Plugins

Privacy guard for git workflows: before git commit, git push or gh repo sync it scans the content that would enter git (local paths, user info, API keys, private keys, connection strings) and blocks anything not approved in the DSH approval UI; approved items go into a manageable, masked whitelist. Native DSH Config schema with live settings, first-push full-repository scan, fail-closed checks, zero npm runtime dependencies.

Focus-aware notifications for DeepSeek Harness: approvals, questions, plan reviews and finished replies appear as one alert only when the conversation window loses focus; background conversations alert at any time and subagent sessions never do.

LibTV canvas and media tools for DeepSeek Harness, with three director skills bundled and one-time WeChat QR authorization.

Connects DSH to timestamped video reading, shared queues/history and Scroll personal Bilibili workflows through an existing Video Reader installation. Windows x64 only: install the core and set VIDEO_READER_ROOT before starting DSH; the bundle does not install Python, FFmpeg, models or Bilibili credentials.

Localizes the prompts DeepSeek Harness sends to the model — system prompt sections, runtime context, tool descriptions and parameter docs — into Simplified Chinese. Its Cordis API dictionary is derived from zjl1989-li/dsh-harness-zh-cn (MIT), which translates the same prompt layers at runtime; do not enable both at once.

Lists every session stored in the local DSH profile with its title, workspace, last-modified time and size, then moves the selected ones to a 90-day trash you can restore or purge; deletion detaches the live session first, so the sidebar updates without restarting the app.

Shows where every session's tokens go: lifetime totals, cache hit rate, peak/off-peak cost, a calendar heatmap, a trend chart, per-model and per-workspace breakdowns, and a session tree revealing subagent sessions, with CSV/JSON export. Also ships context clear/compact actions and a prompt optimization button.

Volcengine Ark Coding Plan usage widget for DeepSeek Harness — a draggable whale in the corner opens a bubble card with the 5-hour, weekly and monthly request quota, plus a local token-to-CNY summary for today, the last 7 days, this month and all time. Requires the Volcengine Ark CLI to be installed and logged in (npm i -g @volcengine/ark-cli; arkcli auth login).

Adds a decode-speed reading to each reply action row, right of the usage control: open it for the turn time breakdown, first-token latency, decode output, prefill, speed ranges and total usage. A setting can keep every message action row visible.

Floating DeepSeek API time-of-day pricing window with Chinese legal-holiday awareness, account balance and estimated project spend; includes a green/orange 24-hour timeline and collapsible model, billing-rule and holiday sections.

Read-only /btw side questions for DeepSeek Harness: forks the current session, injects the running turn's task, recent tool calls and partial answer so a mid-turn question has context, denies every tool call at execution time, and keeps a per-session topic history with follow-up, stop, retry and delete.

Windows x64 preview that detaches workspace/session navigation into a separate .NET Framework 4.6.2+/WebView2 Evergreen window, with grouped trees, overview/focused modes, logical drag-and-drop, activity/manual ordering and a resizable focused-view preview; no DSH Core patch and no Better Workspace runtime dependency. Derived from KannaKuron/dsh-better-workspace — do not install both.

DailyBoard — a daily work task board for the DSH Web GUI with a one-month calendar of colored timeline bars and day tasks, a daily checklist, a seven-day week view with completion checkboxes and drag-to-reschedule, a draggable 24-hour day timeline, ordered per-day subtasks, weekly and every-N-days recurring tasks with per-occurrence result records, a long-term progress view opened from the calendar header, per-day completion for long-term tasks, tasks that can be marked “For others” by choosing one of the added recipients (shown as note + email), a collapsible daily email reminder that can be pushed to WeChat and can remind other people such as partners or relatives (each extra recipient has an email, a note and its own send time), and AI extraction of tasks from natural language.

Game market and runtime for DSH. While the agent runs a long task, a game fills the main workspace and a small whale in the corner shows the agent state (working, waiting for you, done, error); progress is saved and continues next time. Ships five built-in games, a game SDK and CLI, and a community catalog installable from the market.

System guard for DeepSeek Harness (Windows-first, protected actions via UAC/sudo): classifies core system files and runtime junk, keeps a hidden SHA-256 backup of core files on the largest free disk, patrols integrity and restores damaged files, and asks for administrator rights only to protect the system. On macOS/Linux it only classifies and hashes (no junk deletion; repair prints manual steps), and that path has not been tested on real hardware.

Task alerts for DSH: a system toast when a turn finishes, or when an approval, question or plan review is waiting; a chime rendered on the Windows communications endpoint so the system ducks other media by its own setting and restores it afterwards, without anyone's volume being written; and an optional copy mailed to your phone over SMTP (465 implicit TLS, or STARTTLS where credentials go out only after the upgrade). No runtime dependency: the sound helper is a PowerShell script, the mail client is plain Node.

Sends Windows system notifications when DSH session turns end, with session titles, elapsed time when observed, optional foreground suppression and subagent filtering. Click a notification to focus the DSH window.

Turns a stated rule into a checkable intake card and writes it into the right AGENTS.md, and keeps project plans, a rule ledger, project records, handoffs, a change log and a timeline.

Runs an approved OpenSpec change to completion while the model stays a mechanical forwarder: a bundled Python CLI computes the ticket DAG frontier, claims tasks atomically, prepares one git worktree per assignment, and returns exact actions. The session delegates each action with the DSH subagent tool and reconciles the completion notice against a hash-bound receipt produced by re-running verification commands on a clean, advanced HEAD, so free-text "done" never counts. Runtime scope changes are plain tasks.md edits. Requires Python 3.10+ on PATH and a git project that uses OpenSpec.

One leader, many sessions: tell the leader the goal and it splits the work into cards, runs persistent worker sessions in the background, collects their reports, and keeps the facts on a per-project board in the right sidebar, so several features move in parallel instead of one at a time. Project-level LEADER.md and SLOTS.md prompts shape every request, and `read_worker_session` replays a worker transcript read-only without waking it.

Skill shell that installs, runs and troubleshoots React-Monitor-Agent, a human-agent operation board built on review replay and checkpoints: the agent writes its work as a structured replay timeline of screen-recording, screenshot, diff and text nodes, and the human decides at plan, progress, risk and delivery checkpoints, with verdicts branching the timeline and rejected branches kept greyed-out for audit. The skill guides cloning the source repo and starting a zero-dependency Node event service on 127.0.0.1:8790 plus a React board on localhost:5173 that ships an offline FIXTURE demo mode. The bundle embeds the skill only; product source stays in the repo.

Picks PTC or native tool presentation per task and switches it at runtime for the model or the user.

Views, creates and edits AGENTS.md and other AI rule files from the DSH settings page: the project directory chain from project root to cwd, both DSH global roots (~/.dsh and ~/.agents), and user-level rule files of 25 third-party AI tools. Markdown preview is rendered with .mdc frontmatter stripped, edits save in place with conflict detection, files whose content is identical across tools are flagged, and tools outside the built-in list are discovered heuristically. Zero runtime dependencies.

A durable RAG-enhanced long-term memory layer for LLM agents, featuring holographic memory, state-slot conflict detection, and timeline retrieval. Requires Python 3.10+ and this repository's Python dependencies: create a venv and run pip install -e ".\[dev]" in the checkout before enabling the plugin (the bundled installer is a PowerShell script, i.e. Windows).