Plugins

给 AI Agent 的中文互联网研究 Skill：检索 8 大平台最近 30 天的讨论，追踪跨平台热点，生成附原始来源的报告，并提供每日全网热榜。支持 Claude Code、Codex、OpenClaw。

Paste a link; the agent reads it. Xiaohongshu, Douyin, Bilibili, WeChat, articles, PDFs and audio become citable Markdown for a wiki or knowledge base. On 60 turns with vs without: finishes reading 22% -> 92% (+70 points), times out 68% -> 0%, answer quotes a real source fact 23% -> 82% (the A/B is exploratory: different time caps, no human correctness review). On 123 live links 80% came back usable (93% of the pages that answered); an unreachable link reports in 26 s. Codex, Claude Code, DSH.

DeepSeek Harness 自媒体工作台插件：一句话记灵感，一键生成脚本、封面、配图和分镜

Persistent enhanced web search: multi-engine routing (DeepSeek/Exa/DDG/Bing/Jina + GitHub/Bilibili/YouTube/V2EX/Xiaohongshu/Twitter/Reddit/RSS), SQLite+LRU cache, userscript-style extraction, Playwright rendering.

Search 65,600+ API docs from 20 Chinese open platforms through five read-only tools and a runtime skill.

Multi-platform research and deep search pipeline: harvest_scout for parallel discovery across GitHub, Web, Twitter, Reddit, Xiaohongshu, Bilibili, and YouTube, harvest_deep_research for automated comprehensive research reports, plus extract, cross-source verification, and credibility auditing.

Drives a real Chrome through a local MCP server so the agent can search Google/Bing/Sogou, read any page including JS-rendered and login-only content, automate click/scroll/type/key-press/select in a background window, and run platform search/detail/comment/download for Zhihu, Xiaohongshu, Douyin, Bilibili, X and Reddit; resumable comments, SHA-256-verified downloads, cookies never returned, localhost only.

Bundles 19 short-video production skills (1 entry point, 1 orchestration, 17 atomic) into the agent skill catalog: Chinese TTS pronunciation fixes, text-to-image and text-to-video, image panning, composition, covers, media verification, data review and four-platform publishing. Ships skills and scripts only, so a runnable pipeline still needs ffmpeg, Python 3 + Pillow, Node.js and playwright installed locally, your own Bilibili biliup credential and WeChat Channels / Douyin / Xiaohongshu login states, and the placeholder values under skills/*/scripts/ filled in with your own. An installer's own skill of the same name keeps precedence.

Detect and download media from Bilibili/YouTube/Douyin/Xiaohongshu with quality and format analysis.

Turns a Xiaohongshu, Douyin, TikTok, YouTube or X link into text: transcript with timecodes, on-screen text, a description and OCR of every image, caption and metadata. Mounts the hosted MCP server over streamable HTTP.

Bundled Xiaohongshu/RED viral-note agent skill: hot-note research, note generation/rewrite, verification, authorized account analysis, QR login and controlled publishing.

Download watermark-free Douyin and Xiaohongshu videos, transcribe them with local or cloud speech recognition, proofread the text against a term list, and export Markdown, DOCX, SRT, VTT and other formats from a settings panel or agent tools. Needs Python 3.10+ with pip packages (playwright, python-docx, numpy, and sherpa-onnx for the default local SenseVoice engine, which also downloads a ~228 MB model on first use), ffmpeg on PATH, and Chrome or Edge.

Reads a local video or page link with ffmpeg and Paraformer ASR, returning a timestamped transcript plus key-frame images the agent can open; finds candidate videos by keyword and installs its own runtime dependencies on first use. Requires Python 3.8+ on PATH; video_discover also needs a one-time douyin/xiaohongshu login.

Connects DSH to local Beav for Xiaohongshu (RED/RedNote) and social-media AI operations: topic research, knowledge, copywriting, image, audio, and short-video workflows with approval and artifact tracking.

DSH bundle plugin: 内容创作与多平台分发 —— 桌面截屏/录屏、Markdown→小红书图文卡片（5 配色 × 4 版式、照片插图、背景图）、dev.to 官方 API 发布、发布前人工审阅（草稿落盘），并挂载 Playwright 与小红书 MCP。

Read Xiaohongshu recommendations, browse Baidu Tieba threads and nested replies, and quote posts when replying on NGA from DSH workspaces.

Six-step video-replica workbench: fetches a Douyin/Xiaohongshu/WeChat Channels/Kuaishou/Bilibili share link or a local file, breaks the source into shots with a vision model and optional ASR, writes three A/B/C storyboards, generates a first frame and a clip per shot, then stitches the final video with optional TTS narration, burned-in ASS subtitles and BGM. Needs Node 22.18+/24.11+, ffmpeg and ffprobe on PATH, and configured vision/chat/image/video model endpoints; share links go through a third-party parser service (or yt-dlp), or upload a local file.

Adds a four-part reply-formatting contract to the system prompt, so every answer is laid out like a Xiaohongshu post: a conclusion-first hook, a star-rated comparison table, emoji-headed bullets with four to six concrete steps or numbers each, numbered sections grouped by entry threshold, images that each carry a caption and one source link, and a banned-word list covering nickname terms, hype words and marketing catchphrases. Code, commands, paths and formal documents keep their original formatting. Host-only static prompt section: no config, no client UI, no dependencies.

Pulls the bookmarks of X, YouTube, Reddit, Bilibili, Zhihu and Xiaohongshu into one DeepSeek Harness panel: a daily three-item review page, filters by platform, folder and role, and one-click export to Obsidian, Reminders or Calendar. Collection runs through the opencli browser extension, so it needs Chrome with that extension installed and logged in.

DeepSeek Harness plugin: /favorites exports your own Douyin and Xiaohongshu web collections to Markdown using a logged-in browser session

Publish size check skill: verifies a deliverable's geometric specs against a target platform before publishing - pixel dimensions, aspect ratio, dpi, file size, format, physical print width and colour mode. Geometry only: it does not review content compliance (QR codes, text-to-image ratio, copyright and prohibited content are out of scope). Pure Python standard library, no third-party packages, and inputs are never modified. Python 3.8+. Covers 10 platforms and 20 slots with per-platform confidence labels - WeChat MP, Xiaohongshu, Bilibili, Zhihu, Weibo, Douyin, WeChat Channels, journal submission, print and client delivery - and resolves a platform by id, Chinese name or alias with fuzzy matching. Two trigger modes: asked directly, or as a parasitic self-check that runs by itself once an image, poster, chart or export workflow has written a file and the user mentioned a publishing target, reporting in one line when everything passes and only expanding when something is wrong. For journal submission and print it judges by physical width (pixels / dpi), which catches files whose dpi metadata passes but whose actual printed size is too small; for multi-image posts it checks whether the whole set is consistent and names the odd one out rather than listing every file.

Requires Python 3.12+; Xiaohongshu reading needs the xiaohongshu-mcp backend and a QR sign-in (ffmpeg/OCR optional). Batch-read Xiaohongshu notes and WeChat public-account articles: per-note body, image text via local OCR, video frame text and comment samples, structured JSON/Markdown output, and the original source URL on every result. Read-only: it never publishes, likes, follows or comments.

Trip planning workspace for DeepSeek Harness: a map page with day-by-day stops, roam_* tools that draft, review and adopt an itinerary, and optional MCP sidecars for rail tickets and Xiaohongshu notes.