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Adds a Screen-sense submenu (turn on, turn off, and an interval of 15, 30, 60 or 120 seconds) to the dsh-pet desktop right-click menu, forwarding each choice to dafeiyu-screensense. dsh-pet exposes no menu extension point, so this plugin appends a marked patch to its renderer.js after backing the original up to renderer.js.dafeiyu.bak; the patch is idempotent and is re-applied when dsh-pet is reinstalled.

Locks the model's reasoning, replies and tool-call descriptions to a chosen target language (Simplified Chinese by default) with system-prompt sections at the head, middle and tail of the prompt, offering three strength levels, an auto mode that follows the DSH interface language, a settings panel that shows the language currently in effect, and a sidebar quick switch.

GitHub project search and analysis: describe your idea in one sentence and the agent searches GitHub for related projects, ranks them by relevance weighted with stars, and returns a structured card — last updated, relevance, stars, weighted score, language and a one-line description for each project. Pick a few repositories and it reads their README, dependency manifest, directory tree and key files to lay out their architecture — so you stand on the shoulders of giants before you start building.

Xiaohongshu, Douyin, TikTok, YouTube 또는 X 링크를 텍스트로 변환합니다: 타임코드가 포함된 대본, 화면 텍스트, 설명 및 모든 이미지의 OCR, 캡션과 메타데이터. 호스팅된 MCP 서버를 streamable HTTP로 마운트합니다.

채팅 영역에 사는 픽셀 컴패니언: 알에서 부화해 3종 스프라이트 또는 텍스트 설명으로 LLM이 그린 사용자 지정 1종이 됩니다. 메시지 버블 위로 스스로 플랫폼 점프하고, WASD로 조작할 수 있으며, 이미 구성한 모델로 캐릭터답게 대화합니다. 실제 토큰 사용량에 연동되는 육성 시스템(기분/파워/건강, 레벨, 상점)을 갖추었습니다.

Web GUI에서 텍스트 전용 DeepSeek를 위한 네이티브 이미지 첨부: 붙여넣기 또는 드롭한 이미지가 세션에 썸네일로 표시되며, 디스패치 전에 호스트가 무료 Zhipu GLM-4V-Flash 비전 API(glm-4v-flash 폴백 체인)로 읽고 설명으로 대체합니다. 따라서 원본은 기록에 보관된 채 DeepSeek가 이미지에 대해 답변합니다.

텍스트 전용 모델을 위해 DeepSeek 웹의 내장 비전 모드를 재사용합니다: deepseek_vision 도구가 로컬 deepseek-vision-cli 브라우저 자동화(수동 로그인 도우미, deep-think 활성, 브라우저 자동 종료)를 구동하고 이미지 설명을 텍스트로 반환합니다.

给 DeepSeek Harness 工具加上模型填写的步骤说明

Search field on the DeepSeek Harness Plugins page that filters the installed and official plugin cards as you type, matching each card title, description and package name; space-separated keywords must all match.

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

Ships a skill about writing DSH skills - SKILL.md frontmatter and root precedence, how to phrase a description so it actually triggers, length and splitting rules, and an A/B check that the finished skill changes agent behaviour. The package also carries the checker the skill uses to validate a skill directory.

Searches a database of past motor-repair cases by fault description, motor rating and brand, and lets new diagnoses be saved back for future retrieval.

Three independent language channels for model output — tool-call descriptions (every tool-call card title, including run_code in PTC-style presets), thinking, and replies — each set to follow the web GUI language, force a specific language, or turn off (default: only descriptions, following the GUI). One global runtime-context prompt directive on the host; the client half reports the GUI language; a Settings plugin card switches the modes.

명시된 필요 사항을 플러그인 선택으로 변환: 전체 `dsh-plugin` 토픽 카탈로그(2600개 이상의 저장소, 6시간마다 재크롤, Workers AI의 중국어 설명)를 순위화된 검색 API를 통해 쿼리한 다음 일치하는 `dsh plugin add` 명령을 반환하는 에이전트 스킬

`describe_image` 도구: opencode Zen API를 통해 이미지를 mimo-v2.5로 보내는 비전 브리지(자격 증명 `OPENCODE_GO_API_KEY`, 무료 라우트 우선 + 유료 폴백)로 텍스트 전용 모델에 설명을 돌려주며, SVG/TIFF/HEIC는 네이티브 패스스루와 ImageMagick 변환을 지원합니다.

텍스트 전용 DeepSeek Harness 에이전트용 자동 탐색 비전 브리지: 설정된 제공자에서 이미지 지원 모델을 자동으로 찾아 비전 도구로 사진 설명을 평문으로 반환합니다.

비전 증강 DeepSeek 어댑터: 비전 지원 모델이 이미지 입력을 설명하고 텍스트 전용 DeepSeek 모델이 그 설명을 추론합니다.

컴포지션에 한 줄만 마운트하면 Web 설정 플러그인 목록 페이지의 모든 플러그인 카드에 이중 언어(zh/en) 설명이 표시됨; 다른 플러그인이 자체 설명을 등록할 수 있도록 pluginDescriptions 서비스도 제공

Bundles the 32 gis/ skills of opengis-skills (GDAL, QGIS, GeoServer, PostGIS, PROJ, PDAL, GRASS GIS, JTS, GeoPandas, Shapely, CesiumJS, OpenLayers, Leaflet, deck.gl and more) into the DSH skill catalog; only names and descriptions appear up front, and instruction bodies plus reference documents load on demand.

Shows what each installed skill costs in the model context and hides a skill from the catalog without deleting it. Lists every skill found on disk with the exact catalog line the model receives (description normalized and truncated at the catalog cap), its body size and token estimate; previews the catalog message byte-for-byte as the agent will receive it, compares that with the copy already published in the current session, and reports skills on disk that never reach the catalog (invalid frontmatter, or shadowed by a higher-priority root). Hiding writes disable-model-invocation into frontmatter and keeps the file, so the skill still works via /name. Also imports skills from ClawHub, Skills.sh and GitHub URLs and uninstalls user-owned ones.

Sorts every loaded skill into one or more user-owned workspaces in a right-sidebar tab: each workspace is its own category list plus where every skill sits, categories are created, renamed, reordered and deleted in place, and skills are dragged or picked between them. A first run can let the profile model build the first classification, or place skills into categories the user built first; clicking a row copies its /skill-name and hovering unfolds the description the skill ships.

Structured image recognition: local sharp measurements plus a cloud vision model return description, OCR with coordinates, object locations and fine-grained attributes in one call; a fingerprint cache makes repeated images return in milliseconds without spending model quota.

Renders installed DSH plugin titles and descriptions in Simplified Chinese: at startup it translates the plugins the local JSON cache lacks through the harness LLM service, then projects { en, zh } metadata for resolveText() to render — no DOM changes, no third-party API.

Tool-surface snapshot and drift gate: baselines the full visible tool registry (name/description/parameters, MCP tools included) into a committable JSON file and warns loudly when an upgrade adds, removes or reshapes a tool.