Plugins

Unity 2022.3 editor control for the agent: 20 tools that read the scene hierarchy, create and edit GameObjects, components and serialized properties, drive Play mode, capture screenshots, evaluate C# inside the editor and start player builds.

Per-turn tool-call step budget for Agent Teams teammates, shipped together with the team-dev and team-boot skills.

Runs project check commands itself and records the real exit codes, pins the result to a git or file workspace fingerprint, expires the evidence when the tree changes, and reminds the agent to verify before claiming completion.

Sends one system notification when a DSH turn ends: per-outcome switches for completed, error and interrupted, a minimum-duration threshold, silent subagents and unfocused-window-only delivery. Works on Windows, macOS and Linux, delivered through a connected page or a native fallback (PowerShell toast, osascript, notify-send; the Linux native fallback needs libnotify). Clicking the notification brings DSH back to the front on the page/Electron channel; PowerShell and notify-send notifications are not clickable.

macOS notch panel for DeepSeek Harness: running sessions and pending approvals sit above every window, approvals are decided in place, and clicking a row opens that conversation in the desktop app. Requires macOS 14+ and Xcode Command Line Tools.

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. DSH must remain running to deliver notifications.

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.

Plan-native multi-agent workflow for DeepSeek Harness: plan directs, work coordinates, code writes, and review audits read-only. Ordinary tasks need no authorization card or budget form. Includes 14 chain_* tools for explicitly authorized controlled rounds, with a frozen T0 baseline, layered evidence, and blocking close gates. Provides per-role model settings. Requires the sibling l1-presets bundle. For new installs, Weihao654/dsh-workflow#role-chain provides this runtime and the four presets in a single bundle. Do not enable role-chain alongside either legacy l1-presets or l2-protocol.

Four agent presets for the default plan-native workflow in DeepSeek Harness: plan plans and delegates, work coordinates execution, code owns implementation changes, and review performs independent read-only audits. Each role has a defined tool-permission matrix. Works with the sibling l2-protocol bundle for opt-in controlled rounds. For new installs, Weihao654/dsh-workflow#role-chain provides these four presets and the controlled-round runtime in a single bundle. Do not enable role-chain alongside either legacy l1-presets or l2-protocol.

Sidebar node canvas for DSH where each node is an agent task and each link a dataflow dependency. One deterministic import (no model calls) produces both a task pipeline and a file-level module graph; file nodes carry a coupling score, and every run is snapshotted so it can be undone as a whole.

Agent-team task workbench for DeepSeek Harness: a sidebar board and requirement view track tasks across backlog, execution, review and done, dispatch work to coding agents, and run multi-role team orchestration on a local SQLite store.

Scheduled Agent tasks for DSH 0.2.1-rc.5 with per-task models, workspaces, independent or persistent sessions, run history, and file artifacts.

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. Liveness is observable, not guessed: status returns a relay block (elapsed and lease budget, receipt presence, heartbeat and activity age, a suggested action); abandoning a plausibly-still-working attempt is refused with the judgment data unless --force; a late sealed receipt is revived by adopt after full re-verification instead of rebuilding the ticket; dispatched subagents refresh a progress heartbeat outside the worktree. Requires Python 3.10+ on PATH and a git project that uses OpenSpec.

An Orchestrate tab in dsh-better-sidebar and 14 orch_* tools to spawn, prompt, fork and cancel agent chats, run command, scrape, http and agent tasks on local, ssh or remote runners, show provider status cards, and serve a secret-protected machine API. Requires DSH >= 0.1.1-rc.1, Node >= 22.5, the web profile and dsh-better-sidebar.

Posts a follow-up prompt into opted-in chats that fall silent, and offers a secret-protected HTTP API that posts a message into any chat. Requires Node.js 22.5+.

Adds an ARIS agent preset that loads the 84 ARIS research-workflow skills and runs their reviewer as an in-harness subagent from a different model family than the session model. Other presets are unchanged. A fork of wanshuiyin/Auto-claude-code-research-in-sleep's dsh-aris branch: install it instead of the upstream dsh-aris plugin, not alongside it - both register the mcp__codex__codex reviewer tools and the same ARIS skills.

Adds a system-prompt rule that makes DSH agents look for existing work before they build.

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 screenshot, diff, text, link and file 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.

Publish agent output to Reviso for human review, browse published documents from the sidebar, and find them again from the session that produced them. OAuth is host-mediated: Reviso tokens stay in DSH credentials and the browser only receives short-lived embed sessions. Requires a Reviso account or a compatible self-hosted Reviso server.

Rolling-window batch scheduler for DeepSeek Harness subagents: one subagent_batch call carries a queue of independent subtasks plus a user-owned concurrency window, a settled child's slot is refilled immediately, and the call returns every child's final answer, stop reason and child id as one acceptance report. async mode keeps the pool running in the background for subagent_batch_status, and the window comes from config, DSH_SUBAGENT_BATCH_CONCURRENCY or a hardware recommendation.

Computer Use for every DSH session: screen capture, mouse and keyboard, app launch, plan and skill replay, an audit log, guards for dangerous actions, a background code agent, and an OCR workflow (text and coordinates) for apps whose accessibility tree is empty. Verified on macOS only: Windows has a basic GUI backend that is unverified, Linux has no desktop backend (calls fail with unsupported_platform), and the window/AX/browser/clipboard tools register on macOS only.

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

Deterministic review of synthetic AI-agent claims in DeepSeek Harness, reporting bounded verdicts, reasons, and evidence references.

Manage Oracle, PostgreSQL, MySQL, MariaDB, SQL Server and SQLite connections with driver diagnostics, column defaults/comments, and opt-in metadata browsing for agents; requires a separate Python 3 environment with the per-driver packages (SQLite needs only the standard library).