Plugin

Universal Palette in vetro traslucido e denso per DeepSeek Harness Web: riunisce Commands, Models, Sessions e Conversation Hits con ranking deterministico e interoperabilità verificata tramite contratti pubblici.

Cambia motore di ricerca con un clic accanto al selettore di modelli di DeepSeek Harness; modifica il provider `dsh-free-search` ed è utile nelle reti universitarie estere che bloccano l’endpoint di ricerca DeepSeek Official.

Ricerca offline e deterministica in un catalogo di API pubbliche per DeepSeek Harness, con query in cinese e inglese e filtri esatti per autenticazione, HTTPS, CORS, stato, livello della fonte e categoria.

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.

Aggiunge uno slider di effort di ragionamento al menu modelli DeepSeek Harness, anche per provider e modelli senza metadati di effort dichiarati. Basato su Microqian2th/dsh-codex-effort-slider; disinstalla il plugin upstream prima di installare questo.

Color grading video locale con LUT DJI Log abbinate alla camera, alte luci e ombre indipendenti, controlli opzionali per pelle e colore selettivo, anteprima frame ed export HEVC a 10 bit. Il tarball universale indicato non include runtime: al primo avvio “configure environment” scarica via HTTPS un runtime fissato (Python 3.12 + FFmpeg 9, ~100 MB) oppure consente di usare Python 3.10+ e FFmpeg/ffprobe 8+ propri. Le release con suffisso piattaforma includono il runtime.

Plugin host per il companion della barra menu macOS: stato live delle sessioni DeepSeek Harness, Approve/Deny per approvare strumenti, arresto del turno corrente e apertura della sessione esatta. L’app nativa è una build universale gratuita su GitHub Releases.

Host universale MCP Apps e plugin UI per DeepSeek Harness (DSH).

Gateway di visione universale IntelligentEyes per agenti DeepSeek Harness.