Plugins

Turns a video (a local file, or a Bilibili/yt-dlp link) into one addressable storyboard grid — numbered cells with exact timestamps, per-cell transcript and an audio envelope on the same timeline — and video_zoom re-reads any window at higher resolution, so a text-only model can look at the video instead of reading a summary.

High-performance fork of SAOS-3624/dsh-video-storyboard — install this or the upstream plugin, not both. Turns a video into addressable storyboard grids (numbered cells, a timestamp and transcript line per cell, audio envelope); needs Node 20+, ffmpeg/ffprobe on PATH, and a configured ASR endpoint when the file has no subtitle track.

Long-term memory for dsh via a local Hindsight service: each turn is retained with local timestamps and relevant memories (time-aware, reranked) are recalled into context before replies; each workspace binds to one memory bank, several workspaces can share a bank, and banks can have Chinese names; what gets retained is configurable (default: user messages and AI replies); history is imported only when you choose to; includes a three-step setup page with one-click local deployment (uv + Python 3.12), a sidebar status card and a panel to browse and search memories. Needs a SiliconFlow API key for the default embedding and reranker models; only Linux is verified so far.

One-line clock context for DeepSeek Harness: a Current time timestamp reading (weekday, date, time, UTC offset, IANA timezone) opens every conversation turn and a Turn ended reading closes it, so the model always knows the time, date and idle gap across turns without asking.

Fail-closed Feishu (Lark) channel bridge: chat with a bot, get dsh agent turns back — with opt-in human-in-the-loop tool approval (Allow/Deny cards before every bash call, fail-closed timeout). Official-Python-SDK-only integration (exact-pinned); deny-by-default allowlist, webhook signature/timestamp/replay verification, per-chat sticky sessions; daily latest-SDK compatibility canary; bilingual docs.

Live CNY cost of the current session under the composer, priced per assistant message by the model that produced it and the peak or off-peak window of its own timestamp, with a Settings page that edits the six prices of every model and marks a model with no rate card with a leading tilde because it is costed from the Flash rates.

Samples a video the way a person does instead of downloading it: metadata and chapters first, then timestamped frames as images, subtitle-first transcripts (local ASR only when the platform carries no subtitles), AudioSet 527-class sound tags and top comments — 21 tools sharing one on-disk cache behind a cross-process lock. Needs Python 3.10+, ffmpeg and the vidlens package (pip install vidlens-mcp); a missing install comes back with the two ways to fix it instead of a bare ImportError.

Model channel auto-enricher for DeepSeek Harness: eliminates manually configuring contextWindow, maxTokens, \[text, image] multimodal input, and {low, high, max} reasoning effort tiers model by model after adding a provider channel, with live auto-enrichment on save, a Settings UI page, and timestamped backups.

Pins each message's action row — copy/like/dislike/branch controls, timestamp, and third-party additions — so it stays visible without hovering.

Native DSH /side conversation tabs with a clean transcript and inherited context, hidden from the main session list using independent Session forks and the official chat UI, with timestamps, token usage, streaming and the command menu. Extracted from dsh-better-sidebar 0.29.0 (MIT); do not enable it alongside dsh-better-sidebar's own /side entry — the two command entries conflict, so stop one before using the other. Requires Windows DSH Desktop 0.2.1-rc.5 and dsh-delete-session for confirmed permanent cleanup.

In-chat image viewer for DeepSeek Harness: wheel and trackpad pinch zoom at the pointer, two-finger and drag panning, gallery navigation, downloads named from the image description and timestamp, and opening workspace originals in the system default app.

DeepSeek Harness (DSH) plugin: injects a bounded, timestamped snapshot of your local Second Brain (identity + state fingerprint + pointers) into every new session's prompt. Read-only, zero-write, fail-loud, zero dependencies. 第二大脑载入器：让每个新会话开局自带记忆快照。

Give DSH AI timestamped video frames, audio and lyric analysis for Bilibili, YouTube and local files, with encrypted browser-session import, continued viewing, saved site resolvers and native cache management. Requires FFmpeg and ffprobe on PATH or configured in the plugin settings.

Injects the exact current local time and the timestamp, day relation and recency gap of the previous user message into every prompt, and adds a /time command that prints the injected block.

One-click temporary tasks for DeepSeek Harness — each task is a disposable timestamped workspace plus its own session, shown as a native sidebar workspace node.

Agent billing and usage observability for dsh web: session-log direct-scan recording (zstd, per-event timestamps, watermark + lastSeq double dedup), multi-account rate profiles per provider and model, per-window live badge reading the window session id via React fiber, full glassmorphism dashboard with 14-day sparkline, budget alerts, relay-station balance queries and a 332-model official price library.

Adds a Long text button to the composer tool row: write or paste the body in an editor overlay, and on save it is written to <workspace>/.dsh-longtext/<timestamp>_<title>.md and an @ path reference to that file is appended to the composer, leaving the conversation free of the long text itself.

A conversation-view tab for DeepSeek Harness Web showing solar/lunar dates, ganzhi year/month/day, Chinese zodiac, 24 solar terms, festivals, China public holidays including make-up workdays, multi-city weather, an epoch↔date timestamp converter with a time-zone picker, and bundled offline "on this day" history from free sources without an API key.

Browse and govern the skill library from a floating-ball panel with three tabs — skills, call ledger and quick start. You choose the skill root yourself through a native directory chooser (defaults to ~/.dsh/skills, no path is shipped with the plugin); skills are grouped into two levels of categories, with manual, keyword-based and AI grouping available and a tree or flat view toggle, and grouping is purely visual so no skill file is ever moved. Descriptions are read from each SKILL.md frontmatter, search filters by skill name, description or original text, and a card opens the full SKILL.md. Skills can be switched on and off per card, per category or for the whole library — the toggle rewrites disable-model-invocation in that SKILL.md and writes a SKILL.md.bak-toggle-<timestamp> backup before saving, rolling back if the write fails; disabled cards grey out until restored. The call ledger separates automatic from manual entries, records skill successes and failures by listening to tools/result events, and reports call counts, success rate, trend and a ranking, reusing an existing ledger file found in the library. Hot reload picks up skill edits without a restart. The DSH settings page gains a floating-ball section that shows or hides the three balls, offers one-click restore of a ball dragged off-screen, and picks the shared 130-skin catalogue for all three balls.

Auto-wakes the main agent after a DSH service restart: compares last-run timestamps, posts a recovery notice with humanized downtime, and delivers it so interrupted work picks itself back up. Runs on plain cordis ctx, packaged-DSH-Desktop ready.

Security auditing and session forensics for dsh: full tool-invocation-chain recording (who/which tool/files/timestamps), redacted playback, and rule-based scanning.

Connects DSH to timestamped video reading, shared queues/history and Scroll personal Bilibili workflows through an existing Video Reader installation. Windows x64 only: install the core and set VIDEO_READER_ROOT before starting DSH; the bundle does not install Python, FFmpeg, models or Bilibili credentials.

Read a video with a text-only model: with ffmpeg installed, sample frames at a 0.1-10 second interval into contact sheets where every frame carries its real timecode, extract the audio track and send it to iTingnao (needs an ITINGNAO_API_KEY) for a timestamped transcript, and describe each sheet with an image-capable model in the host, so the plugin works on its own without any other vision plugin. A composer slider sets the sampling interval, and pure audio files are transcribed without frame sampling.

Compile a video link into timestamped Markdown knowledge cards with back-links to the exact moment. Requires your own Python 3.10+ and yt-dlp (ffmpeg + faster-whisper only for videos without subtitles; Bilibili login cookies for members-only subtitles).