プラグイン

PowerShell スクリプトを base64 エンコード経由で実行するため、引用符、$、バックスラッシュ、CJK が書いたとおりに保たれます。組み込みの pwsh ツールと同じサンドボックスチャネル。

金融クオンツワークベンチおよび株式ティッカー：フローティングボールとドロワーパネル、A/HK/US/グローバル市場の実時間クォート、複数期間のK線および5日分の日中チャート、深度板情報、資金フロー、セクターヒートマップ、AI投資リサーチ。

DSH の出力テキスト内の銘柄名とコードを、株価と企業ニュースへのクリック可能なボタンに変換します。

企業名やティッカーを SEC EDGAR 経由で検証済みの銘柄コードに解決し、yahoo-finance2 から価格、P/E、EPS、時価総額、52 週レンジ、配当利回りを含むリアルタイム株価を取得します。

DeepSeek Harness 用のマルチタブサイドチャット。返信のストリーミング中でも完了を待たずに、メッセージ全体や返信から選択したテキストをサイドチャットに引用でき、サイドバーの状態に応じて、パネルを better-sidebar のワークベンチにドッキングするか会話に譲ります。

DSHエージェント向けA株・米国株取引ツールキット。EastMoney経由でリアルタイム株価、OHLCVローソク足、ADXの3状態レジームシグナル、簡易バックテストプレビューを提供します。読み取り専用で、注文は一切発注しません。

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.

完了したアシスタントの返信でテキストを選択すると、引用の横に番号付きコメントを追加できます。下書きをまとめて公式コンポーザーから 1 件のユーザーメッセージとして送信します。

会話のメッセージレビューと引用チップ：重大度の格付けと要約を伴うマルチモデルのクロスレビュー（コード／返答）、レビュー履歴、ホストに永続化される設定。

AIの返信から選択したテキストを次のメッセージに含めるため、Webチャットのコンポーザー上部に削除可能な引用バナーを追加します。

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.