Plugins

Five tools for reading a video as raw material rather than as something to watch. video_outline maps a whole file as text and draws nothing at all: 4-60 equal windows, each with its cut count, speech share, intensity bar and tags, then the windows worth opening and the exact start/end for the call that follows -- zero image tokens. video_probe returns metadata and a reading plan without decoding frames. video_storyboard turns a window into one contact sheet plus a text index binding every cell to its timecode, cut count and frame time; cells whose text would be illegible at that scale are marked zoom, and dedupe global folds a picture that comes back after a cut. video_zoom re-renders 1-9 cells from a short window at a larger scale. video_read decodes only keyframes, OCRs each screen, and returns an outline plus \[mm:ss] text -- the path for lectures, slide decks and screen recordings, where the words are the content. It also reads a file with sound and no picture as a transcript (subtitle track, then DSH_ASR_CMD, then a transcript file you pass; long audio is cut at 45 s onto silence), composes six changed frames into one sheet when a file has no readable text at all, and can write the result out as SRT, WebVTT or text. Cuts, dissolves and one-frame flashes are found in a single ffmpeg pass; from ten minutes up a file is analysed on its keyframes only, 2.7x faster on a two-hour lecture; and a cell is never shrunk below a fifth of the source, so a 1440p sheet spends the same tokens on fewer, bigger cells. OCR is the engine Windows ships, tesseract with line boxes, or DSH_OCR_CMD. It takes a B station link (bilibili.com/video/BV..., a bare BV id, an av id or a b23.tv short link) wherever it takes a file: up to 300 seconds is read from the CDN in place with nothing written to disk, longer videos are downloaded once and cached within a 4 GB / 24 video budget, play URLs are cached for ten minutes, and a link that is not a single video says what it is. Needs ffmpeg, uses ffprobe when present, and has no other runtime dependencies. It is a wire-compatible reimplementation of SAOS-3624/dsh-video-storyboard: it registers the same video_probe / video_storyboard / video_zoom tool names, so the two cannot be enabled together.

DSH plugin bundle: workflow skills, engineering presets, independent better-goal / better-subagent / better-compact / better-ask-user integration, and a minimal job exit guard. Pure ESM, no build step.

Run your RunningHub ComfyUI workflows from DSH to generate images, video and audio, with a workflow setup panel, background tasks and multi-key management.

Full-screen boot animation covering the loading page until the app UI is ready. Ships a built-in video/wallpaper/audio library, accepts your own files, and adds uninstall and one-click update buttons on its settings page.

Build your workflow on an infinite canvas — text, design, app, image and video cards wired together on DeepSeek Harness.

Agnes image and video generation for DeepSeek Harness: two agent tools, an AI prompt optimizer, and a sidebar panel whose API key is entered in the panel and never shipped in the code.

WeChat (Tencent iLink / ClawBot) channel for DeepSeek Harness: QR-code login, two-way text, image and file messaging, slash commands in WeChat including /cwd and /skills, approval and question cards answered from the chat, and reply sending that splits over-long answers and backs off on rate limits instead of dropping them. Only the account that scanned the login is admitted by default; messages from anyone else are ignored.

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.

Reuses the sign-in already held by the local Doubao desktop app as a DeepSeek Harness model provider — chat, Seedream image generation, and a live quota panel covering the 5-hour, weekly and activity-grant windows, showing what is LEFT rather than what is used. Windows x64 only, since the credential is decrypted with DPAPI.

Right-click any file reference in the chat to open it, open it with an associated application, reveal it in the file manager, copy its path or contents, and save it.

Cross-session usage and cost observatory for DSH — token trends from hourly lines to 90-day and 1-year heatmaps, per-model DeepSeek peak/off-peak pricing reconciled against the official balance, GLM/Kimi/MiniMax subscription-quota windows with burn-rate forecasts, cache-hit ring, project rankings, CSV export, and a dsh-tui terminal face.

Image generation through a local ComfyUI server: one generate_image tool covering text2img, img2img, inpaint and background removal.

Local Markdown notes as governable working memory for DeepSeek Harness agents: dual-mode source/WYSIWYG editor with images, convention or reference notes auto-inject into the system prompt with sensitive values masked, plus snapshot version history, recycle bin, undoable archiving, AI reorganization, backlinks and full-text search. Compatible with DSH 0.1.7-0.2.x.

Wallpaper skin for the DSH Web UI: image background with opacity, mask and blur controls.

Skill that fact-checks a claim against the open web rather than model memory: it splits the claim into independently checkable fact points, routes each point to the primary-source ladder for its domain (policy, academic, medical, financial, disaster and accidents, food safety, science, education, sports, entertainment, judicial, and more), searches domestic and international ecosystems in parallel, fetches primary pages, grades sources by type, re-searches with debunking keywords, and reports conclusion-first with a full URL and citation position behind every statement, keeping unverified and undecidable points separate from confirmed ones. Three factual judgements can be routed to a TypeSafe Jev (System One) decision model when a key is configured, falling back to the skill's deterministic rules when it is not; a model verdict can only lower a confidence tier.

Plan-usage pet for the DSH web GUI: a floating skeletal-animated character reports quota in a speech bubble, auto-matching the configured provider (OpenCode Go, Command Code, DeepSeek) to show a plan percentage or an account balance, and falling back to local token stats when the provider API is unavailable; draggable, wheel-scalable (90-260px), synthesized click sounds, loopback-only routes.

Drive a local DeepSeek Harness agent from QQ and other IM channels through AstrBot: send tasks with /dsh, continue by quoting or @-mentioning the bot, answer approvals and ask_user_question prompts from chat (in parallel with the DSH web UI), and get results, inline images and file cards back. Ships session / workspace / model / permission commands, /compact and /last recovery, three progress-display modes, and group-shared or per-user session scoping.

Cross-session TODO board as a draggable floating panel: tasks are grouped by working directory and reorderable by drag, each one carries a run mode (remind only, continue in the current session, or open a new session in the same directory), up to four attached images sent to the model as real image attachments, and an optional local time it may run at; two checkboxes track AI-done and user-verified, and the agent picks up the next unfinished task in that directory when it finishes one.

Fills missing context window, max tokens, thinking levels, and image input on custom DSH models from models.dev, and lists unmatched models for manual edits.

A Mimi desktop companion for DSH that follows work-session states with animated reactions and bubbles, provides a separate chat mode, and bundles Windows Computer Use for observing and controlling desktop windows.

Dispatch subagents with named profiles (model, reasoning effort, and tool scope per task), safety checks, cost estimation with savings comparison, and a full dispatch decision ledger.

Agnes AI image and video generation plugin for DeepSeek Harness.

Customizes the native settings window: preset or custom window sizes, fullscreen, background transparency, and theme, solid-color, or image backgrounds, with a floating ball for quick access; saved in the local browser.

Image previews for DSH sessions: read_image thumbnails plus user, assistant, Markdown and present images in a lightbox with zoom, rotate, pan, download, sidebar and native file actions.