プラグイン

スマートフォンのカメラを、LANまたはUSB経由でdshセッションのライブビューファインダーおよび写真入力に変えます。

対話型 DSH プラグインファインダー：4 ソース統合インデックス、BM25 プレフィルターと LLM セマンティックランキング、候補にエビデンスグレードとローカル静的セキュリティ監査を付加、安全なインストールフローにポストインストール検証を備えます。

品質を考慮したエージェント内プラグイン検出：毎日の品質スコアインデックス（インストール可能なマニフェスト、厳選リスト、ライセンス、アクティビティ）をライブgh検索と統合してdsh-pluginトピック全体をランク付けするfind_dsh_pluginsツール — LLM APIコストゼロ、すべての結果にリスクフラグと正確なインストールコマンド。

要件駆動型の dsh プラグイン発見と環境レシピ：plugin_guide は自然言語ニーズを精選されたプラグインディレクトリに理由とインストールコマンド付きでマッチング。recipe はバンドルされたコミュニティバンドル（通知フルセット、セキュリティ監査セットなど）からオーダー付きプランでセットアップ全体をインストールします。

思考の連鎖の漏えい検出用リンター。ゼロ依存の CLI として、ドキュメントやコメント内の AI セッションの残滓（使われなくなった設計引用、PR の視点、変更の語り、レビューの段取り）を見つけ、インストール可能な bundle として cot-trim 修正スキルを同梱する。

Android development toolchain inside DeepSeek Harness: 23 android_* tools that find the SDK, create and manage AVDs, start and stop emulators, scaffold a Kotlin/Compose project, build and run it with Gradle, then install, launch, screenshot, tail logcat and drive the UI. A settings page holds the SDK, emulator, API-level, build and output parameters.

Annotate elements in the built-in browser — click one, write a comment, then send the whole batch to the session in one message so the model can find and edit the matching source.

Continues work across coding agents inside DeepSeek Harness: six sessionflow_* tools query a local session index built by sessionFlow to find past work, show where the current project left off, and hand the goal, files and open items to the next agent. Requires the separate sessionFlow core, installed from its GitHub repo. Everything stays local — no cloud, no telemetry.

Finds wasted GitHub Actions runner time and proposes small, reviewable workflow patches, with explicit approval before any edit and a DSH settings page for analysis rules, history limits, storage, and cost estimation.

Adds mark-unread, copy session info, reveal in Finder or open with your IDE, and permanent delete (with child sessions) to the DSH sidebar session menu, plus error and unread status dots, hover-card details, one-click delete for archived rows, and a settings panel that switches each menu item on or off; the interface is available in English and Chinese.

Read-only attachment library: lists every image and file attachment stored on this machine, its size, and which conversations (including those in the session trash) still use it, with Show in Finder and Open in Preview.

Read-only clinic for DSH session logs: 22 named diagnostics (token waste, retry and failure loops, context bloat, cross-session amnesia, idle MCP servers and skills), each reported with a replayable evidence locator such as session.v4.jsonl.zstd#L101-L110, and each finding turned into an executable prescription — a profile-patch YAML snippet or a command with current to suggested values, risk, verification and source — plus a feedback command that retires a prescription you reject, after which the report states it was removed by your feedback. Zero dependencies, default zero egress, session files are never written.

Everything (voidtools) file-name search: everything_find queries the local Everything index to locate files and folders on any indexed drive in milliseconds, and adds a configuration card to the Plugins page.

Adversarial review for DeepSeek Harness: put one settled plan on the stand, send read-only red-team experts at it by dimension, then split their findings into single defects you endorse or reject one by one. It never rewrites the plan and never fixes code.

Permission-wall-immune file search for DeepSeek Harness (DSH): the find_file agent tool skips unreadable directories, reports them with errno, and never lets a failed walk pose as an empty result.

Find and compose DSH plugins from a task description, then open an independent chat environment or install the plan into the current profile.

Read-only Skill inspector for DeepSeek Harness. It shows which Skills a conversation actually loaded — from observed loading evidence only — and which Skills the current environment can discover, and gives each Skill a detail page whose left column switches between the framework, the evidence, validation, evaluation, step evidence, run logic, the before/after of a modification when there is one, the definition facts and the raw SKILL.md. Declaration and run stay apart: the body is split into structure, declared workflow and progressive disclosure, the run logic is read from local receipts, and every declared step carries its own evidence — no observed evidence is reported as exactly that, not as executed or not executed, and the run's instruction hash sits beside the current definition as match, mismatch or unavailable. The evidence view gives each subject one of three states (declared, observed, unavailable), walks definition → load → use → outcome, names what each stage cannot reach, declines to attribute an outcome to the Skill, and can copy the snapshot out as byte-stable JSON. Validation checks the Agent Skills open standard and the platform profiles separately, each finding on a rule id and labelled standard compliance or platform compatibility. Evaluation keeps repeatable cases with the conditions each run was recorded under and the four stages of runtime evidence, comparing two runs of one case item by item without scoring them. The trigger boundary keeps should-trigger and should-not-trigger prompts, has you run them in a real new session, then records what was observed — whether a load record appeared and whether it was model-invoked or user-explicit; a typed /name is not a natural trigger, and an absent load record is reported as not observed, not as not triggered. The same projections are exposed to the agent as a read-only skill_review tool, which returns a structured review packet and says what it omitted when the packet will not fit whole. The inspector, the evidence chain and these reviews are computed on this machine from the definition and the session receipts; the Chinese reading version sends the body through the host's model when you ask for it, keeping code fences, paths and frontmatter verbatim and storing the result on this machine. A Skill can also be cloned into a local copy. It does not write back to the source Skill and does not run its scripts.

Quick-open palette for the Web GUI: Ctrl+P fuzzy-searches an in-memory index of the session workspace (about 51k entries, median query 5 ms) with per-segment path anchoring, dir: and file: prefixes, Tab directory drilling and :line jumps, opens the picked file in the native right sidebar, and drops a file reference into the conversation draft with Ctrl+Enter. Also adds in-file find (Ctrl+F) and a selection-to-reference action to the built-in file preview.

Structural code intelligence for DeepSeek Harness — gives the agent codegraph and codegraph_index tools to find where a symbol is declared, what calls it, what a change reaches, and how one symbol reaches another, from a tree-sitter index it builds itself

Workspace-scoped Semgrep SAST tool for DeepSeek Harness with a managed Windows x64 runtime, structured bounded findings, cancellation and timeout controls, and user-approved sandbox escalation. Installs from npm as @aaub-software/dsh-semgrep-sast.

Workspace-first enhanced sidebar for dsh Web that shadows the built-in workspace browser at low priority (one-click toggle back to the official one) and adds soft workspace archive/restore, per-workspace SVG icons and accent colors, drag reorder and title/path/session-content search, plus a ⌘K Spotlight palette fuzzy-searching workspaces and sessions; the host half ships read-only workspace_find/workspace_list model tools and /workspace-find /workspace-list slash commands. Bilingual zh/en.

Browse local image, video, and SVGA artifacts from conversation nodes in a Finder-style column view.

コードレビューを必須ゲートにします：決定的な重大度ルール、LLM支援による指摘、チーム承認のquorum、耐久性のあるコンプライアンス監査証跡を備え、merge前にすべての合格を要求します。

キーワード、ピンイン、意図、またはAIを使ってDSHの設定ページ、タブ、項目をすぐに検索し、直接移動できます。