Video analysis panel in the DeepSeek Harness sidebar. Paste a YouTube or Bilibili link to fetch its subtitles and generate a summary, chapters, a mind map and citation-backed Q&A over the transcript, with an embedded player whose timestamps jump to that moment and keep playing. Videos without subtitles fall back to local Whisper / SenseVoice transcription (audio stays on the machine); silent videos fall back to frame OCR with macOS Vision, or to vision-model frame descriptions. Per-video analysis caching, a 20-item history, and two agent tools: video_digest and video. A Bilibili SESSDATA cookie, if you enter one, is stored in ~/.dsh/video-credentials.json (mode 0600), transcripts are sent to your current model, and its HTTP routes have no DSH access check.
Install
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:Azerz/dsh-video-insight
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).
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