플러그인

기본 DSH 모델 선택기를 대체하는 애니메이션 Claude 스타일 추론 노력 슬라이더 및 모델 선택기.

DSH 플러그인: 웹 GUI 통계 바에 세션별 예상 DeepSeek API 비용을 표시

dsh-skin 강화판: DeepSeek Harness에 스킨 전환과 사용자 지정 배경 벽지 기능 제공. 기존 버전의 두 가지 문제를 수정 — ① 대용량/특수 포맷 이미지 업로드 시 응답 없음(createImageBitmap으로 직접 디코딩하도록 변경, 처리 중 및 오류 표시 추가); ② 테마 전환 시 overrideTokens가 theme/change를 트리거해 무한 재귀로 스택 오버플로 발생(스킨/명암 가드로 순환 차단). 벽지 저장 방식을 localStorage 압축 방식에서 IndexedDB 원본 파일 직접 저장 방식으로 변경해 전체 화질 표시, 압축 없음, 기존 데이터 자동 마이그레이션

컴포저에 첨부된 이미지를 텍스트 전용 DeepSeek 모델에 전달하기 전에 OpenAI 호환 비전 모델이 텍스트로 변환

어시스턴트 답변의 로컬 이미지 경로를 메시지 본문에 인라인으로 렌더링(9가지 포맷 지원, 클릭 확대 라이트박스, 크기 조절 가능)

Model-callable compact_agents tool that force-compacts context in every live session (main session, ordinary sub-agents and AgentTeams members alike), queues busy targets and compacts them when the turn ends, reports the shadowed node count and estimated tokens per target, and ships a browser form for the trigger ratio, retained ratio, controlled-phase output budget, auto-continue budget and an end-of-turn pre-compaction ratio that compacts near the trigger line once a turn ends, so a reply no longer opens with a wait for the summarizer.

Startup splash for DeepSeek Harness: an animated avatar with aurora, stardust, pointer parallax and a module-assembly entrance, plus the same image as the main-UI wallpaper; both images can be swapped from a settings page that previews the animation live.

Registers the imagegen skill on the skill registry, so generating and editing raster images needs no hand-copied files under $DSH_HOME/skills. The agent drives a bundled image_gen.py CLI against any OpenAI-compatible GPT Image endpoint for text-to-image, reference-image editing, and transparent-background cutouts.

Connect Google Antigravity Code Assist OAuth accounts to DeepSeek Harness for Gemini and Claude streaming LLM routing and Nano Banana 2 image generation.

Live progress bar under the composer with a percentage and an estimated time left for the current DeepSeek Harness turn; the estimate re-anchors as the turn runs and never reads 100% until the turn ends, and the bar turns red when the turn fails or is interrupted.

Per-reply read-aloud with a multi-provider settings page — MiniMax or any OpenAI-compatible /audio/speech endpoint, with voice, emotion, speed and model selection plus an auto-read toggle.

Same-origin in mechanism with the two loudest lines in context compression. The code-skeleton gate follows the skeletonization approach of Headroom (Apache-2.0), whose published headline is 20% fewer tokens for coding agents and 60–95% fewer tokens for JSON, same answers. The estimator channel follows TokenPilot (arXiv:2606.17016), which reports up to 60% lower cost for long-session agents. Both figures are theirs, quoted as-is; this plugin ships no benchmark of its own and claims no reduction of its own. What it adds for DeepSeek Harness: choose a compression profile, set the Auto Compact trigger level and toggle code-skeleton compression from one settings section, with exact DeepSeek V4 tokenizer measurement, same-revision count verification, and fail-open behaviour that keeps the original tool results on unsupported models.

Sign in to DeepSeek Harness with a Claude Pro/Max membership (no API key), downscale Anthropic request images to a 2000px long edge, slim /compact summarizer payloads, and show 5-hour/weekly plan usage plus DSH message counts.

DeepSeek Harness plugin: auto-route image-bearing requests to deepseek-v4-flash-vision-exp, then fall back to the original model.

AI image and video studio as a floating DSH panel, so creation runs alongside the conversation instead of replacing it: text-to-image, image-to-image and multi-image composition at 1K-4K across eight aspect ratios; text-to-video and image-to-video with first-frame control at 4-12 seconds; short-drama mode that imports a script (.txt/.md/.json), breaks it into storyboard shots for preview and batch generation; and a prompt-expert workspace. Zero runtime dependencies.

MiniMax 语音识别（asr-1.0）+ 语音合成（speech-2.8-hd）的 DeepSeek Harness 全局插件：转写工具、任务结束后用喇叭念一句的播报、实时免手对话、303 个音色可选

Feishu (Lark) integration for DeepSeek Harness: 25 tools for chat messages and history, cloud documents (including knowledge-base pages, generated charts and images), bitable records, spreadsheet ranges and drive permissions, using your own enterprise self-built Feishu app.

Model picker for the DSH web composer that replaces the model seat: a search-first popup whose left column indexes the suppliers and scrolls the grouped list, with a favorites group pinned at the top, image icons separating native from bridged vision input, and a reasoning-effort panel opened from the right zone of the trigger.

Publishes the running dsh Web server's PID, port and tokenized URL to a runtime file for the DeepSeek Harness Switch Dock app, and removes it on shutdown.

Personalises the DSH running-turn status line: rotating bilingual quips, a configurable animated loading icon (5 styles x 3 sizes) and one-click matching to the active theme colour, all in a General-settings panel, plus a # Chinese / # English sectioned quips editor. Ships with no dependencies, no build step and no config file.

Text-to-image for DeepSeek Harness: a `draw_image` model tool, an input-bar 生图 button with a prompt popup (async generation, 4-grid results, download / keep / delete), an /imgdraw image route, and persisted history. Backends: DashScope wan2.7-image (free

Adds an avatar to the left of each turn's final AI reply and to the right of each user message; upload your own image and set its size and circle or square frame.

DSH Web UI workspace document vault — a “文档” tab for previewing Markdown/PDF/Excel/images/code with wikilinks, Mermaid and in-page editing.

Use ChatGPT and Codex subscriptions in DeepSeek Harness with OAuth, quota runway forecast, safe resets, web search, image generation, and Fast mode.