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Unified DeepSeek Harness connector: edit MCP servers (cordis.patch.yml) and user skills (~/.dsh/skills) from one Web UI settings page.

DeepSeek Harness plugin: import models with capabilities from an OpenAI-compatible /v1/models listing (gateway capability extensions) and edit per-model capabilities (thinking, vision) on its settings page

Achievement and gamification plugin: unlock badges for turns, tool calls, sessions, daily streaks and coding behavior (edits/reads/tests), with a badge wall, unlock toasts and a ctx.achievements SDK.

Rules, commands & skills manager for dsh: /rules slash command, settings panel with visual rule editing (add/edit/disable/delete, free-zone support), user-defined custom commands with {input} arguments, skill management, and automatic backup & one-click restore of AGENTS.md.

Skill Manager page in the DSH settings panel: browse system / user / workspace / preset skills, expand a skill to its file tree, view and edit files, import skills from a zip, and export or delete them (system skills read-only).

Automatic type-check diagnostics: after the model edits or creates TS files, runs `tsc --noEmit` in the background (debounced per project) and reports errors via the `code_check` tool — grouped by file with line/column, severity and TS error codes, closing the "edit → check → fix" loop.

Enhanced ACP server for DeepSeek Harness: block & reasoning streaming, usage telemetry, model/effort switching, permission presets, session resume/archive, per-session MCP servers, and Zed file/terminal forwarding.

Review Changes panel above the web composer with a VS Code sidebar bridge: send editor selections, drag files/folders as tags, and batch accept/reject every listed file.

Journals every AI file write/edit into before/after snapshots for an inline VS Code review flow (accept/reject hunks, per-file undo, no git).

Combine text, vision, and image-generation APIs into one Mix model with automatic routing: text-only requests go to the chat model, user images and agent screenshots go to the vision model, follow-ups keep using the same session image, and agents can generate or edit images with session-scoped call history.

Per-edit approval for write/edit/str_replace_editor: shows a red/green line diff before the file is touched and asks approve once or reject, with a master switch in Settings.

Google AI Studio-style floating preview for the Web UI: a draggable/resizable iframe preview with aspect-ratio and resolution presets, plus a VS Code-style code window with direct editing, confirmed writes, and session-log recording.

Workspace file tree for the Web UI: multi-tab preview (text/DOCX/PDF/Markdown/CSV/images), inline Markdown editing, a Git changes panel, and file operations (rename/delete/copy/move/create) via context menu.

Session-scoped Markdown writing pad docked beside the conversation, with edit/preview modes, selection-based AI rewrites, diff review, undo, and draft recovery.

dsh web GUI용 스킬 관리자: 사이드바 항목과, 현재 세션에 표시되는 스킬(전역/로컬 그룹으로 구분)을 나열하는 패널, 스킬별 켜기/끄기 스위치, 생성/가져오기/편집/삭제 기능 제공. 스킬을 비활성화하면 모델에서 사용할 수 없게 됨.

dsh-skill-pack-security용 선택적 프로바이더 플러그인: 팩의 skills/(중국어) 또는 skills-en/(영어) 버전을 ctx.skills에 등록. 두 버전 모두 pack/에 내장되어 제공

AI 에이전트를 위한 안정적이고 편집 가능한 PPTX 생성 — 시맨틱 IR을 입력하면 네이티브 DrawingML을 출력

DeepSeek Harness용 자가 편집 데스크톱 워크벤치: dsh web을 완전히 재현한 편집 모드에서 에이전트가 핫 리로드로 워크벤치(패치 레이어, 플러그인, UI)를 직접 수정

Markdown을 독립적인 자체 완결형 HTML 페이지로 렌더링: 헤드리스 프로필에서 동작하는 `md_html_render` 도구와, 로컬 `.md` 파일을 탐색·미리보기·편집·내보내기 할 수 있는 웹 드로어를 제공, 둘 다 하나의 렌더러를 공유하며 런타임 의존성 없음

DSH 上的类 VSCode 编码体验：Monaco 中央编辑器（文件页签/QuickOpen/状态栏）+ Agent 编辑差异审查（整文件差异/采纳/拒绝/归档/回滚），状态持久化到工作区旁车

Forge quality gates for DeepSeek Harness (dsh): task gates, read-before-edit, bash hazard interception and quality scoring, driven by the forge CLI through DSH's typed interception points.

DSH workspace folders: categorize workspaces into folders in the left sidebar (drag reorder for folders/workspaces/sessions, inline edit, one-click expand/collapse, search) plus per-workspace token usage and cost stats (inline totals, hover detail card, o

Recall (撤回), edit-and-resend (编辑重发) and regenerate (重新生成) for DeepSeek Harness conversation messages — Web and Desktop

Third-party provider reasoning-effort for DeepSeek Harness: thinking levels declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models page card.