dsh-bcc · 包拆拆 for DeepSeek Harness
English | 简体中文
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
- Expand the right 包拆拆 panel: pick/upload a video, choose 拆剧本 or 拆分镜.
- 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.
- 拆分镜 uses smart/scene cuts and shot style from the panel.
- Command palette:
/bcc-script, /bcc-storyboard.
- Script pipeline:
bcc_shots cutMethod=interval → bcc_read_frames source=shots until remaining=0 → merge beats → bcc_script_coverage → bcc_export.
- 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
