skill directory configuration.

A 股分红账本 DSH 插件 —— 薄 TypeScript 适配层，业务逻辑全部委托给 dividend_ledger Python 核心

Novel writing assistant panel: bind a local manuscript folder and keep creation parameters in view.

Restart and quit controls for the DSH desktop GUI, in two independently switchable places: a draggable floating button that snaps to a screen edge and collapses into a thin strip, and a power button in the sidebar footer.

Report generator that follows your own style: pick DSH sessions by time window and slice each one to the turns inside it, optionally merge Git commits from several repositories filtered by author, then a new session reads the evidence with read-only collector scripts and writes a daily, weekly or monthly Markdown report matching a pasted sample; finished reports stay in a local library.

Verification gate for DeepSeek Harness: run typecheck/lint/tests after edits, and keep the agent working until they pass.

Wire up Feishu/Lark from a four-step wizard that discovers your chats instead of asking for a 32-character id, creates the app by scan, and runs a nine-item live self-test that names the exact scope to enable when a check fails. It drives a companion MCP server of 25 tools, including ones that move local files into a chat and pull a message's attachments back to disk. The MCP server is a separate install: take dsh-feishu-mcp-<version>.mjs from the dsh-feishu Releases (or npx github:yinsang0910-star/dsh-feishu-mcp); until it is in place the self-test reports MCP as not mounted and no mcp__feishu__* tool exists.

Multi-agent agent team of employee AI subagents for DeepSeek Harness — dsh-company: employee management, CEO bidding, n8n workflow orchestration, drag and drop canvas. DeepSeek Harness plugin with seven built-in roles (project director, product manager, tech lead, engineer, data analyst, QA, reviewer), each with its own persona, model and tool whitelist. Broadcast a mission and the employees bid for it themselves — the first line of their answer must be 【accept】 or 【decline】 — so accepted work runs in parallel instead of down a pipeline. The workflow canvas wires employee nodes with the start node, references each upstream result with {{input}}, and runs the graph in topological layers: parallel across employees, serial per employee, downstream skipped when upstream fails. Ships a web panel for the employee management tab, the mission board and each employee's transcript, the /dsh-company slash command, a live mirror into the built-in agent-team panel, deletable missions, and a private memory directory per employee.

Native discovery and per-agent loading of built-in, plugin and MCP tools, with BM25 and optional Ollama or OpenAI-compatible embeddings.

One MCP tool surface over two Windows desktop-automation backends (dsh-computer-use-win and windows-mcp). Both must be installed first: dsh-computer-use-win as a DSH plugin, windows-mcp via uv tool install windows-mcp --python 3.14, then run the bundled scripts/patch-backend.mjs once (it rewrites the local windows-mcp source; without it screenshot/read_webpage/launch_app fail) and disable the standalone wincu mount. It merges their 44 tools into 29 by dropping 10 duplicates, 4 dangerous ones (PowerShell, Registry, FileSystem, Process) and 1 tool-management entry, and blocks dangerous calls before forwarding through a reversibility-graded guard.

Mounts the REA (Reverse Engineer Anything) MCP server through two gateway tools instead of registering its 200+ tool schemas on every request: rea_list searches the catalog or returns one tool's input schema, and rea_call invokes that tool, each call spawning a short-lived rea mcp process, so the tool definitions sent per step drop from about 780 KB (207 tools as measured in REA 6.5.0) to about 1-2 KB. When no rea entry point is found it installs rea-agents into a plugin-private directory with the pnpm bundled in DSH (dependency build scripts skipped) and links the reverse-engineer-anything and rea-gateway skills into the skills directory without overwriting existing ones.

DSH Session Fork Tree Arrangement: forked sessions sit under their parent with an indent and a rounded connector, sessions that own forks carry a green "+" that collapses by default and expands level by level, and hovering a child highlights its ancestor chain.

Adds a mood system to DeepSeek Harness — 33 named moods judged every 3-6 hours with small per-message adjustments, plus cross-session memory, an aesthetic taste library and an encrypted diary. The mood, memory, taste and diary tools are all callable by the model, and each of the five modules has its own switch. The diary is written only by the model; no summary template is generated. A trimmed fork of JMX-4869/dsh-mood; install either this or upstream dsh-mood, not both, because both register the same mood/diary/taste/memory tool names.

Turns the MiniMax Code (Mavis) subscription already signed in on this machine into a DSH model provider, renewing the OAuth token itself so the desktop client can stay closed, with points, check-in and subscription-quota panels.