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Seal proven command chains into reusable executable tool scripts for DSH agents. DSH 代码脚本固存，留住模型成功自实现的工作流。

Multi-device DSH network: sidebar topology, peer health, delegation, file transfer and node management over TLS, LAN and public tunnels. DSH spawns its mesh server (127.0.0.1:8124) detached at startup and restarts it if it exits, and the server always answers LAN discovery on UDP 0.0.0.0:8129. Once a peer is paired, the default ACL lets it read, search and write files under ~/Code, read session history and logs, and delegate tasks to your DSH sessions; shell_run, channel messages, remote desktop and repair stay off until you allow them. If SakuraFrp is installed it reads that launcher's account token (or SAKURA_TOKEN) to query api.natfrp.com tunnels. Its /api/dsh-mesh routes are guarded only by a loopback peer-address check.

SSH workbench for launching remote agent CLIs with durable sessions, terminal, file editing, Git worktrees and local port forwarding. It drives the local OpenSSH client (macOS/Linux; remote Linux with GNU coreutils, tmux optional) to run commands, edit files and forward ports on any host from ~/.ssh/config, with host-key checking defaulting to accept-new; the last 512K characters of each terminal's output are saved under ~/.dsh/remote-agent/terminals. It uses the same package name and mount id as zbzbhs/dsh-remote-agent, so the two collide if installed together.

Godot game development workbench for DeepSeek Harness. Windows only, preview release: plans a game (GDD, tasks, acceptance checks), changes project files through controlled read/write tools, diagnoses the project and runs it for evidence. Runtime and import checks launch your configured Godot as a normal process with your permissions (the AppContainer sandbox applies only in the restrictedProduction option); the official Godot 4 standard build can be downloaded on request after confirmation (SHA-256 checked), creating a project registers it in Godot's project list, and the selected project context is sent to your configured model.

Synchronizes native DSH instructions, user Skills, and reviewed portable settings across devices through Microsoft OneDrive, with optional cloud encryption and explicit conflict resolution; conversations and credentials are excluded.

Lets the agent drive the Chrome tab you @-mention — 13 tools for tabs, snapshots, clicking, typing, keys, scrolling, dragging and screenshots, with input sent as real CDP events so pages see isTrusted true and a pointer drawn inside the page. Needs the bundled Manifest V3 extension loaded by hand in Chrome (developer mode; it requests the debugger and all-URLs permissions), talks to it over a WebSocket on 127.0.0.1 ports 30795-30805, and saves screenshots under ~/.dsh/chrome-tab-shots; the macOS native input channel also needs Accessibility permission and the Xcode command-line tools.

Lets the agent read the app, title, URL and text of the window in front through the macOS Accessibility API, with opt-in on-device screen memory it can search.

Experience and skill engine with a sidebar console and exp_record / exp_recall / exp_feedback / exp_consolidate / exp_type tools, stored in a local JSON file. Optional Git backup (off until you configure a remote) pushes the library to a remote you choose; GitHub sign-in uses a device code or a token kept in local settings.

Adds a system-prompt section that asks the model to drop stock AI writing habits: subheadings, bold and emoji overload, quoted aphorisms and grand-finale endings.

Session tabs for the DeepSeek Harness Web GUI whose open-session set is shared across every device attached to the same host, with workspace grouping, status dots, and a bottom bar that collapses into a drawer on narrow screens.

Let your agent understand your players. Glitchless for DeepSeek Harness: game observability tools over MCP (ranked findings, frame times, errors, where players quit, each game's own dashboard) and skills that add Glitchless to a game in Unity, Godot, Unre

Phone-first web client for DeepSeek Harness whose /m/ page serves a compact mobile UI instead of proxying the full desktop UI, with approvals staying on the phone when the phone started the turn and Mermaid rendered on the device.

DSH sidebar page for a dsh-mesh network: peer topology, latency, TLS/version health and a delegation list. Resolves the installed dsh-mesh-node package for data.

DSH host-side bridge for a multi-device mesh: exposes local sessions and tools over a token-protected loopback HTTP endpoint so the dsh-mesh server on this machine (separate npm package dsh-mesh-node) can create sessions, prompt them and call tools for paired peers.

Keeps a dsh-mesh server alive across DSH engine restarts by supervising it from inside the host process; resolves the installed dsh-mesh-node package and fails loud when it is missing.

Keep SSH, WSL and Docker projects in the native DSH sidebar. Group directories by environment while choosing full remote DSH or lightweight local Agent mode per project. Manage shared full-backend connections together, keep lightweight connections independent, and selectively sync local Skills with difference previews. Aimed at the Windows desktop client with Linux, WSL or Linux-container remotes that have Python 3 and Bash (macOS and Linux hosts untested); lightweight SSH needs an existing SSHFS mount, and Docker has not yet been run against a live daemon.

Saves per-workspace dev commands behind a header button, starts and stops them as process trees, and exposes four tools so the agent can list, start and stop those saved commands and read their logs (it cannot add or change commands).

Skill and plugin audit console for DeepSeek Harness. It scans local skill folders and installed DSH plugins, checks the packaging rules that commonly break installation, scores each asset, and exports a Markdown fix report.

Local YonBIP/YMS development runtime: resolves project settings, issues platform API tokens, pulls and adapts middleware endpoints, provides internal DB/Redis/service access via a SOCKS forwarder or direct mode, builds and starts the local YMS runtime, and prepares IDE launch/debug configuration. Works without dsh-ris-ide. Needs JDK 21 and Maven on PATH (the first build downloads dependencies).

Standalone rescue for a broken DeepSeek Harness profile: a CLI that runs without DSH diagnoses the crash logs (six classified causes, from real incidents), pre-flights the profile for command-name collisions and files plugins read at construction time, arms a safe mode that loads only official bundles until a healthy boot restores them, and keeps manifest snapshots for rollback. A resident watcher watches the crash-log directories via OS file events — idle costs nothing, and when the loader dies the report is written within seconds, one file overwritten per crash. Windows only: crash logs are read from %APPDATA% and the watcher autostarts from the Windows Startup folder.

Hand off local development tasks between Codex and DeepSeek Harness with original requirements, project agreements, workspace checks, and a relay board. Needs the Codex desktop app (or a codexBinary path in the settings); verified on macOS only.

DevLead mode for DeepSeek Harness: a human-only switch turns one ordinary session into a lead with eight devlead_* tools to register workspaces and create, read, continue and watch other ordinary sessions; it dispatches work to those sessions, reviews the delivery and reports, is woken through a durable notification digest when a watched session's turn settles, and can give a dispatched writing session its own Git worktree when the host provides the experimental worktree service.

Source-backed logic reviews with diagrams, code diffs, and resumable human feedback. The first activation downloads the official LogicMargin release (SHA-256 verified); on macOS and Linux this needs curl, unzip and shasum or sha256sum.

Grabs a live frame from the local webcam and hands it to the agent as an image, so the model can actually look through the camera without opening any app or keeping a window in front. A dim room no longer comes back black — brightness, gamma, contrast, sharpen and an auto-level pass run inside the capture itself. ffmpeg is fetched automatically on first use, and the same plugin lists the available capture devices.