プラグイン

中断された DSH Web リクエストを自動再開: ネットワーク障害・タイムアウト・ホストクラッシュ後にキューされた「继续」を送信。エラー分類、適応的バックオフ、テンプレート化された継続テキスト、ブラウザ通知に対応。

DSH会話の記事をセッション内Excalidraw図に変換。diagram_createで下書き、編集と自動保存、PNG/SVG/.excalidraw出力、diagram_readで再読込。0.6は大規模三階層ツリー向け編集可能な概要と索引を追加。

DeepSeek Harness用の同時実行ガードおよびモニター：同時モデル要求が上限に達した場合のFIFOキュー、エラー種別分類付きの毎日永続化統計、放置されたストリームの割り込み検出。

強化されたビジョンツールボックス：単一のOpenAI互換エンドポイントで駆動される14のピクセルレベルビジョンツール（describe、ground、detect、crop、pixel-diff、OCR、long-screenshot OCR、vectorize、colors、cutout、screenshot、present、materialize、html-screenshot）、クリーンな[图片: path]ブリッジマーカー、コンテンツ安全性分類、レート制限自動リトライを備える。

MACD、RSI、移動平均、出来高などのテクニカルシグナルを統合して上昇の事後確率を算出するベイズ株価予測プラグイン。複数期間の比較、トレンド状態の分類、A 株と米国株のポジションリスク指標を提供します。

DeepSeek Harnessのプロジェクト別メモリ。各workspaceで各セッションの最初の手順にPROJECT.md、DECISIONS.md、SESSIONS.mdを自動作成。ディスクから再読込し、変更時または圧縮で脱落した場合のみ再注入します。memory_checkpointで分類保存。作業したのに記録がない場合はターン末に限定通知。memory_readはライブログ/アーカイブを読み、memory_searchは依存ゼロBM25で検索。ログは200件上限、超過分はSESSIONS-archive.mdへ移し、注入せず閲覧・検索・1件ずつ復元可能。設定はworkspace/パス絞込み、3ファイルとアーカイブの読取専用表示・再読込、workspace単位JSON入出力、2段階消去、AGENTS.md指示ブロック編集/削除、PROJECT.md古さ通知。状態チップは同期を示しクリックでファイル作成。依存・ベクトルDB・埋め込み・モデル呼出しなし。

Verifiable issue-to-PR delivery chain: an 11-stage pipeline (analysis, search, code understanding, hypothesis, planning, implementation, patch ledger, tests, review, failure classification, PR build) with 4 human review gates, GitHub/GitLab/CodeArts credential connections, a 5-page workbench and a draggable AI assistant panel.

DSH設定ナビゲーションを整理します。折りたたみ可能なグループ行の下にサードパーティ製プラグイン項目をまとめ、ブックマーク風のカスタムグループ、折りたたみ切り替え、自動分類（マーケットタグ → 名前ルール → お使いのAIモデル）を提供します。

アダプティブなモデルルーティング。リクエストごとに複雑さを分類し、プロバイダーへ自動的にルーティングします。

Turns DSH permissions into 9 selectable presets (3 sandbox modes x 4 approval tiers), with rule plus LLM risk classification across four risk levels, password-gated approval for high-risk operations, and a JSONL audit log.

DSH agent tools for local Ollama System One decision models: classify, answer yes/no, and score against a rubric in one batched request.

Hands secrets and PII to the agent without them entering its context, with checksum-validated extraction and masked content classification.

Sorts every loaded skill into one or more user-owned workspaces in a right-sidebar tab: each workspace is its own category list plus where every skill sits, categories are created, renamed, reordered and deleted in place, and skills are dragged or picked between them. A first run can let the profile model build the first classification, or place skills into categories the user built first; clicking a row copies its /skill-name and hovering unfolds the description the skill ships.

Lightweight crash-recovery for dsh: after a restart, it detects sessions whose last turn was killed mid-flight and re-injects a continuation prompt that first demands the agent verify real-world state before acting, so side-effecting operations are not blindly repeated. It only reacts to the genuine crash marker (turn/end reason 'interrupted', synthesized on cold read by session repair), so it never misfires on user cancels, rate limits or model errors - which is why it needs no error classification, backoff or configuration UI. Unlike general-purpose auto-continue plugins, it also covers the case where a subagent was interrupted mid-run: the parent turn has already ended normally while it waits, so a naive check sees nothing to resume and the whole subagent tree dies silently; this plugin detects the interrupted child and wakes the parent instead. Single host file, zero external dependencies, seven config constants.

Grouped skill picker for the composer. A button beside the input box opens a panel that browses every installed skill by scene (research, office, data, writing, media, dev), with auto-classification for new skills, Chinese annotations, search and drill-down; picking one inserts the /skill-name gesture.

Zero-UI-overhead DeepSeek Harness plugin that automatically classifies conversation intents and names sessions with clean emoji prefixes (optimize, fix, feature, explore, etc.).

Replaces the chat model picker with a collapsible provider-grouped list (640x720 max) that shows each model name, provider name, provider ID and exact model ID, plus a manually managed uncommon list and a separate favorites list. Classification is user-driven only: no usage tracking and no auto-sorting. Search covers model name, model ID, provider name, provider ID and account notes.

Connects TypeSafe/Jev, Cloudflare/Clef, Nace/Drex, self-hosted Laya, and custom decision providers through one interface for agent and plugin classification, filtering, scoring, and image-object localization with structured results.

session_health for DeepSeek Harness — health intelligence (outcome classification, tool-health signals, prompt heuristics, context pressure, A–F grade) computed in-process from the session store, plus a standalone CLI over the same engine.

Auto-adjust model reasoning effort per task (off/low/high/max): task classification, \[effort=...] markers, in-turn error escalation, DeepSeek peak-pricing-period capping with countdown notices, and manual-selection priority.

Apple on-device Vision tools for text-only dsh models: local OCR (zh-Hans + 30 langs), image classification, face detection, document layout, and a combined describe — 100% offline, no API key, tall-screenshot slicing.

Cross-border commerce: HS codes, customs invoices, mainland reachability. HS/HTS code lookup and classification, commercial invoices, live exchange rates, IBAN and EAN/UPC checks, amount-in-English for documents, and whether your site is actually reachabl

Chemical safety intelligence through the hosted MSDS Chain MCP endpoint: 23 tools for compatibility and mixing order, GHS hazards, PPE, storage, waste disposal, exposure limits, transport classification, multi-region regulatory compliance, SDS lookup and version diffs, and signed audit reports, each answer citing the supplier SDS and revision date it is grounded in.