プラグイン

ハーネス自身の基盤上にある、ワークスペースごとのネイティブメモリ: storage-domain JSON ユニット上に、事実と上限付きの常時有効プロフィールを保持し、書き込みは承認ゲート付きで `(sessionId, seq)` の引用を伴います。決定論的な想起と、過去のセッションに対する session-query FTS を備え、外部サーバーもカスタム SQLite も不要です。

リアルタイム DeepSeek API usage：low-balance alerts 付きアカウント残高（しきい値超過時に browser notification）、token & request 統計（total/today/last-60s ウィンドウ、per-model および per-session）、estimated cost — composer dock と settings-page の usage panel。

AI エージェント向けの、安定した編集可能な PPTX 生成——セマンティック IR を入力し、ネイティブ DrawingML を出力します。

Enhanced desktop shell for DSH: auto-starts the local backend on launch (no browser tab), asks before closing the backend on quit, and starts the backend in parallel with Electron for faster cold start. Fork of dsh-clean-desktop-shell.

Conversation task-completion reminder for DeepSeek Harness (Web UI and DSH Desktop): a Windows system toast (Web Notification) on every stop — task complete, the agent waiting for your answer (ask_user_question pending), or an error stop (any failed turn

Build PowerPoint decks from a brief: plan and storyboard gates, per-page authoring through pptwise and ppt-master, a design-profile pass, page-image snapshots with a render audit, and a tool that hands those pages to an image-capable model for review.

Counts token usage for one selected project per machine, syncs the totals to a self-hosted team server, and shows each member's project, spend and last active time in a sidebar panel.

Markdown visual enhancement and session workbench for DSH Web Composer: live syntax presentation with caret-row source reveal, deterministic local completions and diagnostics; long pastes fold into persistent chips with inline context or file-mode delivery (@path across 50+ extensions) plus sidebar LLM rewrites (stop, preview diff, undo/redo); real-time context map with token gauge, composition breakdown, per-turn growth chart with anchor lines, in-place /compact, and turn forking.

Sandboxed ripgrep / fd / ast-grep under allowRoots (defaults include ~/.dsh/im-workspace).

Right-click menus for the DSH Web UI — copy, cut, paste and select all on text and input areas, plus copy path, reveal in the file manager and open with the default app on file references and links.

Skill that fact-checks a claim against the open web rather than model memory: it splits the claim into independently checkable fact points, routes each point to the primary-source ladder for its domain (policy, academic, medical, financial, disaster and accidents, food safety, science, education, sports, entertainment, judicial, and more), searches domestic and international ecosystems in parallel, fetches primary pages, grades sources by type, re-searches with debunking keywords, and reports conclusion-first with a full URL and citation position behind every statement, keeping unverified and undecidable points separate from confirmed ones. Three factual judgements can be routed to a TypeSafe Jev (System One) decision model when a key is configured, falling back to the skill's deterministic rules when it is not; a model verdict can only lower a confidence tier.

Personal paste inbox for DeepSeek Harness (dsh): capture, classify, browse and retrieve.

Simulated life context for DeepSeek Harness: every turn injects the past 24h of simulated life events from the workspace .life/ directory (sliding-window filter, session-level deduplication with delta updates, world summary) as a collapsed context notice, and the life_react tool lets the agent record feelings, thoughts and actions back into its life log for the next round of world evolution — turning a DSH agent into a roleplay character with a persistent daily life.

Top-right status plate for DeepSeek Harness. DSH 右上角状态提示板。

In-page task notifications with collapsible status toasts, sound, and session navigation.

Registers the imagegen skill on the skill registry, so generating and editing raster images needs no hand-copied files under $DSH_HOME/skills. The agent drives a bundled image_gen.py CLI against any OpenAI-compatible GPT Image endpoint for text-to-image, reference-image editing, and transparent-background cutouts.

Forwards an unattended DeepSeek Harness run's tool-call approvals and ask_user_question prompts to Feishu cards on your phone. The desktop GUI answers first — a card is only sent after `delaySeconds` (120 by default) with no answer there — and a phone approval grants `allowed-once`, so no authority accumulates on the phone. One outbound WebSocket long connection to Feishu: no public IP, domain, tunnel or relay.

Agent billing and usage observability for dsh web: session-log direct-scan recording (zstd, per-event timestamps, watermark + lastSeq double dedup), multi-account rate profiles per provider and model, per-window live badge reading the window session id via React fiber, full glassmorphism dashboard with 14-day sparkline, budget alerts, relay-station balance queries and a 332-model official price library.

Auto-expands streaming thinking: always keeps the latest thinking block expanded, manual actions take priority, only the last block expands when opening a session, and nothing remains after uninstall.

dsh plugin: switch named model profiles (default model, think level, per-subagent models) interactively via the host ask-user flow — one implementation for the TUI and web surfaces, a clean fast-fail on headless

DeepSeek Harness plugin: Windows desktop notifications + sound when an agent turn finishes or the harness is waiting for you.

Keeps an unfinished task list visible across turns. DSH clears the todos projection at the start of every turn and expects the model to rewrite the whole list, so when a turn is interrupted the plan is durably in the session log but permanently gone from the UI — and todo_write is write-only, so neither the user nor the model can read it back. This plugin registers one ordinary session/event listener, remembers the last list per session, and when a turn/start arrives whose remembered list still has unfinished work, re-appends that list so the projection stops reporting an empty plan. No fork of tool-todo and no waterfall: a plugin cannot replace the projection (the registry throws on a stateVersion mismatch), so appending the event the fold reacts to is the reachable seam. Deliberately narrow — only unfinished lists, at most one event per turn start, fails open. Verified by a controlled A/B on real sessions: identical runs differing only in whether the plugin was installed, folded through the real projection definition. Zero dependencies.

Settings section that reports token usage: totals for input, output, cache read, cache write, reasoning and call count, with breakdowns by model, day, month and project plus a per-day trend chart for the last 30 days; history is rebuilt once on a worker thread and then kept current from live session events.

Use ChatGPT and Codex subscriptions in DeepSeek Harness with OAuth, quota runway forecast, safe resets, web search, image generation, and Fast mode.