プラグイン

Policy-layer guard that checks tool calls before they run: a read whitelist, a sensitive-path deny list (credentials, browser profiles, chat history, other users' home directories), dangerous-command blocking, subagent isolation, and a static scan that quarantines executables. Every denial is appended to an audit log. It is a text-and-path filter, not a sandbox or antivirus: dynamically built paths, encoded payloads and packed binaries can get past it, and it does not replace the OS antivirus.

Brings the rtk token-saving setup from Claude Code to DeepSeek Harness: commands rtk can rewrite are rewritten, and builds, tests and logs it cannot reach are compressed; git, cargo, npm and pytest are covered. Compressed output tells the model what was elided and how to recover it; when the sandbox cannot reach the rtk store the original is saved and its path given. Savings show without a command: a pill below the composer, with `/rtk stats` for detail. When a rewrite is unreliable the original command runs as usual: if rtk cannot run, or the returned command would drop arguments, nothing breaks. The rtk binary ships with the package, so mainstream platforms need no separate rtk install, unlike most other rtk plugins.

Compares installed plugins against a downloaded DSH update and reports which interfaces they use that the update no longer exposes. Runs before you install, with a dry-run diagnose command for when it declines to act. Windows only, on the DSH desktop app, with Node.js 18+.

Multi-channel push notification plugin supporting Bark (iOS) and ntfy (Android/iOS/Web/Desktop) for turn completion, approvals, questions, and quota halts.

GitLab panel in the DSH right sidebar: commit graph, branches, changes, merge requests (inline diffs, review submission, pipelines), issues, and agent tools with an approval queue for triage and batch actions. GitLab data needs a personal access token or a logged-in `glab`; local git data works without either.

Config-driven lifecycle hooks for DSH: block or observe tool calls, and react to completed turns, messages, and title changes with shell commands.

Plot decision gate for novel writing: five beat_* tools register each node that changes the story into a decision point with 2-4 divergent options, beat_gate returns pass:false until the author picks, and beat_compile turns the picks into a chapter outline.

HarmonyOS delivery orchestration for DSH: freezes a four-dimension acceptance pack whose measurable criteria carry machine-checkable assertions, runs an adversarial pre-review before dispatch, hands the work to DevEco Code in Goal mode, then audits the delivery with independently gathered evidence (screenshots, UI tree, logs, hashed evidence bundle), recomputing assertion verdicts against measured values and filing rework orders; includes a cited rule catalog, a user-confirmation state and a gate calibration ledger.

Deck-generation skill for the National College Student Career Planning Competition. It takes a contestant's profile, materials and photographs, drafts a page-by-page outline for confirmation, then renders a 15-20 page reading-type PPTX (under 15 pages is flagged as a page-count error) using 17 page types, three built-in themes or a user-supplied template; the build audits the estimated layout (text overflow, per-page word count, missing evaluation dimensions, material gaps) and the rendered PDF is checked again for out-of-bounds and overlapping text. Requires Python 3.9+ with python-pptx, python-docx and Pillow; LibreOffice (soffice) and pdftotext are optional for the PDF layout re-check.

Group skills into named sets, toggle any combination, drag to reorder, and preview each group catalog token cost.

Whole-PDF paper translation for DSH on top of a BabelDOC installation you provide (Python CLI, with an OpenAI-compatible API key in its config.toml): bilingual dual-page output, a token cost estimate before running, a per-domain glossary reused across papers, and the server-side thinking overhead disabled for translation.

An AI reading buddy: it sits next to you while you read, and only knows the pages you have already reached — so it cannot spoil the rest, and it never summarizes the whole book for you. Highlight a sentence and ask about it, or just ask about what you finished; it usually restates what you seem to mean and asks one concrete question back. What you work out can be saved as a takeaway and later becomes a review card that jumps back to the sentence. EPUB, MOBI, FB2, TXT, Markdown, HTML, CBZ.

Compiles a repository into a source-grounded code map: structured pages where every claim carries a verifiable path:line citation, an interactive dependency graph, knowledge cards, four model tools and the /codemap command. Deterministic, no model calls, zero dependencies.

GitHub Trending radar inside the Harness Web UI: fetches the daily, weekly or monthly board (optionally filtered by a language), analyzes each repository into description, star gain, tech stack, highlights and risks, renders the result as a filterable card panel with paging, and registers the github_trending tool plus the /github-trending command.

Answers Dark Souls III questions from your own Windows PC save (default `%APPDATA%\DarkSoulsIII\*\DS30000.sl2`): level and stats, current area, bonfires/rings/spells/covenants counted by family, kill state for the 24 bosses, and Steam achievements when Steam is installed - exposed as model tools plus a progress pill beside the composer and a 19-area sidebar page with next-step suggestions. The save stays read-only and is parsed locally by a bundled Python 3 script; Python 3 and the `cryptography` package must be installed, and the game data ships with the plugin.

Publishes and reads QQ Zone posts through SnowLuma's OneBot qzone_* actions (SnowLuma 2.2+ signed in to QQ), and lets the agent understand images with a local vision model (OpenAI-compatible gateway) or Windows OCR.

スクリプトからナレーション付き解説動画を作ります。既定はチュートリアル向けの高速で正確なテキストカードスライドで、区間ごとのAI生成映像にはAGNES_API_KEYが必要です。オンラインの中国語ニューラル音声14種とWindowsオフライン音声3種を収録し、聞き比べ用サンプルを1コマンドで作成できます。ffmpegが必要です。オンライン音声には同梱のvideo-remix skillを`<workspace>/.dsh/skills/video-remix`へコピーし、そこでnpm installを実行してください。

マシンにインストール済みのTeX LiveでLaTeXをコンパイルします。`latex`ツールで数式をSVG・PNG・PDFに、文書全体をPDFに組版し（中国語はxelatexとctexartへ切り替え）、ファイルをワークスペースに書き込みMarkdown参照を返します。システムプロンプトはコードフェンスでなく`$...$`と`$$...$$`を書くようモデルに指示します。TeX Liveがない場合、作成欄の上にBasicTeXまたはTinyTeXをワンクリックでインストールするバナーを表示します。

Claude Code互換の永続メモリです。セッション開始時にホストがMEMORY.mdインデックスを注入し、モデルは通常の読み書き・編集ツールでメモリファイルを管理します。設定ページに保存済みメモリを一覧表示します。Claude Codeと同じディスク形式を使い、claudeモードは同一のメモリディレクトリを共有します。

すでに開いているDSHウィンドウ間のインターコムです。チームも新規セッションも不要で、ホップ数に上限のあるピアツーピアメッセージだけを提供します。

圧縮要約をバックグラウンドで事前計算し、圧縮が発火したときに保持していた結果を確定することで、前面でのモデル往復をなくします。セッションの圧縮エンジンとして登録し、要約対象の範囲を固定して確定時のペイロード指紋を一致させ、ツール結果を整理してから確定します。ペイロードのずれやコンテキスト超過時は標準の前面処理に戻ります。

chat.deepseek.comの会話を読み取り専用で新しいDSHセッションへ書き出します。選択したターンは原文のまま、前のターンは各1行にまとめた引き継ぎパックを作成し、送信せずに作成欄へ入力します。公開パッケージの対応OSはWindowsのみ。EdgeまたはChromeと、chat.deepseek.comへの初回ログインが必要です。

完了したターンをその場で巻き戻します。自分のメッセージの横のボタンで、そのメッセージ以降をモデルのコンテキストから取り消し、本文を編集用に作成欄へ戻せます。任意で、DSH filesystem serviceを通じてターンが変更したファイルも復元します。

作成欄のモデルメニューを「プロバイダー→そのモデル」の2段階リストにし、現在のモデルとプロバイダー名を併記します。モデル選択後に推論強度を尋ね、設定でプロバイダー全体または個別モデルを一覧から隠せます。