플러그인

DSH Web GUI용 터미널 스타일 입력창입니다. 셸 프롬프트 기록(↑/↓, 접두어 검색, Ctrl+R), Codex 스타일 자동 완성과 다음 프롬프트 예측(Tab 또는 →로 적용), 선택 도구 모음(복사/인용/사이드 채팅에 질문), 우클릭 붙여넣기, 드래그 가능한 채팅 목차, 오른쪽 사이드바의 병렬 채팅 스레드를 제공합니다.

DSH 작성기에서 입력을 예측합니다. 매 턴 후 다음 프롬프트를 고스트 텍스트로 제안하고 Tab으로 적용할 수 있습니다(autocomplete / input prediction / prompt suggestion).

DeepSeek Harness 및 Claude Code용 Polymarket 툴킷: Gamma/CLOB/Data-API용 시장 데이터 도구(DSH의 31개 모델 도구, MCP를 통해 노출되는 읽기 전용 하위 집합 포함), 옵트인 인증 거래 도구, WebSocket 스트림 서비스, 내장 Polymarket knowhow 스킬.

MACD, RSI, 이동평균, 거래량 등 기술적 신호를 융합해 상승 사후 확률을 산출하는 베이지안 주가 예측 플러그인. 다중 기간 비교, 추세 상태 분류, A주와 미국 주식 포지션 리스크 지표 제공.

Tab autocomplete for the DeepSeek Harness desktop and web composer: next-message ghost text, inline draft completion, and Alt+Up/Alt+Down candidate cycling.

Prompt optimization, next-sentence prediction, inline completion, and per-session draft stashing for the DSH input box.

Next-prompt suggestions: after each answer it predicts your next message as grey ghost text in the composer. Tab fills it without sending, and the prediction model is selectable.

Predicts the user's next prompt after each assistant reply and shows it as gray ghost text inside the composer; accept it whole with Tab, accept it piece by piece with Alt+→, reroll it, or dismiss it with Esc.

DSH 컴포저 입력을 예측합니다. 각 턴 후 다음 프롬프트를 고스트 텍스트로 제안하고 Tab으로 적용할 수 있습니다(autocomplete / input prediction / prompt suggestion).

DeepSeek Harness용 플러그인 조합 분석: 의존성 트리, 충돌 감지, 예측 기반 위험 점수화, 시각화 및 조합 시뮬레이션.

DeepSeek Harness용 SSQ(중국 복권 더블 컬러볼) 도우미: 1000회 추첨 추세 추적, 앙상블 투표가 있는 6개 예측 모델, 구조 분석 및 ssq 도구를 통한 담탁(胆拖)/랜덤 생성.

Predicts your next instruction from the current conversation and shows it as the composer placeholder; press Tab to turn it into an editable draft.

Shows a dimmed suggestion of the user's next message in the empty composer after a settled turn; Tab accepts it into the draft and Escape or typing dismisses it.

ChatGPT-style composer predictions for DeepSeek Harness: after each assistant turn, suggest the user's next message as ghost text in the composer. Tab accepts, Escape dismisses.

Input prediction: the likely continuation of your draft appears as grey ghost text after the caret and Tab accepts it, and after each assistant turn 1-3 clickable follow-up suggestions appear above the input box and send on click. Ghost completion, suggestions and the suggestion count can be toggled in Settings, Built-in plugins.

Live usage gauge injected into the system prompt every turn: session tokens and estimated spend, a next-turn estimate, and two predictions the model can act on — which step fills the context window and which step burns the budget. /qm panels, zero-config by default, optional price table, and it publishes a summary.json budget contract sibling plugins read.

The composer predicts what you are about to type. Inline ghost text sits on the caret, measured against the editor's own font and line box, and Tab turns it into real text (Esc ignores it). The prediction is one short call through the session's own model router, seeded with your draft and the last few turns of the conversation, so an empty composer also gets a next-prompt guess written in the user's voice; suggestions that merely restate the assistant are dropped. Host side is one HTTP route with sub-path endpoints (loopback-only, 64 KB body cap, 2-minute result cache, 20-second miss cache, one in-flight call per session); client side is one 0-height overlay registered on conversation.input.overlay, with insertion guarded by the composer's draftRev CAS and a setDraft fallback. IME composition and slash commands are skipped. 16 node:test cases, zero runtime dependencies, real screenshots in docs/.

Predicts your next message after each completed turn and shows it as ghost text in the composer: press → to accept, or keep typing and finish it word by word with Ctrl+→, Esc to dismiss. The prediction model follows the session by default or can be picked in the settings card, which also has an on/off switch and a speed test.

蛋白质结构预测与设计插件：序列设计（ProteinMPNN/SolubleMPNN/LigandMPNN）、结构预测（ESMFold）、复合物界面筛选、序列理化打分与多样性聚类——零手动自举（本地 CPU/GPU 自适应），供 dsh-bio-genie 消费 | Protein structure prediction & design toolkit for dsh (sequence design, folding, interface screening)

Claude Science-style AIDD research workbench for DeepSeek Harness — ReAct research loop, versioned artifacts with provenance, and 17 skills for virtual screening, molecular generation, ADMET prediction, DTI modeling and model reproduction.

Dependency-topology guard: pre-install conflict prediction and post-install detection of duplicate @deepseek-ai/dsh-* copies, version drift, and vendored core services that cause Symbol-key crashes like "Cannot read properties of undefined (reading 'prepare')".