Plugins

Dichte, transluzente Universal-Palette im Glasstil für DeepSeek Harness Web: vereint Commands, Models, Sessions und Conversation Hits mit deterministischer Rangfolge und geprüfter Interoperabilität über öffentliche Verträge.

Wechselt neben der Modellauswahl von DeepSeek Harness mit einem Klick die Suchmaschine. Ändert den Anbieter `dsh-free-search` und ist praktisch in ausländischen Hochschulnetzen, die den DeepSeek-Official-Suchendpunkt blockieren.

Offline-Suche in einem deterministischen öffentlichen API-Katalog für DeepSeek Harness, mit chinesischen und englischen Anfragen sowie exakten Filtern für Authentifizierung, HTTPS, CORS, Status, Quellenstufe und Kategorie.

Adds a reasoning-effort rail above the DSH composer: drag or use the keyboard to preview and submit the levels the current model exposes (Off through Max), while a procedurally rendered micro-universe contracts and collapses into a black hole as effort rises. Levels go through the DSH model-selection interface, so the rail shows the level DSH confirms, and the plugin writes only to $DSH_HOME/stellar-effort/.

Typing companion with five characters and composer following. This entry installs the universal page package (page mode only); the optional Rust desktop mode for macOS and Windows ships in the platform-specific release packages (darwin-arm64, darwin-x64, win32-x64).

Daily check-in for Nanjing Forestry University's ACM AI Hub plus seat booking for its library — both site addresses are hardcoded — with a settings page and a progress badge; built for DeepSeek Harness Mobile (DSHM) on Android.

Measures one university department's research output: matches author affiliation strings against a college's known name variants (detecting same-named departments at other universities), backfills papers that only name the university by faculty author IDs, classifies each paper by journal tier (CAS partition with Top flag, JCR quartile, CCF, Chinese core via a CNKI export merger), splits staff from student first authors, and writes a workbook with a dashboard sheet, a filterable paper list, a teacher-by-direction matrix and per-teacher statistics. Student authorship is inferred from affiliation and staff lists, not verified against enrolment records. Requires Python 3.9+ with pandas and openpyxl (pip install -r requirements.txt); papers come from the OpenAlex API, whose free per-IP quota is limited, and Chinese-journal coverage needs a manual CNKI export.

Manages the lifecycle of the local UM GenAI proxy (127.0.0.1:8788) that DSH's um-genai provider talks to: wakes it on demand for llm/stream calls, stops it after an idle period, and reports health plus a read-only status endpoint. Also ships a DSH settings page for port, always-on mode, idle minutes, interpreter and paths, plus the UM account and proxy API key, and a button that writes the providers.um-genai entry into the profile patch and fills in its model list, since a fresh profile has no provider and the model picker would otherwise stay empty. A renewal watchdog logs in to the campus gateway on a hidden Windows desktop when the upstream token expires. The proxy itself is um_opencode_setup.py, a single-file tool distributed by the University of Macau; a copy is vendored in vendor/ so a fresh install works out of the box, while a copy in ~/.um-opencode/ takes precedence when present. The plugin still does not produce tokens: those come from logging in to the campus gateway. Requires Windows (process discovery and idle shutdown use netstat/taskkill; renewal uses PowerShell and a hidden desktop), Python 3.10+ and a University of Macau account.

Ergänzt einen Reasoning-Effort-Regler im DeepSeek-Harness-Modellmenü, auch für Anbieter und Modelle ohne deklarierte Effort-Metadaten. Basiert auf Microqian2th/dsh-codex-effort-slider; dieses Upstream-Plugin vor der Installation entfernen.

Lokale Videofarbkorrektur mit kamerangepassten DJI-Log-LUTs, getrennten Lichtern/Schatten, optionalen Haut- und selektiven Farbreglern, Frame-Vorschau und 10-Bit-HEVC-Export. Das hier gelistete Universal-Tarball enthält kein Runtime: Die Schaltfläche „configure environment“ lädt beim ersten Start per HTTPS ein festgelegtes Runtime (Python 3.12 + FFmpeg 9, ~100 MB) oder nutzt eigenes Python 3.10+ und FFmpeg/ffprobe 8+. Plattform-Releases bündeln das Runtime.

Host-Plugin für den macOS-Menüleistenbegleiter: Live-Status von DeepSeek-Harness-Sitzungen, Approve/Deny für Toolfreigaben, aktuellen Turn stoppen und genau diese Sitzung öffnen. Die native App ist ein kostenloser Universal-Build in GitHub Releases.

Universeller MCP-Apps-Host und UI-Plugin für DeepSeek Harness (DSH).

Universelles IntelligentEyes-Agenten-Vision-Gateway für DeepSeek Harness.