Plugin directory / UI & Skins / dsh-bcc
dsh-bcc
Verified · install-tested on dsh aixlb
What it does
包拆拆 for DeepSeek Harness: video to script/storyboard/style guide. dsh-plugin.
Works — verified, early-stage project
包拆拆 for DeepSeek Harness: video to script/storyboard/style guide. dsh-plugin. It installs cleanly and boots without issues in our testing. It's early-stage but functional.
“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.
README
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.mdandprompts/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=shotsuntilremaining=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
Install
Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:
dsh plugin add dshbase-catalog Then say "install dsh-bcc for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.
This plugin is GitHub source (not published to npm) — install it straight from the repo:
Web profile:
dsh plugin --profile web add github:aixlb/dsh-bcc Headless (CLI) profile:
dsh plugin --profile headless add github:aixlb/dsh-bcc Test report
Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.