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 MaDaWang-supper/-douyin-mcp-server --skill douyin-videogit clone --depth 1 https://github.com/MaDaWang-supper/-douyin-mcp-serverWrote 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/madawang-supper/-douyin-mcp-server/douyin-video)<a href="https://agentmods.dev/skills/madawang-supper/-douyin-mcp-server/douyin-video"><img src="https://agentmods.dev/badge/skills/madawang-supper/-douyin-mcp-server/douyin-video/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/madawang-supper/-douyin-mcp-server/douyin-video"><img src="https://agentmods.dev/badge/skills/madawang-supper/-douyin-mcp-server/douyin-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00096 | $0.01239 |
| Opus 5 | $0.00048 | $0.00620 |
| Sonnet 5 | $0.00019 | $0.00248 |
| Haiku 4.5 | $0.00010 | $0.00124 |
Grade A, and why
douyin-video scanned grade A with 0 findings 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 12d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to douyin-video — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
抖音无水印视频下载和文案提取
从抖音分享链接获取无水印视频下载链接, 下载视频, 并使用语音识别提取视频中的文案, 自动保存到文件.
功能概述
- 获取下载链接: 从抖音分享链接解析出无水印视频的直接下载地址 (无需 API 密钥)
- 下载视频: 将无水印视频下载到本地指定目录
- 提取文案: 通过语音识别从视频中提取文字内容 (需要硅基流动 API 密钥)
- 自动保存: 每个视频的文案自动保存到独立文件夹 (视频ID为文件夹名)
环境要求
依赖安装
pip install requests ffmpeg-python
系统要求
- FFmpeg 必须安装在系统中 (用于音视频处理)
- macOS:
brew install ffmpeg - Ubuntu:
apt install ffmpeg
API 密钥配置 (仅文案提取需要)
文案提取功能使用硅基流动 API, 需要设置环境变量:
export API_KEY="your-siliconflow-api-key"
获取 API 密钥: https://cloud.siliconflow.cn/
使用方法
方法一: 使用脚本 (推荐)
# 获取视频信息和下载链接 (无需 API 密钥)
python douyin_downloader.py --link "抖音分享链接" --action info
# 下载视频到指定目录
python douyin_downloader.py --link "抖音分享链接" --action download --output ./videos
# 提取视频文案并保存到文件 (需要 API_KEY 环境变量)
python douyin_downloader.py --link "抖音分享链接" --action extract --output ./output
# 提取文案并同时保存视频
python douyin_downloader.py --link "抖音分享链接" --action extract --output ./output --save-video
# 安静模式 (减少输出)
python douyin_downloader.py --link "抖音分享链接" --action extract --output ./output --quiet
输出目录结构
提取文案后, 每个视频会保存到独立文件夹:
output/
├── 7600361826030865707/ # 视频ID为文件夹名
│ └── transcript.md # Markdown 格式文案文件
├── 7581044356631612699/
│ ├── transcript.md
│ └── 7581044356631612699.mp4 # 使用 --save-video 时保存
└── ...
Markdown 文案格式
# 视频标题
| 属性 | 值 |
|------|-----|
| 视频ID | `7600361826030865707` |
| 提取时间 | 2026-01-30 14:19:00 |
| 下载链接 | [点击下载](url) |
---
## 文案内容
(语音识别的文字内容)
方法二: 在 Python 代码中调用
from douyin_downloader import get_video_info, download_video, extract_text
# 获取视频信息
info = get_video_info("抖音分享链接")
print(f"视频ID: {info['video_id']}")
print(f"标题: {info['title']}")
print(f"下载链接: {info['url']}")
# 下载视频
video_path = download_video("抖音分享链接", output_dir="./videos")
# 提取文案并保存到文件
result = extract_text("抖音分享链接", output_dir="./output")
print(f"文案已保存到: {result['output_path']}")
print(result['text'])
工作流程
What ships with it
4 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.
- 12d ago First seen · 154 lines · 96 tokens per session scan A 98cbdcf16a7f
douyin-video is a skill published in the GitHub repository MaDaWang-supper/-douyin-mcp-server (1 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 96 tokens to every session and 1,239 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to douyin-video, differing in 0 lines, and is treated as a copy.
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