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dsh-vidfetch

Vidfetch

dsh-vidfetch — 一个用于下载视频的 DeepSeek Harness 插件。

插件会安装到这里;不确定时保持 web。

npx -y @deepseek-ai/dsh plugin --profile web add github:anaksunamu/dsh-vidfetch#b836f458fe67456917e2a4df5511390a2a06a7ee
README兼容性版本

兼容性与来源证明

Vidfetch 以 dsh-vidfetch 发布,当前版本为 0.1.0。Plugin Hub 会校验它的 manifest,并保存精确安装来源,便于复现安装结果。

DSH 兼容范围
*
运行环境
any
发布来源
github
Registry 更新时间
2026/8/24

版本

0.1.0stable
2026/8/24

相关插件

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最新版
0.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
any
许可证
MIT
发布源
github
GitHub
★ 0
周下载
0
最近提交
2026/8/24
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

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README

dsh-vidfetch

Give your DeepSeek Harness agent the ability to download a video straight from a URL.

What it does

Registers a single tool, fetch_video, that the model can call to download the main video from any URL.

  • Downloads the best available audio+video stream into the directory the agent specifies.
  • Returns ok plus the list of files it wrote. Or a short error cause if the URL is unsupported.
  • No configuration file or extra setup on the agent side: just point dir somewhere writable.

Installation

dsh plugin --profile web add dsh-vidfetch

From this repository:

git clone https://github.com/anaksunamu/dsh-vidfetch.git 
npm install --prefix ./dsh-vidfetch
npm run build --prefix ./dsh-vidfetc
dsh plugin --profile web add ./dsh-vidfetch

Usage

The model calls fetch_video with two required parameters:

ParameterTypeDescription
urlstringThe URL where the video is located.
dirstringOutput directory for the downloaded file.

Example call the agent makes:

{ "url": "https://example.com/watch/abc123", "dir": "~/downloads" }

Output:

{ "message": "ok", "files": ["downloads/video.mp4"] }

On failure, message contains a short error cause and files is empty:

{ "message": "Unsupported URL", "files": [] }

Requirements

  • DSH: tested against the 0.1.1-rc.x line.
  • Node: ^22.19.0 || >=24.0.0.
  • yt-dlp: provided by dependency.

Permissions & network

Clear the risk explicitly before trusting an agent tool:

  • Outbound network: each call fetches whatever URL the model passes. The plugin sends no telemetry and contacts no external service of its own.
  • Filesystem write: files land in the dir the model supplies (default: current working directory if empty). The model decides the path — point dir at a sandboxed or scratch folder if you don't want arbitrary writes.
  • Subprocess: runs a yt-dlp process per call; it inherits the host's environment.
  • Untrusted content warning: videos fetched from random URLs are untrusted files. Don't pipe them straight into execution pipelines.
  • No API key required by this plugin.

License & listing

  • License: MIT.
  • Not affiliated with DeepSeek AI.
  • Compatibility notes above are for DSH preview 0.1.1-rc.x.