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SKILL verified MIT Self-run

Bilibili Transcribe

skill-chubbyguan-chubbyskills-bilibili-transcribe · by chubbyguan

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Install

$ agentstack add skill-chubbyguan-chubbyskills-bilibili-transcribe

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

B 站视频转录 Skill

字幕优先:先尝试抓取官方/自动字幕(秒级、免 GPU、免 funasr);抓不到再下载音频用 SenseVoice-Small 转录,存为 Markdown 文件。加 --no-subtitle 可强制走音频转录。

环境要求

# Python 3.9+
python -m venv .venv
source .venv/bin/activate

# 依赖
pip install funasr modelscope torch torchaudio

# 系统依赖
# macOS: brew install ffmpeg yt-dlp
# Ubuntu: sudo apt install ffmpeg && pip install yt-dlp

使用方法

python scripts/transcribe.py "https://www.bilibili.com/video/BV1rrQGBeEen/"
python scripts/transcribe.py "BV1rrQGBeEen"
python scripts/transcribe.py "BV1rrQGBeEen" --no-subtitle   # 强制音频转录

流程

Step 1: yt-dlp 下载音频

B 站有反爬机制,需要加 User-Agent 和 Referer:

yt-dlp --extract-audio --audio-format mp3 --audio-quality 128K \
  --user-agent "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) ..." \
  --referer "https://www.bilibili.com" \
  "https://www.bilibili.com/video/BV1rrQGBeEen/"

Step 2: SenseVoice-Small 转录

from funasr import AutoModel
from funasr.utils.postprocess_utils import rich_transcription_postprocess

model = AutoModel(
    model="iic/SenseVoiceSmall",
    trust_remote_code=True,
    vad_model="fsmn-vad",
    vad_kwargs={"max_single_segment_time": 30000},
    device="cpu",
)

result = model.generate(input=audio_path, language="zh", use_itn=True, batch_size_s=60)

Step 3: 生成 Markdown

自动创建带 frontmatter 的 Markdown 文件。

性能数据

| 视频时长 | 转录耗时 | |------|------| | 5 min | ~10s | | 10 min | ~20s | | 30 min | ~60s |

已知限制

  • B 站 4K/1080P60 需要大会员,普通用户可下载 720P 以下
  • SenseVoice-Small 模型首次下载约 893MB
  • 不支持说话人分离
  • 合集视频会下载第一个分 P

参考项目

⚖️ 合规声明

仅供个人学习与研究使用。请遵守目标平台的服务条款(ToS)与 robots 规则,控制请求频率,不要用于批量抓取、商用爬取或侵犯他人权益的场景。下载内容的版权归原作者所有。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.