플러그인

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 플러그인: `dsh web`이 서비스 준비되면 시스템 기본 브라우저를 자동으로 열기

DeepSeek Harness(dsh) 웹 플러그인: 사이드바 하단에 API 잔액 + 오늘 지출 위젯 표시. /api/dsh-usage 라우트 + React 클라이언트 번들, 빌드 과정 불필요

DeepSeek Harness용 경량 사용량 분석 — 토큰 추이, 활동 히트맵, 모델별 분류, 내보내기

증거 우선 운영 키트입니다: 6가지 읽기 전용 도구(기능 카탈로그, 단계별 워크플로 계획, 패키징된 스킬 리더, 범위 제한 로컬 메모리 검색, 저장소 릴리스 감사, 릴리스 체크리스트)와 5가지 패키징된 스킬을 제공하며, 계획과 감사만 수행하고 원격 쓰기는 하지 않습니다.

실제 연산 검증 게이트: 수식 단순화, 논리 증명, 정규식 검증, E-prover FOL, 상태 머신 검사, 코드 복구, Go로 컴파일된 바이너리 기반(미리 빌드된 Windows 실행 파일 포함)

DSH용 ADB 기기 및 벤치 작업: 기기 탐색, 구조화된 logcat(백그라운드 스트리밍), apk 설치, 파일 pull/push, dumpsys 성능 스냅샷

md/txt/docx/pdf로부터 감사 가능한 KB 팩(SQLite FTS5)을 구축하며, 결정적 검색과 원문 읽기 지원

컴포저에 첨부된 이미지를 텍스트 전용 DeepSeek 모델에 전달하기 전에 OpenAI 호환 비전 모델이 텍스트로 변환

프로젝트 범위의 세션 간 메모리: 첫 사용자 메시지에 PROJECT.md 스냅샷을 주입하고 memory_remember 도구와 ReAct 작업 후 자동 회고 제공, 프로젝트별로 독립된 메모리 파일 유지

DSH용 Windows 트레이 데스크톱 셸: GitHub Releases에서 exe를 자동 설치하고 바탕화면 바로가기를 생성하며, 채팅에서 실행할 수 있는 desktop_launch 도구 추가

A conversation-style layer that rephrases trade-off warnings: when a shortcut is cheap but has a catch, the reply may say the fast road is the rival shop and the slow one keeps its rules. Ships a rewrite engine that turns any text into a fixed-format dialogue with five independent knobs (act count, catchphrase density, ending turn, seed, preset), a slider for four on/off intensity levels, and a /bushaoxin command that reports a joke "heartburn index" from the session tool-call log. Every rewrite ends with a real technical conclusion that cannot be disabled. Zero dependencies, no build step, engine is pure functions.

A no-limit Texas holdem table where you are the only human. Eight seats: you plus seven LLM agents written on AI-founder personas (Altman, Dario Amodei, Musk, Liang Wenfeng, Jensen Huang, Lei Jun, Zhang Yiming). Each agent bets through the currently selected host model and falls back to its own heuristic style when no model is available; every agent only ever sees its own hole cards, because the prompt is built from that seat alone. A hand ends by revealing the winner hole cards, with a flip animation replayed on every community card, and a rail keeps a live action-and-table-talk timeline. LAN mode (off by default, single-machine play is unaffected) lets another install on the same network join this very table: the host shows a six-digit room code, UDP broadcast discovers nearby tables, and a joiner randomly takes over one bot seat, with the seat handed back to its character on leave or after twenty seconds of silence. The room code is never put on the wire and every snapshot is generated for one viewer seat, so nobody, not even the host, can read another player hole cards. Fork of BubblePtr/dsh-holdem (MIT), credited in the README and in the UI.

A governed registry for MCP connectors (stdio and streamable-http): four-level fail-closed authorization, mcpServers JSON import that rejects malformed args, credential redaction at every output boundary, an agent bridge that returns an honest review verdict instead of a fake approval, and a /mcp-reg operator console plus a settings page.

Windows toast notifications when a DeepSeek Harness task finishes: the session title, the outcome, and a summary of the final reply, sent once when the agent really stops rather than once per round of a running goal.

Turn-handoff reminders in the DSH Web UI with a modal or top banner, six browser-synthesized chimes, configurable auto-dismiss, and a sidebar speaker toggle with an unread session list.

A Multitask agent preset where the main conversation only plans, briefs subagents and summarizes results, while file reads, commands, search and builds run inside subagent contexts; four worker kinds, an approval gate for dangerous operations, and zero changes to DSH source.

Deep-reading workflow for books: import EPUB/Markdown/TXT/PDF into chapters, read one chapter per subagent so the source text never enters the main session, keep \[n]-anchored chapter memories for cross-session continuation, and export notes or an EPUB.

Builds a Markdown knowledge base from your course materials, then drills you until every knowledge point reaches your target accuracy; each answer must include your reasoning.

Converts Office and PDF files in the DSH workspace to Markdown locally — no network, no API quota — before the model reads them. Writes each .md next to its source so only a file path enters the context, and returns byte size, line count, token estimate and a heading outline, for a single file or a whole directory.

Give the agent a talking face: seven tools that drive a self-hosted Mynah realtime digital human — speak (queued or interrupting), play a gesture clip, interrupt, list live sessions and channels, check health, add text to its knowledge base.

Reads animated GIF and WebP as animations: a pasted one keeps playing in the UI while the model gets a labelled sheet of frames sampled across it, and the read_animation tool samples a file on demand.

Local art pipeline for DSH: drives the locally installed SD WebUI and ComfyUI backends through ten image_* tools and an Art Studio sidebar panel with an embedded ComfyUI canvas, post-processes with the Python shipped with those installs (rembg cutout, Real-ESRGAN upscale, seamless tiling), and writes Godot-ready assets with res:// paths once a project root is set.

Chat with the DeepSeek web app (chat.deepseek.com) in a native DSH panel — a real browser drives the site on your existing web login, with streaming replies, deep-thinking and smart-search toggles, and image or document attachments. Conversations can be recovered from the web side, exported as Markdown, and distilled or replayed into a harness session, and the agent reaches the same web chat through five tools (dschat_status, dschat_send, dschat_recover, dschat_import, dschat_transfer).