Plugins

A headless-first macOS Computer Use driver for DeepSeek Harness with AX-first observations, window-bound multimodal evidence, host-owned approval, and evidence-backed action receipts

Sidebar row with today's tokens and estimated spend for DeepSeek Harness; the dialog adds 24h, 7-day, 30-day, 12-month and per-year charts, a contributions heatmap, per-request peak/off-peak pricing from the official DeepSeek price list and the Chinese statutory holiday calendar, and optional WebDAV sync that merges usage across machines.

Scene-awareness probe for DSH on macOS: a privacy-first, pull-model `look` tool that reads the frontmost non-self window (app info, AX title/selection, gated local OCR), plus a summon-hotkey snapshot captured the instant you press.

Personal-experience memory for DSH: turns solved tasks into sourced problem cases with condition-scoped claims, recalls them into new tasks via hidden pre-step injection, and makes corrections/deletes cascade to future recall.

Brings the Codex (ChatGPT Plus/Pro) subscription already signed in on this machine into DSH. It (1) shows the 5-hour and weekly windows with their reset times and the remaining reset credits in a sidebar panel, with one-click reset that consumes a credit; (2) registers the subscription route in llm-pi-ai (openai-codex) when the quota is read, so the Codex models appear in the model picker; (3) refreshes the OAuth access token before expiry and writes it back atomically, so no key has to be replaced by hand; and (4) adds a codex tool that delegates a task to the local Codex agent. No API key has to be entered.

Motor-design AI assistant plugin: requirement parsing → parameter identification → candidate matrix → Top10 verification. L0 is a millisecond-level broad filter (pure JS, zero solver dependency) that ranks candidates and emits the handoff payload for the L1/L2 precision tools; usable as a local agent preset and Cordis plugin. L1 (RMxprt) and L2 (Motor-CAD) are reserved in this version — the level gate fails fast above l0.

Sync your DeepSeek Harness (DSH) configuration between machines over a private git or WebDAV channel: settings, plugins, MCP servers, skills, agent presets, workspaces and provider credentials. DSH 配置远程同步插件（私有通道，明文自用）。

Zero-intervention permission gate for DeepSeek Harness (DSH) agents on macOS — active on install. Writes that can be undone via a local git baseline or macOS Time Machine are auto-approved and automatically snapshotted; network access, package installs, process/system management, and reads of sensitive credential paths are blocked; every decision is audited — the audit log keeps everything by default, with optional automatic cleanup of the oldest records.

Restores Cmd+, to open the existing Settings dialog in DeepSeek Harness on macOS.

Always-on-top lamp board for macOS: one lamp per agent, one row per session, collapsing to one lamp per running task; a lamp turns blue and blinks while an approval or a question is waiting on you, and the root agent finishing raises a system notification.

Native DSH right-sidebar tab that lists the ports this machine is listening on together with the process behind each one, and offers per-port actions to open it, copy its address, reveal its working directory or end the process.

Agent screen capture on macOS and Windows: one tool captures the screen and returns the image itself, so the model sees it without a second call. On Windows a whole burst runs in one engine call; on macOS a resident helper drops a region capture to 13ms and a change check to 23ms. A second tool, macOS only, reports whether Screen Recording is granted and opens the settings pane that fixes it.

Computer Use for macOS desktop applications: reads any app's accessibility tree as text with element indices, then clicks, types, pastes, scrolls, drags, selects text and sets values through it, plus screenshots read back as images. Driven by a persistent JavaScript REPL — the agent gets two tools (`js`, `js_reset`) and calls an `sky` API inside them, so state survives between calls and the tool schema stays fixed as capabilities grow. Accessibility trees come back as diffs after the first read; actions address elements by index and indices from a stale read are refused rather than misapplied; typing waits for keyboard focus and reads the field back; paste restores the clipboard. Requires macOS 14.4+, Accessibility permission (Screen Recording only for screenshots) and Node 20+; ships a prebuilt native module, so nothing compiles at install time.

DeepSeek Harness skill: build, rebuild and refresh a course module's revision atlas — a mind map whose leaves are paged notebooks, extracted faithfully from the module's markdown with machine-checked coverage and a human-gated plan.

Local plugin installer in the DSH web Settings: a file picker for .tgz plugin packages (multi-select) or a full machine path, installing them into the auto-detected profile via the official `dsh plugin add` with live CLI output — no terminal needed.

开口即成文 · Speak-to-prompt for DeepSeek Harness：云端 ASR 语音识别 + 提示词优化 + 填入草稿/自动发送，跨平台 macOS / Windows。

Report stage — academic paper writing for asset pricing and machine learning research. Ships one skill.

Data stage — data discovery and quality assessment for asset pricing and machine learning research. Ships one skill.

Literature review stage — search, synthesis, and citation-chain tracking for asset pricing and machine learning research. Ships one skill.

Model training stage — end-to-end analysis, model training, and estimation for asset pricing and machine learning research. Ships one skill.

PPT stage — presentation generation (Beamer/Quarto) from the paper for asset pricing and machine learning research. Ships one skill.

dsh-TUI /term: open a system terminal in a workspace folder — blank opens the working-directory root, a fragment fuzzy-matches folders (unlimited candidates, managed picker), with ordered per-platform launcher chains for Windows / macOS / Linux (incl. WSL

System-audio driven UI visualizer for DeepSeek Harness: a draggable 48-band spectrum chip plus a frame-wide bass glow (memory-only FFT).

Cross-platform desktop pet for DeepSeek Harness — a transparent, always-on-top whale that swims on your desktop and reflects agent state. Ships native Tauri binaries for Windows, macOS and Linux.