Плагины

Left-sidebar code review panel for DeepSeek Harness. Reviews local diffs, commits, or GitHub pull requests with the configured model using the Codex review rubric and P0-P3 findings. GitHub PR review requires a logged-in `gh` CLI.

Personal todo list as a right-Sidebar tab: categories, groups, five states, backup and export, stored per session.

Task list panel docked to the left of the conversation column: five states, parent/child folding, abandoned and completed docks, shared with the agent through task_list / task_write.

File-based task pool and dispatcher for DeepSeek Harness: keeps a P0-P3 backlog as Markdown, hands one task at a time to a background subagent, gates delivery by rerunning the project test command, and accepts the result against a git commit or a file snapshot; git and non-git directories both work.

Control tower tools: dispatch a task to a role agent, read its report, verify and accept or send it back. Requires the separate agent-control-tower Python CLI (tower; it is not on PyPI — install it with pip install -e from the same repo) on the DSH process's PATH plus a tower init-ed workspace; without it every tool call fails with ENOENT.

Injects the non-obvious operating rules of Agent Teams into the Lead session through one ordered system-prompt section: plan the roster before spawning, roster slots are never released, write scopes are advisory, and wait_agent short-circuits when no peer is running.

Editable PowerPoint authoring workflow (a DSH-skill adaptation of icip-cas/PPTAgent) with concise Chinese business styling, HTML slide rendering and PPTX export review. Linux/WSL or macOS (Apple Silicon only); install LibreOffice, Chinese fonts, Node.js 22+ and uv first, then run the one-time setup, which creates a uv-managed Python 3.12 environment and installs Playwright Chromium.

Registers bundled full-stack, frontend-design and browser-automation skill documents as four read-only tools; a focus argument selects which reference file is returned alongside the skill body.

Agent application development evaluation skill (skill bundle) for DeepSeek Harness: offline/online suites judged from audit side effects, baseline diff with zero tolerance for safety regressions, and mutation tests proving the evaluators themselves catch regressions. Framework-agnostic - needs a callable chat endpoint and queryable tool-call records. DSH host compatibility is deliberately undeclared.

Plays MP4, M4V and MOV videos in the DSH right sidebar using the native video player, replacing the "this file type cannot be previewed" placeholder.

Computer-aided translation, inside DeepSeek Harness.

Talk to DeepSeek Harness through Siri and iPhone Shortcuts: a bearer-key POST /siri endpoint on your computer answers each spoken request for Siri to read aloud, with a settings page (key, port, workspace, model, Agent Preset, rate limit, allowed addresses), optional DS Bot routing, and a ready-made Shortcut.

Provider-agnostic text-to-speech for DeepSeek Harness: synthesize speech to local audio files, manage preset, cloned and designed voices, configure providers in a bilingual settings card, and read assistant replies aloud with optional auto-read.

Video study toolkit for DeepSeek Harness: fetch a public Bilibili single part or YouTube video, sample every 3 seconds plus change-triggered frames, transcribe locally with faster-whisper, page through section grids, and render a 16:9 study deck. Windows only, and needs the DSH pwsh tool plus Python 3.12 x64 with Pillow and FFmpeg/FFprobe; fetching adds yt-dlp, transcription needs faster-whisper with your own local model files, and deck output needs python-pptx.

Windows-only sidebar panel that watches the CPU and IO of your AI desktop apps' process trees and shuts the machine down once all of them have been idle for a configurable time, with a cancellable countdown, a dry-run mode and an activity log; requires Python 3.10+.

Windows desktop control for DeepSeek Harness: accessibility-tree snapshots, click by control name, delivery verdicts, and repeatable task files.

Resumable multi-connection downloader with China mirror and proxy presets, plus DeepSeek-assisted resource discovery.

DSH plugin: three MCP tool servers for DingTalk (via the dws CLI), Feishu (via lark-cli) and Feishu Project (via the official @lark-project/mcp), reusing the accounts dws and lark-cli are already logged in with, plus a Feishu Project MCP user token you paste in the panel; once the three connectors are connected, the default set is 140 tools (47 DingTalk, 45 Feishu, 48 Feishu Project) under the mcp__dingtalk__ / mcp__feishu__ / mcp__meego__ prefixes. A sidebar panel adds a connector wall with one-click connect (installs the CLI and walks through device-code login, or takes the Feishu Project token), custom MCP connections pasted as mcpServers JSON, enable/disable per connection, the write-tool switch, and a searchable catalog of the 1098 dws and 246 lark-cli commands.

One-person-company operations SOP for DeepSeek Harness: 8-field company profile, a daily cycle from morning brief through two execution shifts to an evening report, ledger and cash-snapshot conventions, quote/contract shapes, and six red lines with a human-approval outbox.

Workout logging plugin: a fitness_log agent tool (log, history, stats, weekly plans) storing data in local SQLite; the repo also ships a separate optional left-rail panel bundle under ui/.

macOS Computer Use for DeepSeek Harness: the agent reads accessibility trees, captures screenshots and drives real desktop apps, mounted on the 0.2.1-rc.5 line with a separately built native helper. macOS only.

Adds three tools that hand DeepSeek Harness downloads to the Rayburst aria2 engine — rayburst_download, rayburst_wait and rayburst_status. Requires the Rayburst desktop app (aria2-next) installed and running on the same machine; the plugin reads its aria2.conf for the RPC port and secret.

Local-first resume warehouse for DeepSeek Harness: package your work into reusable bullets, import an existing resume into a template, analyse a job description (including the school-tier preference it implies), assemble a tailored Chinese or English resume and export a PDF named position-name-school. The whole app ships inside the npm package — server/, web/, skills/, scripts/, requirements.txt, no git clone needed — and one tool starts, stops and health-checks it; the first start installs the dependencies into app/.venv. Needs Python 3.10+ and macOS or Linux (bash). Nothing leaves the machine except the LLM calls you confirm.

Local media toolbox for DeepSeek Harness: converts files between 27 video, audio and image formats, trims clips, extracts audio or video tracks without re-encoding, exports embedded subtitles to .srt, compresses images with a before/after preview, reads and rewrites metadata, and encodes or decodes Base64 — all through the ffmpeg already installed on the machine, so files never leave it. The same engine is registered as a media_toolbox tool agents can call.