플러그인

중국어 장편 시나리오 작성 스킬: 두 개의 입력 블록(배경 + 캐릭터 바이블)을 인과 가치 엔진에 투입하고, AI 티 제거 리뷰와 연속성 대장을 수행. Codex / Claude Code / dsh / zcode에서 작동.

claude-code / codex / reasonix / zcode의 대화 기록을 dsh 세션으로 가져옵니다: 워크스페이스 바인딩, 도구 호출 보존, 세션 과대화 방지, zcode 압축 복원을 지원합니다.

이 기기의 20개 이상 AI 에이전트(Codex, Claude Code, cc-switch, Hermes, opencode, Gemini, Grok, Kimi, CodeBuddy, Trae, OpenClaw, Qoder, WorkBuddy, Zcode, Cursor, Windsurf, Cline, Roo Code, Qwen Code 등)를 스캔하여 MCP 서버와 스킬을 원클릭으로 DSH에 동기화, 관리, 추가 — 전역 또는 워크스페이스별.

ZCode 스타일의 영구 프로젝트 메모리. 완전한 설정 관리자, 인덱스 우선 주입 및 에이전트 메모리 도구 포함.

Codex, Claude Code, Cursor, Grok, Pi 및 ZCode 작업을 DeepSeek Harness에서 계속합니다.

DSH 사이드바 설정 위에 Command Code 플랜 쿼터를 표시합니다: 5시간·주간·월간 창을 사용률과 리셋 카운트다운으로 보여주고, /quota 명령과 무의존성 CLI를 제공합니다. 키를 자체 제공자 라우트에서 읽으므로 설정이 필요 없고 다른 플러그인도 필요 없습니다.

정·반·봉인 논쟁을 실행하며, 판정은 에이전트의 서술이 아니라 실제 명령 종료 코드와 케이스 수로 계산됩니다.

DeepSeek Harness용 로컬 멀티 플랜 브리지: 기존 ChatGPT Codex, Claude, ZCode(GLM), Qwen 구독을 하나의 루프백 프록시로 사용할 수 있습니다. 설정 페이지 상태 카드와 원클릭 프로비저닝을 제공합니다. dsh 코어 변경 없음.

DSH 스킬 관리자: 탐색, 활성화/비활성화, Codex/Claude Code/ZCode/WorkBuddy/QCoderWork에서 가져오기, 심볼릭 링크를 지원하는 스킬 자동 발견.

DeepSeek Harness plugin for model smart configuration & capability adaptation, ported from ZCode

Workspace checkpoints per tool call: records every file mutation inside the workspace (excluding .git and node_modules by default), including changes made by shell commands rather than by write/edit, and stores the previous content of each changed path in a content-addressed store kept outside the workspace. Restores have two modes — undo one record, or return to a point in time — with a line-level diff preview, a dry run by default, and a rescue record written before every restore so the restore itself can be undone.

Token usage statistics panel for DeepSeek Harness: usage trends, model breakdown and activity heatmap, hand-written SVG, zero chart libraries.

ZCode CLI app-server relay for DeepSeek Harness, with GLM streaming, image input and session reuse using an existing Start Plan login; requires the ZCode client.

Structured git tools for DeepSeek Harness agents: status, diff, log, branch, commit and stash. Output is pinned with ten `git -c` overrides so a user pager, colour or quotepath setting cannot reshape what the agent reads; every invocation is an argv array, so no shell ever parses an argument; and the mutating actions go through the harness approval service, refusing rather than proceeding when no approval service is mounted.

Multi-instance ComfyUI orchestration: probes every configured ComfyUI endpoint for its GPU, free VRAM and queue depth, then dispatches a generation job to the idlest eligible instance. Ships three tools (comfyui_farm_status, comfyui_farm_pick, comfyui_farm_run). An instance is eligible only if it is reachable, has at least the requested free VRAM, and its queue is no deeper than the configured ceiling; eligible instances are ranked by free VRAM minus queue depth times a weight, so an idle shallow queue wins over a busy large one. Zero runtime dependencies. Optional retry on probe failure, because a single timeout across an SSH tunnel is not proof that an instance is down.

Long-term memory for DeepSeek Harness, read-only as of 0.1.0: a scribe_recall tool that reads a plain-markdown memory room, path rules that refuse directory traversal, Unicode smuggling and NTFS alternate data streams, and a bounded index whose truncation is always reported rather than silent.

Rapid-refill circuit breaker for DeepSeek Harness automatic compaction. It refuses a compaction that would be futile — the context refilled within fewer than N tool turns M times in a row, which the unbounded step-pressure trigger cannot detect — and instead of burning a summarization call on every step it reports the situation with advice, usually that a single read or tool output was too large. Shows state and re-arms through /compaction-breaker, and injects one prompt section so the model relays it to the user. Covers host-plane sessions through its profile bundle; ordinary sessions need one row replaced inside an agent preset.

Make the model believe it is inside the Z.ai Code (Zhipu ZCode) agent environment: replaces the harness identity opener and injects a ZCode rules skeleton with a dynamic project section. 让模型认为自己处于智谱 ZCode Agent 环境。