dsh-bilibili-subtitles 是做什么的？

Turn a Bilibili video link into a readable, searchable, and deliverable subtitle document.

Core principle: Prefer existing subtitles first, only fall back to ASR or OCR. Do not immediately download video/audio for Whisper; Bilibili platform subtitles (including AI subtitles) are typically higher quality and faster.

When to Use

Use this skill when:

The user provides a Bilibili video link, BV/av number, episode/ep/ss link for anime, or b23.tv short link and asks to "extract subtitles" / "create a document" / "export to Word/Markdown".
The user has a local video file with external subtitles that need batch conversion to documents.
The user needs timestamped, bilingual aligned, or multi-P merged subtitle transcripts.
The user requires a subtitle quality report to assess if manual proofreading is worthwhile.

Do not use for:

Translating subtitles: this skill only performs bilingual alignment, not machine translation.
Precise speaker diarization: automatic diarization is not enabled; only existing [speaker] markers in subtitles are preserved.
Bypassing Bilibili login/pay/region restrictions: ask the user to provide cookies they are authorized to use, or switch to local files.

Installation & Invocation

Plugin: https://github.com/Chenfan2/dsh-bilibili-subtitles (In DSH desktop, go to "Plugins → Add Plugin" and paste the URL, or run dsh plugin --profile web add github:Chenfan2/dsh-bilibili-subtitles).
Plain skill: Copy the entire directory into DSH's skills directory (or run install.ps1).

After installation, execute from within the directory:

python main.py "https://www.bilibili.com/video/BV1xx411c7mD" --format md,docx

If you only need it temporarily, you can run main.py directly from the skill directory without full installation.

One-Command Example

python main.py "https://www.bilibili.com/video/BV1xx411c7mD" --format md,docx

Outputs in output/:

Title_BVnumber.md
Title_BVnumber.docx
Title_BVnumber.quality.json (quality report)
Title_BVnumber.segments.json (cleaned, structured subtitles)
_manifest.json (summary of the run)

Input / Output Contract

Inputs

Type	Example
Bilibili video	`https://www.bilibili.com/video/BV1xx411c7mD?p=2`
BV / av number	`BV1xx411c7mD`, `av80433022`
Anime episode	`https://www.bilibili.com/bangumi/play/ep123456`, `.../ss28747`
Short link	`https://b23.tv/xxxxxx`
Local video	`input.mp4`, `input.mkv`
External subtitles	`--subtitle input.srt` (also supports `.ass / .vtt / .json / .txt`)
Directory/batch	`python main.py ./videos --format md,docx`

Outputs

Document file paths (Markdown/Word/PDF/TXT/SRT).
Structured subtitles: [{start, end, text, speaker?, lang?, confidence?, translation?}].
Quality report: subtitle source, language, coverage, low-confidence segments, warnings, head/middle/tail samples.
Processing attempt log: per-provider success/failure/skip with reasons.

Subtitle Source Priority

The following sources are tried in order; failures cause automatic fallback unless explicitly disabled:

User external subtitles (--subtitle): Highest quality, fully controllable.
Bilibili platform subtitles / AI subtitles: Retrieved via x/player/v2; requires SESSDATA.
Local video embedded subtitles: Detected with ffprobe, extracted with ffmpeg to SRT.
Hardcoded subtitle OCR: Local video only, enabled via --ocr; experimental.
Whisper ASR: Enabled with --asr or as automatic fallback; downloads model on first use.

Without login, Bilibili typically does not return subtitle lists. In this case, you will get LOGIN_REQUIRED along with a prompt to provide a Cookie or enable ASR. This is a platform restriction, not a link error.

Bilibili Login (Required for Platform Subtitles)

The platform subtitle API only returns subtitle_url for logged-in sessions. Environment variables are recommended to avoid exposing credentials in command history:

$env:BILIBILI_SESSDATA = "your SESSDATA"
python main.py "https://www.bilibili.com/video/BV1xx411c7mD" --format md,docx

How to obtain: Log in to bilibili.com in your browser → Developer Tools → Application → Cookies → bilibili.com → Copy the value of SESSDATA.

Alternative methods:

python main.py URL --sessdata "SESSDATA value"
python main.py URL --cookie "SESSDATA=...; bili_jct=..."
python main.py URL --cookies cookies.txt

Cookies are equivalent to account credentials: do not commit them to repositories, documents, or public channels.
This skill uses cookies in memory only; logs and reports are sanitized.
When cookies expire, re-copy them from the browser.

Common Parameters

Parameter	Description
`--format md,docx,pdf,txt,srt,json`	Output formats, comma separated; default `md`
`-o, --output PATH`	Specify output file when single input + single format
`--out-dir DIR`	Output directory, default `output`
`--title TEXT`	Override document title (default is video title / filename)
`--subtitle PATH`	External subtitle file or directory (highest priority)
`--language zh`	Preferred subtitle/transcription language; platform subtitles matched by language
`--bilingual`	Bilingual alignment: if two tracks exist, align by time; with single track, try line-based splitting
`--timestamps` / `--no-timestamps`	Show `[00:12]` timestamps in body; default on
`--merge-sentences` / `--no-merge-sentences`	Merge hard-cut short sentences; default on
`--no-auto-punctuation`	Disable automatic punctuation for ASR/OCR (default on)
`--pages auto/all/1,3-5`	Select multiple parts; default processes only the part specified in URL, otherwise P1
`--template default/minimal/file.md`	Markdown template
`--quality-report PATH`	Path for quality report JSON
`--no-quality`	Skip generating quality report; also omit processing metadata from documents
`--glossary terms.json`	Term replacement, e.g., `{"DeepSeek":"深度求索"}`
`--json-summary`	Output machine-readable summary to stdout (for agent consumption)
`--asr` / `--no-asr`	Enable / disable Whisper fallback; default auto (only if already installed)
`--asr-model small`	`tiny / base / small / medium`; default `small`
`--model-dir DIR`	Whisper model cache directory (default `./.vsub-models-cache`)
`--ocr`	Perform OCR on hardcoded subtitles in local video (experimental)
`--ffmpeg PATH`	Specify ffmpeg / ffprobe path
`--strict`	Return non-zero exit code if any input fails or quality is `fail`

Full parameter list: python main.py --help.

Recommended Workflow (for Agents)

Determine input type:
- Bilibili link / BV / av → run directly.
- Local video → check for a matching .srt / .vtt / .ass file; if found, use --subtitle; otherwise try embedded subtitles.
- Subtitle file only → can be used directly as input.
Run default output first; do not enable ASR before examining the quality report:
```
python main.py "<link>" --format md,docx --out-dir output
```
If LOGIN_REQUIRED is returned:
- Inform the user that platform subtitles require SESSDATA, and provide setup instructions; do not retry repeatedly.
- If the user does not have a cookie, suggest --asr (explaining the model download, time cost, and potential recognition errors).
Inspect <stem>.quality.json:
- status=ok: deliver directly.
- status=warn: check warnings (especially coverage, overlaps, low confidence); include a note in the delivery summary.
- status=fail: do not pretend success; report the failure reason and suggest external subtitles / ASR / OCR.
Use present to deliver the .md / .docx file as the final artifact; attach the quality report only if the user requests it.

Execution environment:

Prefer using the Python returned by load_workspace_dependencies (it includes python-docx).

Windows PowerShell invocation:

& "C:\...\python.exe" main.py "<link>" --format md,docx --out-dir output

All outputs and temp files must be placed inside the session workspace; do not use system temp directories (may be blocked by sandbox).

Quality Report Fields

{
  "status": "ok | warn | fail",
  "score": 96.5,
  "source": "bilibili",
  "language": "zh",
  "segments": 320,
  "paragraphs": 86,
  "duration": 1260.0,
  "duration_covered": 0.96,
  "coverage_span": 0.99,
  "overlaps": 0,
  "low_confidence_segments": 3,
  "duplicate_segments": 1,
  "gaps_over_10s": 2,
  "warnings": ["..."],
  "samples": {"head": [], "middle": [], "tail": []}
}

duration_covered: Relative to full video duration; may be lower if intro/outro ads were removed.
coverage_span: Relative to content interval between first and last subtitle; better reflects whether speech portions are covered.
samples: Up to 5 segments each from head, middle, and tail for manual spot-checking.
Common status=fail reasons: no segments, coverage below 30%, all parts failed.

Failures & Fallback

Situation	Behavior
External subtitle parse failure	Log failure, continue to platform/embedded subtitles
Platform subtitle `LOGIN_REQUIRED`	Prompt to set `SESSDATA`; if faster-whisper is installed and ASR allowed, automatically transcribe
No platform subtitle track	Prompt `NO_SUBTITLE`; can try `--asr` or `--subtitle`
Embedded subtitle is PGS/VobSub bitmap	Cannot convert directly to SRT; suggest OCR or external subtitles
ASR not installed	Skip and give `pip install faster-whisper`; does not silently fail
One output format fails	Other formats continue; recorded in `quality.warnings`; only report `RENDER_FAILED` if all fail
Batch partial failures	Successful items still output; failures recorded in `_manifest.json` and `*.error.json`

Exit codes:

0 Success (batch: at least one succeeded)
2 Input/link/API/parse error
3 No subtitles, login required, quality failure
4 Missing dependency (ffmpeg/Whisper/docx, etc.)
5 Document rendering failure
1 Unexpected error

Examples

# Basic: platform subtitles → Markdown + Word
python main.py "https://www.bilibili.com/video/BV1xx411c7mD" --format md,docx

# Just Word, with custom filename
python main.py "BV1xx411c7mD" --format docx -o "PaperNotes.docx"

# Multi-part + timestamps + quality report
python main.py "https://www.bilibili.com/video/BV1xx411c7mD?p=1" --pages all --format md

# External subtitles priority
python main.py "input.mp4" --subtitle "input.srt" --format md,docx

# Bilingual (auto-align when platform has two tracks)
python main.py "BV1xx411c7mD" --bilingual --language zh --format md,docx

# No login, fallback to ASR (downloads model first time)
python main.py "BV1xx411c7mD" --asr --asr-model small --format md,docx

# Batch directory
python main.py "./videos" --format md,docx --out-dir output/batch

# Local hardcoded subtitle OCR (experimental)
python main.py "input.mp4" --ocr --ocr-fps 2 --format md

Limitations

Platform subtitle availability depends on the video, account, region, and uploader settings; this skill cannot bypass permissions.
AI subtitles may contain errors, missing sentences, or timeline drift; the quality report can only flag issues, not replace manual proofreading.
Bilingual mode uses "time alignment", not translation; it only aligns tracks in different languages.
Automatic speaker diarization is not implemented; only existing markers like [Zhang San], 【Zhang San】, Zhang San: are parsed.
OCR applies only to local videos, by default the bottom 30% of the frame; for animations, vertical videos, or drifting subtitle position, adjust with --ocr-crop or --ocr-full-frame.
PDF output requires LibreOffice or reportlab; otherwise, a clear error is thrown without affecting md/docx.
ASR for long videos may be slow; the small model first download is about 460MB.

Copyright & Privacy

Only process videos/subtitles the user has rights to; do not use this skill to bulk scrape copyrighted content.
Subtitle documents retain the original video title, uploader, and link for traceability.
Cookies and signed CDN URLs are not written to logs/quality reports; it is still recommended that users not paste cookies in public.
Temporary audio/frame files are stored by default under .vsub-tmp in the output directory and are automatically cleaned after execution; use --keep-temp to retain for debugging.

File Structure

dsh-bilibili-subtitles/
├── SKILL.md
├── README.md
├── main.py                  # CLI entry point
├── vsub/
│   ├── bilibili.py          # URL/API/subtitles/audio
│   ├── input_adapter.py     # Input adaptation
│   ├── pipeline.py          # Five-layer pipeline orchestration
│   ├── providers/           # external/bilibili/embedded/ocr/asr
│   ├── parsers/             # srt/vtt/ass/bilibili-json/plain
│   ├── cleaners/            # cleaning, merging, bilingual, glossary
│   ├── renderers/           # md/docx/pdf/txt/srt/json
│   └── quality.py           # Quality validation
├── templates/
├── tests/
└── requirements.txt

Chenfan2/dsh-bilibili-subtitles

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