Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add chubbyguan/chubbyskills --skill douyin-transcribegit clone --depth 1 https://github.com/chubbyguan/chubbyskillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/chubbyguan/chubbyskills/douyin-transcribe)<a href="https://agentmods.dev/skills/chubbyguan/chubbyskills/douyin-transcribe"><img src="https://agentmods.dev/badge/skills/chubbyguan/chubbyskills/douyin-transcribe/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/chubbyguan/chubbyskills/douyin-transcribe"><img src="https://agentmods.dev/badge/skills/chubbyguan/chubbyskills/douyin-transcribe.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Privilege Escalation · line 31 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00037 | $0.00848 |
| Opus 5 | $0.00018 | $0.00424 |
| Sonnet 5 | $0.00007 | $0.00170 |
| Haiku 4.5 | $0.00004 | $0.00085 |
Grade B, and why
douyin-transcribe scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
# Ubuntu: sudo apt install ffmpeg What it actually says
抖音视频转录 Skill
将抖音视频下载音频，用 SenseVoice-Small 转录为文字，存为 Markdown 文件。
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
# Ubuntu: sudo apt install ffmpeg
使用方法
python scripts/transcribe.py "https://v.douyin.com/xxxxx"
流程（3 步）
Step 1: 从抖音下载音频
使用 iesdouyin.com/share/video/<id> + 移动端 UA 获取 window._ROUTER_DATA，提取 CDN 下载链接。
关键点：
- ✅
iesdouyin.com/share/video/而非douyin.com/video/ - ✅ 移动端 UA 必须用 iPhone
- ✅
playwm→play去水印 - ✅ 无需 cookie、无需登录、无需 yt-dlp
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 | 模型加载 | 转录耗时 | 总耗时 |
|---|---|---|---|
| 10 min | ~30s | ~25s | ~1 min |
| 30 min | ~30s | ~75s | ~2 min |
| 1h 22min | ~40s | ~180s | ~4 min |
已知限制
- SenseVoice-Small 模型首次下载约 893MB（从 ModelScope，国内快）
- CPU 推理质量略低于 GPU，但中文仍优于 Whisper-small
- VAD 自动切分可能把长停顿处切成两段
- 不支持说话人分离
- yt-dlp 不可用（需要 cookie），必须走 iesdouyin 路线
参考项目
- FunAudioLLM/SenseVoice - 语音识别模型
- FunASR - 语音识别框架
- vangie/douyin-transcriber - 原始灵感（Go CLI）
⚖️ 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。
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 98 lines · 37 tokens per session scan B 1d1bf24bdc62
douyin-transcribe is a skill published in the GitHub repository chubbyguan/chubbyskills (667 stars, last pushed 23d ago), licensed MIT. It adds 37 tokens to every session and 848 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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