Plugin

Adds a right-click menu to selected text in the Harness Web UI that replaces it with a Simplified Chinese translation in place, and restores the original on a second right-click.

Turns an uploaded picture into a floating desk pet by cutting out its background in the page, with idle animation and a live account-balance bubble.

Skills and MCP management console in the settings panel: merged skill catalog across every provider (hierarchical browse by source, online create/edit, independent model and user invocation switches, recoverable trash), GitHub install with multi-select batch install and update checks, MCP server add/edit/remove and enable/disable through the profile patch layer, cross-agent import from Claude Code, Cursor, Codex, Cline, Roo Code, Continue and Windsurf, and an independent SDK connection probe.

Adds separate Chat and Work modes to DeepSeek Harness, embeds DeepSeek's official chat page, and provides an animated desktop companion with quick chat and task-completion notifications.

Go (weiqi) for the DeepSeek Harness: a full rules engine, a three-level built-in AI, a dead-stone estimator, optional LLM review, SGF import/export, and an optional KataGo GTP bridge.

DSH pet plugin that adds an Arknights operator library and custom image pets: pick one of 486 operators and the plugin downloads that operator Codex v2 atlas from the pinned upstream revision, verifies every Git blob hash and installs it locally, or import your own Codex atlas (1536x1872 or 1536x2288) or a plain PNG/WebP/GIF; the pet then follows session activity, shows a bubble while a decision is pending, and can be dragged and resized.

A desk pet that floats over the DSH interface and opens into a daily check-in, focus timer and habit journal.

Publishes whichever model the profile has selected in chat or on the Models page as an OpenAI-compatible HTTP endpoint: /v1/models, /v1/chat/completions (streaming SSE and non-streaming), /health. A request may name any routable model; one that omits `model` gets the current chat selection, so switching model in chat switches the endpoint. Switched on, it can also lend the model the Harness tools switched on individually, run those calls through the Harness tool runtime and feed results back up to a round limit. The listener is the plugin's own, so 127.0.0.1, 0.0.0.0 and a NAT-forwarded port all behave the same with no change to the request path. Settings cover bind address, port, API key with a generator, fallback provider and model, reasoning effort, CORS origin and timeout.

Conflict diagnosis and repair for DeepSeek Harness plugins. Builds a capability graph of the running Loader profile and of the on-disk cordis.patch.yml layers, comparing imports, peer ranges and config against the host that is ACTUALLY running rather than the profile's possibly-stale copies, and reports the conflicts that fail silently: a fiber stuck PENDING on a service no plugin provides, a browser half injecting a client module nothing provides, a tool id two plugins both register, duplicate Loader entry ids, a row disabled by one layer and re-inserted by another, an import of a host subpath the running host does not export, and a cycle among inject declarations. Every finding carries its evidence, a confidence grade for who owns a name, and a repair with a risk grade — verify it with a dry-run difference table, or take the individual .patch.yml files that --fix-out writes (never auto-loaded, so picking wrong breaks nothing).

Runs the local Cursor CLI as a child coding agent from DSH - a `cursor_code` tool plus the native one-shot `cursor_subagent` tool, one mirrored DSH sub-session per run, per-task model choice, resumable conversations, a step timeline with real file diffs, and a usage, model and session panel.

Linux desktop notifications and a chime for DeepSeek Harness, sent by the host process so they still arrive with the browser page closed: turn completion, pending questions, tool approvals and turn errors, delivered through notify-send and paplay with a canberra-gtk-play fallback. A browser half adds an in-page toast, a Web Notification and a synthesized Web Audio chime as fallback; every switch lives in a Settings page or a JSON file.

Turn-handoff reminders in the DSH Web UI with a modal or top banner, six browser-synthesized chimes, configurable auto-dismiss, and a sidebar speaker toggle with an unread session list.

LittleStar Meeting Room: bring AI sessions that cannot see each other into one room — for a meeting, or a game of werewolf. By 插件·2代小星辰 (LittleStar) and 辰启星明; the four-piece game layer (targeted visibility, private chat, concurrent asks, elimination) was contributed by 插件·3代小星辰. Any session can host — set the topic and goal, invite members in order, they speak one at a time, and the meeting closes with written minutes; it also runs games like werewolf. Includes 小白使用指南.md, a beginner guide written by 插件·3代小星辰.

Drop-in enhanced fork of the official workflow tool: a verbatim fork of the stock tool plus a persisted saved-workflow library (workflow_save / workflow_list / workflow_get / workflow_delete / workflow_run_saved) backed by ctx.storageDomain, so scripts can be stored, retrieved and re-run with new arguments.

C++ audit skill: detects the target project's actual C++ standard before making any recommendation, then reports findings across RAII and ownership, move semantics, exception safety, performance and memory, containers and algorithms, concurrency, templates and compile-time, standard boundary, and type safety, ABI and interface design, each with a checkpoint, a reason, a bad-to-good example and the minimum standard.

Converts Office and PDF files in the DSH workspace to Markdown locally — no network, no API quota — before the model reads them. Writes each .md next to its source so only a file path enters the context, and returns byte size, line count, token estimate and a heading outline, for a single file or a whole directory.

Bridge to the local doc2md (markdown_monitor) CLI — one doc2md tool with convert, read, scan and status actions over docx, doc, xls, xlsx, pdf and image files.

Distills daily AI conversations (Doubao, ChatGPT, DeepSeek, Kimi) into structured Markdown notes in your Obsidian vault.

Give the agent a talking face: seven tools that drive a self-hosted Mynah realtime digital human — speak (queued or interrupting), play a gesture clip, interrupt, list live sessions and channels, check health, add text to its knowledge base.

Local art pipeline for DSH: drives the locally installed SD WebUI and ComfyUI backends through ten image_* tools and an Art Studio sidebar panel with an embedded ComfyUI canvas, post-processes with the Python shipped with those installs (rembg cutout, Real-ESRGAN upscale, seamless tiling), and writes Godot-ready assets with res:// paths once a project root is set.

Registers one `ocr` tool for text-only models: it runs the offline script bundled in the repo over a single image or PDF and returns the recognized text — Windows native OCR first, then RapidOCR, then Tesseract. Recognition runs locally with no network request and no API key. Needs Python 3.11 on PATH plus `pip install winocr pillow` (winocr is the preferred engine; RapidOCR and Tesseract are fallbacks). Per-line results for images, per-page results for PDFs.

NewAgentUniverseByDeepSeek nodes inside DSH: five read-only tools covering provenance (both upstream releases this build names), a data directory's restored state and ledger audit, the conformance vectors, exact decimal conversion, and node reachability. Driving the node -- starting or stopping a daemon, depositing funds, sending bus messages -- is deliberately not exposed, because those are audited privileged operations in this project.

ZCode-style enhancement of dsh plan mode: a model-initiated enter_plan_mode tool, hard interception of write-class tools at dispatch time (ctx.tools.guard) while planning, and a four-phase planning prompt section (explore, design, review, exit), reusing the official plan/mode state machine and exit review flow.

Complementary web-search provider: every web_search merges the DeepSeek Search API (primary) with serper.dev Google results (secondary) at a fixed 2:1 ratio. Both sides are direct HTTP retrievals with no auxiliary model turn: URL-deduped sources, long DeepSeek summaries clipped into snippets, per-backend timeouts and graceful degradation to whichever backend answers.