Plugins

Automatic approval and review for tool calls that need approval: keyword buckets match red lines without context, then a judge model classifies what was requested and sends it to allow, reject or a human according to the matching row and risk level; a judgment that never ran always goes to a human, and rejections tell the model why.

dsh-lint-loop v0.7.0 adds bounded, read-only evidence checks for observable shell/bash/pwsh and file-tool changes; uncertain evidence remains incomplete. [Release](https://github.com/lemonxiny55/dsh-lint-loop/releases/tag/v0.7.0).

Session progress tracking for DeepSeek Harness, without digging through the logs: the agent keeps a live nested checklist of the work — from a whole phase down to a single step — and every item carries a weight, so the ring and the % pill in the composer dock row always match reality. Hover it for the current activity, or open the Session Progress tab in the native right sidebar for the goal, the weighted checklist with per-item shares, the next steps and the working notes; when the session ends, the same checklist stands as a clean record of what got done.

Visualize the plugin and model call flow as a 3D office with six fixed workstations, thought bubbles and a delivery sheet.

Orchestrates durable multi-agent teams from one DSH session: a captain spawns member subagents, drives a dependency-aware task DAG with quality gates, and coordinates through persistent mailboxes, with a live activity panel.

Unit conversion toolbox covering 20 categories — length, mass, temperature, area, volume (incl. US cooking units), speed, time, data sizes (decimal MB vs binary MiB), data transfer rates (Mbps vs MB/s), acceleration incl. g-force, illumination (lux / foot-candle), pressure, energy, angle, frequency, power incl. three horsepower definitions, force, torque, typography (px/pt/em/rem), and fuel economy (mpg ↔ L/100km). Two tools — convert_unit and list_units — zero runtime dependencies, pure arithmetic; each result includes the formula applied.

Connects DeepSeek Harness to a local SiYuan (思源笔记) desktop app: registers its note tools as mcp__siyuan__<tool>, exposes the AI configured in SiYuan together with its agent loop as one more tool, ships a notes skill, and enforces a readonly/authoring/full profile on every call while keeping the tool list available when the app is closed.

LLM provider adapter that routes model calls through any ACP (Agent Client Protocol) server — Claude Code, Codex, Gemini CLI, Devin and more — with a registry browser, per-server settings UI, lazy authentication, and dynamic model discovery.

Replaces the native DSH reasoning-level option list in place with a draggable Off, Low, High, and Max slider while preserving the official model-selection flow.

Cherry Studio-style paste: multi-line/indented/fenced text or code pasted into the DSH Web composer collapses into a bordered, collapsible, language-tagged card and is restored as a fenced code block on send.

Select text in the dsh web conversation to attach it as an annotation to your next message. The source text keeps a dashed highlight with an ordinal badge in place, and the composer summary lists, edits and jumps back to each annotation.

Bridges a local MATLAB MCP server into DSH: evaluate MATLAB code, run .m scripts and tests, and inspect installed toolboxes via mcp__matlab__* tools. Requires MATLAB and the MathWorks MATLAB MCP Server binary, and a path edit after install — the plugin on its own registers no tools.

After official llm-retry (n/5) gives up, keep retrying transient API failures (timeout, transport, rate-limit, 5xx, dropped SSE) on the same open step until success, cancel, or pause; AUTH, QUOTA, and user Stop are never retried.

Resumes an agent turn that ended after narrating its next action without calling a tool: the guard replays the turn log on agent/turn-stopping, asks a judge model one true/false question, and steers the same turn to run one more step.

Per-model system prompt injector for DeepSeek Harness: append custom prompt text to the END of the system prompt for locally configured models, matched by exact provider/model route or a provider-wide provider/* rule (both stack in order). A Settings page lists every configured provider and its models for per-route editing with instant effect, and rules persist to DSH_HOME so they survive restarts. Applies to main sessions, subagents, and workflow children alike.

Expert manager: manage ntd-format experts and expert teams (plugin.json + Agent MD + skill sets), browse and install from a built-in market of 50+ experts, and run tasks in an expert persona via /expert-<name> without consuming model directory tokens.

Tender search and bid intelligence in DeepSeek Harness with proposed project search, rule screening, human review and Excel/PDF exports using user-authorized Qichacha MCP.

Goal mode and autonomous execution plugin for DeepSeek Harness: a sticky top banner keeps the current goal visible across turns while the agent works toward it autonomously.

Adobe Lightroom Classic as native dsh tools through the lightroom-py MCP server: read the catalog, apply develop settings and presets, export JPEG/TIFF/PSD/DNG, and write ratings, labels, keywords and IPTC — 15 tools driving the Lightroom Classic installed on the local machine, no cloud round-trip; the Python package is on PyPI and the Lightroom plugin installs with one command.

A fully customizable theming framework for DSH UI, with Xiao from Genshin Impact as the default theme.

One-click desktop launcher for DSH Web: creates a Windows .lnk with a WPF-style startup popup (progress + timeout), then opens the authenticated browser; plus a floating shutdown button that exits dsh gracefully via ctx.appExit.

Interactive chat table of contents with bookmarks, turn pinning, global shortcuts, and heading extraction.

Xianxia desktop pets linked to live agent sessions: MC pixel-style companions appear when subagents spawn (up to 3 on screen), with storage-bag collection, a right-click artifact menu, a pet gallery picker, and export to the Codex desktop-pet format.