dsh-bcc

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. Click 包拆拆 in the session header to expand the project panel.

Use

1. Expand the right 包拆拆 panel: pick/upload a video, choose 拆剧本 or 拆分镜.
2. 拆剧本 slices the timeline every N seconds (default 1s), extracts a beat per still with the open extract prompt, then merges overlapping beats with the open merge prompt. Edit both prompts in the panel; the source files are prompts/script-extract.md and prompts/script-merge.md.
3. 拆分镜 uses smart/scene cuts and shot style from the panel.
4. Command palette: /bcc-script, /bcc-storyboard.
5. Script pipeline: bcc_shots cutMethod=interval → bcc_read_frames source=shots until remaining=0 → merge beats → bcc_script_coverage → bcc_export.
6. Storyboard pipeline: bcc_shots → bcc_read_frames source=shots → bcc_export.

Tools

Tool	Role
bcc_probe	Duration / resolution
bcc_shots	Cut detection (smart / scene / interval) + optional keyframes
bcc_sample_script	Optional dense stills (not used by default interval 拆剧本)
bcc_set_cuts	Explicit cut list (chat edits)
bcc_read_frames	Send stills to the vision model (source=shots or script)
bcc_script_coverage	Timeline-gap / volume check before export
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