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低成本视频理解工具:B站链接/BV/本地视频 → 信息层(ASR+场景+对象轨迹+YOLO)→ 摘要+问答。问题驱动动态路由分层(L0/L1/L2)、语义层复用、预算上限。采用 Python 引擎:核心层需 faster-whisper / opencv / yt-dlp(约 200-300MB),可选语义层另需约 2GB 的 torch / transformers / ultralytics,内置 doctor --fix 一键建 venv 并装齐两者。
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DSH host plugin: cuts tool-call latency by auto-downgrading reasoning_effort for simple tool tasks, with per-tool timing telemetry.
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See what your AI agent protected: session security receipts, visible data provenance, task boundaries, and tool identity checks for DeepSeek Harness.
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Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
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Telegram Bot API bridge plugin: relay Telegram chats to harness agent sessions (long polling, per-chat sessions, HTML formatting)
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Cross-platform desktop shell for DeepSeek Harness
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SpecWave — multi-host coding CLI (Cursor / Claude Code / DSH / agents) + P0 gates & Harness process track. Spec-driven discipline: mechanical gates (exit 2), S2 audit trail, hat roles. Formerly SpecGate / dsh-coding-kit. npx spec-wave
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DSH 原生多平台调研流水线插件:harvest_scout(多平台发现)/harvest_deep_research(深度研报)/harvest_extract(穿透抓取)/harvest_verify(交叉验证)/harvest_audit(可信度审计)。源于自研 omni-scope 方法论,自包含。
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DeepSeek Open Platform balance and session consumption readout (host + web client)
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DSH performance plugin: llm/stream chunk coalescing (regular) and experimental trajectory-view replacement / chat rendering hints / runtime row management, with a Settings -> Plugins config card.
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DeepSeek Harness (dsh) web plugin — Codex-style attachment expansion: PDF text-layer (pymupdf4llm/pdfjs), Office (docx/xlsx/pptx) to Markdown, TIFF/epub/odt/rtf, long-document spill to index cards, scanned-PDF OCR (tesseract.js + 8 cloud providers inc. DeepSeek Vision), and browser image to PNG. dsh-plugin for the DeepSeek Harness Web GUI.
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A2UI interactive cards for the dsh web UI: the agent renders clickable interfaces (quizzes, forms, product cards) via @ant-design/x-card, and user interactions flow back to the agent as answers.
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DSH plugin: pipes oversized command output through the external rtk CLI and hands the model RTK's condensed output instead of the raw text (a tools/post-execute result transformer).
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Popup-on-open + periodic reminder to save DSH session logs, with in-popup interval (10min-3h), backup folder & format (fish=raw .zstd / human=readable .txt) settings and one-click incremental copy. / 打开 Web 即弹窗 + 定时提醒保存 DSH 会话日志,弹窗内可设提醒间隔(10分钟-3小时)、备份文件夹与格式(鱼话版=原始压缩 / 人话版=可读聊天记录),一键增量复制。
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dsh网页端网络优化(已废弃):DeepSeek Harness ≥0.1.2 官方已内置 gzip 压缩、client bundle 内容寻址缓存与自动重连;本插件仅适用于 dsh ≤0.1.1-rc.2 的旧版。
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A DeepSeek Harness (dsh) bundle: when `dsh web` is ready, print the full GUI URL and open it in your default browser. Cross-platform, dependency-free, fail-safe.
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API 用量/费用/余额仪表 — DeepSeek Harness 网页插件:按钮式用量条实时报价并显示余额;面板含按模型堆叠柱状图(当日逐小时×峰谷档位、官方调价按生效区间计价)、官方账单(platform.deepseek.com 今日/本月真实扣费)、消耗段位与梁祖分享卡片、上下文压力预警 + 一键压缩、预算提醒与检查更新/一键更新,并持久化跨会话账本。
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Use your ChatGPT subscription in DeepSeek Harness to access Codex models and generate or edit images with gpt-image-2—no OpenAI Platform API key required.
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Persistent per-model thinking-level settings for custom DSH providers (official dsh client-plugin form)
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A multi-platform IM gateway for DeepSeek Harness (dsh) — Feishu (Lark), WeCom (WeChat Work), and Telegram, with a visual settings card in the web GUI. Turn your dsh agent into a chat assistant reachable from the messaging apps you already use.
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Cross-platform Web UI launcher plugin for DeepSeek Harness: webui_start/stop/status/open model tools, a /webui slash command and a Settings-page launch card.
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Offline QR code generator for DeepSeek Harness (dsh): pure-JS, no network, no shell, cross-platform. Model tools (qrcode + barcode) with SVG/PNG/ASCII output.
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Professional translation plugin for DeepSeek Harness: 18 target languages, 4 styles, glossary control, and whole-file translation (README/docs/subtitles) with format preservation. Powered by DeepSeek via SiliconFlow.
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DSH 参考文献工具插件:cite_lookup/cite_format/cite_bibtex/cite_check/cite_health 五工具(含自检),Crossref 元数据查询(含 DOI 精确解析与并发校验),GB/T 7714 / APA / MLA / Chicago 格式化,零运行时依赖。