dsh-bcc · 包拆拆 for DeepSeek Harness

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Turn a video into a script, storyboard, or style guide inside DeepSeek Harness.

The plugin owns ffmpeg cut detection, keyframes, and export (docx / xlsx / html). Analysis uses whatever model the current DSH session already has. There is no Gemini/Kimi settings page and no bundled API key.

Recommended model: deepseek-v4-flash-vision-exp. If the current model cannot see images, the plugin prompts you to switch in the DSH model picker. It never rewrites your default model.

Install

npx @deepseek-ai/dsh plugin --profile web add github:aixlb/dsh-bcc

Local checkout:

npx @deepseek-ai/dsh plugin --profile web add ./dsh-bcc

Restart dsh web and hard-refresh the browser. Open the 包拆拆 conversation view (sidebar footer or the tab next to Trajectory).

Use

1. Put a video in the workspace.
2. In chat: 拆这个视频的分镜 / 拆剧本 / 做风格指南.
3. The agent calls bcc_shots → bcc_read_frames (batches of keyframes) → bcc_export.
4. Fine-tune cuts in chat: 切太碎了，min-gap 调到 0.5 or 00:12 再切一刀.

Workbench: project list | video + timeline | process (current shot thumbnail).

Tools

Tool	Role
bcc_probe	Duration / resolution
bcc_shots	Cut detection + optional keyframes
bcc_set_cuts	Explicit cut list (chat edits)
bcc_read_frames	Send keyframes to the vision model
bcc_export	script → docx/md/html; storyboard → xlsx/html
bcc_master	山之音 methodology text
bcc_project_list / bcc_project_open	Workspace .dsh-bcc/projects

Scripts are image-only: dialogue comes from burned-in captions. Unseen speech is written 【画面未见对白】.

License

MIT