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PowerShell 스크립트를 base64 인코딩을 통해 실행하므로 따옴표, $, 백슬래시, CJK가 작성한 그대로 유지됩니다. 내장 pwsh 도구와 동일한 샌드박스 채널.

금융 정량 워크벤치 및 주식 티커: 플로팅 볼과 드로어 패널, 실시간 A/HK/US/글로벌 시장 시세, 다중 기간 K라인 및 5일 장중 차트, 호가창(심도), 자금 흐름, 섹터 히트맵, AI 투자 리서치.

DSH 출력 텍스트의 주식 이름과 코드를 시세와 기업 뉴스를 위한 클릭 가능한 버튼으로 바꿉니다.

회사명이나 티커를 SEC EDGAR를 통해 검증된 주식 심볼로 해석한 뒤, yahoo-finance2에서 가격, P/E, EPS, 시가총액, 52주 범위, 배당 수익률을 포함한 실시간 시세를 가져옵니다.

DeepSeek Harness용 멀티탭 사이드 채팅. 응답이 스트리밍 중이어도 완료를 기다리지 않고 전체 메시지나 응답에서 선택한 텍스트를 사이드 채팅으로 인용할 수 있으며, 사이드바 상태에 따라 패널을 better-sidebar 워크벤치에 도킹하거나 대화에 자리를 양보합니다.

DSH 에이전트용 A주 및 미국 주식 거래 도구 모음: EastMoney를 통한 실시간 시세, OHLCV 캔들, ADX 3상태 레짐 신호 및 간단한 백테스트 미리보기를 제공합니다. 읽기 전용이며 주문을 실행하지 않습니다.

DeepSeek Harness plugin that fixes RTL/LTR bidi rendering in chat: per-block direction for Persian and Arabic messages with embedded English, plus list markers and quote bars that follow their text

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.

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.

Combines historical supplier quotes and service rates into onsite-repair, factory-overhaul, green-remanufacture and replacement options for a motor, then recommends one by total cost of ownership.

A floating stock ticker for DeepSeek Harness: real-time quotes for Nikkei 225 and TOPIX ETF out of the box, plus worldwide markets via Yahoo Finance — Japan (.T), US, Hong Kong (.HK), China (.SS/.SZ) and any other symbol — with a customizable watchlist, display aliases and 16 UI languages.

Composer code-quote collapse for the DSH Web UI: pasting a `path:line` header followed by code folds the input into one compact inline quote token (Ctrl+Z reverses it), and at send time the `agent/pre-step` hook injects the full pasted snapshot to the model as a separate context message.

Unified quoting for DeepSeek Harness Web: select file-editor text or chat messages → annotate → 「引用#N」chip → the AI receives a formatted quote block with file path and exact line range (source line hidden on the user side); sent quotes collapse into a hov

Quote earlier content of the current session into the composer: select text in any message for a Quote pill, or type @ to pick a whole message; the quote travels as a native reference chip and is serialized into the prompt as a blockquote. Client-only, no host routes, no custom session events.

Financial market monitor bundle for dsh: real-time quotes, a local watchlist, threshold alerts with cooldowns, periodic polling, and in-chat ASCII/mermaid charts for A-share stocks/indices and crypto (Tencent + CoinGecko).

Lets users quote selected conversation text with optional notes, then attaches the references to their next message.

완료된 어시스턴트 답변에서 텍스트를 선택해 인용 옆에 번호가 붙은 댓글을 추가합니다. 초안을 모아 공식 컴포저를 통해 하나의 사용자 메시지로 제출합니다.

대화용 메시지 리뷰 및 인용 칩: 심각도 등급과 요약이 있는 멀티 모델 교차 리뷰(코드/답변), 리뷰 이력, Host에 영속화된 환경설정.

AI 응답에서 선택한 텍스트를 다음 메시지에 포함할 수 있도록 웹 채팅 작성기 위에 삭제 가능한 인용 배너를 추가합니다.

Read-only side branch in the right sidebar: quote text to ask follow-ups without polluting the model context of the main session; every follow-up rebuilds the branch from the latest settled turns of the main session, and writes are refused at the tool-execution layer so the prompt prefix stays cacheable.

A newspaper-style front page for a session you left running, as a Conversation View tab beside Chat and Trajectory: a per-turn timeline (duration, steps, tools, tokens, outcome), file churn counted per file, where the wall clock went and how much of it was the model rather than tools, which single turn ate the spend, failures nobody retried quoted with their failing command, and a context-pressure gauge measured against the routed model's own declared capacity. The briefing is folded from the durable session log and never generated by a model, so it costs no tokens, cannot hallucinate, and is byte-identical for the same log and clock; it appends nothing to the session and reaches no model, and it reports a pending approval without ever answering it. Pages are offered only when they have content, and the tab refreshes itself on turn settle and on a two-speed poll backed by a metadata-only tail probe.

Structured git tools for DeepSeek Harness agents: status, diff, log, branch, commit and stash. Output is pinned with ten `git -c` overrides so a user pager, colour or quotepath setting cannot reshape what the agent reads; every invocation is an argv array, so no shell ever parses an argument; and the mutating actions go through the harness approval service, refusing rather than proceeding when no approval service is mounted.

Humanized fork of @xmanrui/dsh-im (base 4.21.2): humanized message delivery with send-delay and typing two-phase, message_break + streaming coexistence, status reactions, reply quotes, per-bot humanize overrides, and a no_reply reclaim tool — across WeChat, Feishu, DingTalk, WeCom, QQ, Telegram, Slack and WhatsApp channels.

Local relationship-memory workbench with a confirmation gate: every AI write — extracted memories and newly created contacts alike — lands in a pending queue until the user confirms it in the GUI; materials are archived verbatim with quote-level provenance checks on AI extraction, and confirmed memories aggregate into per-contact timelines, gift occasions and reciprocity views. Ships a native relationship agent preset for conversation capture; JSON storage by default with an optional SQLite backend, zero production dependencies.