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DSH Web selection-annotation plugin: select assistant text, annotate (optional), and press Enter to send the annotation block with your message — the model replies to each annotation by number, with hoverable chips in the reply.
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DSH Web selection-annotation plugin: select assistant text, annotate (optional), and press Enter to send the annotation block with your message — the model replies to each annotation by number, with hoverable chips in the reply.
Skill
Argo 阿尔戈 — 统一搜索与证据核验。多语言检测与跨语言回退;约 120+ 引擎 TF-IDF 路由 + RRF;影视/体育/地理/组织/媒体/金融/宏观/化学等垂直源;垂直结构化模态卡(火车票/油价/贵金属/万年历/星座/手机/汽车/挂号);日常 combo 预算与深度研究 boost;recovery 防污染;Selection×Absorption;MCP(含 argo_local_search)。入口:install.sh / npx github:taxueseek/argo / mcp_server.py。
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A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, live per-task cost, prices and context windows.
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LLM-as-a-Verifier for DeepSeek Harness: fine-grained reward, Probabilistic Pivot Tournament best-of-N selection, and per-step progress tracking as agent tools.
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ChatGPT-style text selection helper for DeepSeek Harness: select text in a conversation and a floating 「询问 DeepSeek」 button appears; click it to quote the selection into the composer.
Agent preset
A DeepSeek Harness (DSH) agent preset for institutional multi-factor stock-selection research: methodology knowledge base + zero-dependency factor statistics.
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API Key rotation pool for DeepSeek Harness: multiple keys per provider, weighted round-robin selection, automatic failover on 401/429/403, cooldown and recovery probing, usage statistics.
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选区引用与锚点批注:在 DSH 会话中选中文字 → 批注 → 引用锚点 chip(点击跳回原文、悬停显示原文)→ 提交序列化为结构化引用块。
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DSH web plugin: Codex-style side chat (fork the current session into a persistent side panel) + selection annotations with numbered badges and a composer chip. A thin consumer of dsh-better-sidebar. / Codex 风格侧边聊天 + 划选注释的 DSH 插件。
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DSH composer model seat with accessible per-provider collapsible groups.
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Aggregate and natively control DeepSeek Harness sessions across multiple remote dsh web servers from one pane: server registry, merged session list, history, prompt, cancel, rename, fork, model selection and approval/question answering.
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DSH web client plugin: select text in a chat message and quote it into the composer as an inline reference chip; the full text materializes on submit via the input-trigger reference codec.
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Best-of-3/5 orchestration and LLM-as-a-Verifier selection for DeepSeek Harness
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dsh plugin + agent preset that replicates opencode + oh-my-openagent (omo): opencode's toolchain and system prompt, omo's multi-role subagent orchestration, and browser-side omo role selection + per-role model/fallback settings.
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Codex-style multiple independent selection comments for DeepSeek Harness (DSH).
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Claude Code integration plugin for DeepSeek Harness, providing native Claude conversations powered by the Claude Agent SDK, with model selection, approvals, questions, tools, and session continuation.
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Web-switchable agent loop engine selection for the DeepSeek Harness - out-of-tree plugin (Claude Code / Codex / Pi / Kimi Code drivers) maintained by @kuun993, zero main-repo changes
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Selection quoting for the dsh web GUI: a toolbar over selected assistant text that attaches the selection to the composer as a removable quote banner, prepended to the outgoing message at send
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DSH Web selection-annotation plugin: select assistant text, annotate (optional), and press Enter to send the annotation block with your message — the model replies to each annotation by number, with hoverable chips in the reply.
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GPU-aware execution layer for DeepSeek Harness: gpu_status / gpu_exec / gpu_run_bg tools, per-step GPU context injection, automatic CUDA_VISIBLE_DEVICES card selection
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Select text in a conversation to get a floating toolbar: copy, quote-reply, ask/explain/translate/summarize, and a /btw side-question console (context-only answers that never enter the conversation). AI actions reuse the current session by default, with a per-action main-thread/side-channel destination switch.
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Explicit model input-modality selection for the DeepSeek Harness Web UI
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DSH plugin: start/stop a local llama.cpp llama-server from the settings → plugins page — two model slots (A/B) with per-slot model-file selection, eight editable launch-parameter groups (text/vision × fast/long × 2 slots), and one shared DSH provider carrying both slots' models with four thinking-effort levels.