← 返回 Skills 市场
yt-dlp
作者
nhathuynguyen19
· GitHub ↗
· v1.0.0
· MIT-0
229
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install yt-dlp-cmus
功能描述
AI skill to analyze song requests, verify local workspace files, and download missing tracks directly from YouTube bypassing API limits.
安全使用建议
This skill appears coherent for its purpose, but review these practical points before installing: 1) The skill executes shell commands that will download files from the Internet into ~/.openclaw/workspace/music/ — ensure you are comfortable with that location and its permissions. 2) There is a small metadata inconsistency: the SKILL.md suggests apt/pip install steps but the registry provides no install spec; the agent likely won't auto-install yt-dlp/ffmpeg for you. 3) Install yt-dlp and ffmpeg from trusted sources (official repos or releases) before use. 4) Be aware of legal and terms-of-service issues when downloading copyrighted content. 5) If you do not fully trust the skill owner, consider running the commands manually first or using a sandboxed environment; review any future updates for changes to the instructions. Overall, nothing in the skill asks for unrelated credentials or system-wide access, but exercise normal caution with tools that run shell commands and fetch external content.
功能分析
Type: OpenClaw Skill
Name: yt-dlp-cmus
Version: 1.0.0
The skill provides a legitimate workflow for searching, downloading, and managing music files using yt-dlp and ffmpeg within a dedicated workspace directory (~/.openclaw/workspace/music/). The instructions in SKILL.md are consistent with the stated purpose, and there is no evidence of data exfiltration, malicious execution, or prompt injection intended to compromise the system.
能力评估
Purpose & Capability
The skill declares yt-dlp and ffmpeg (both required to download and convert audio) and its instructions show exactly how those binaries are used. There are no unrelated binaries, env vars, or config paths requested.
Instruction Scope
SKILL.md confines activity to the user's workspace (~/.openclaw/workspace/music/), describes checking for existing files and downloading only missing tracks, and does not instruct reading unrelated files or exfiltrating data. It does run shell commands (find, mkdir, cd, yt-dlp), which is expected for this purpose.
Install Mechanism
The registry lists this as an instruction-only skill (no install spec), but the SKILL.md metadata includes suggested install entries (apt ffmpeg, pip yt-dlp). This is an internal inconsistency: the skill itself suggests how to install dependencies, but the package does not include an authoritative install step in the registry.
Credentials
No credentials or sensitive environment variables are requested. The only filesystem access is the user-scoped workspace directory, which is appropriate for the stated function.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. It is user-invocable and allows autonomous invocation (the platform default), which is expected for a functional skill.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install yt-dlp-cmus - 安装完成后,直接呼叫该 Skill 的名称或使用
/yt-dlp-cmus触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Major skill redesign: Reworked to focus on automated music track fetching and local file management.
- Integrates with the OpenClaw workspace, storing all downloads in `~/.openclaw/workspace/music/`.
- Adds logic to check for already-downloaded tracks before attempting to fetch from YouTube.
- Downloads missing songs using `yt-dlp` with highly specific queries, bypassing API limits.
- Removes general usage and scripting guides, narrowing scope to music-only workflow automation.
- Adds metadata and install instructions for required dependencies (`yt-dlp`, `ffmpeg`).
元数据
常见问题
yt-dlp 是什么?
AI skill to analyze song requests, verify local workspace files, and download missing tracks directly from YouTube bypassing API limits. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 229 次。
如何安装 yt-dlp?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install yt-dlp-cmus」即可一键安装,无需额外配置。
yt-dlp 是免费的吗?
是的,yt-dlp 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
yt-dlp 支持哪些平台?
yt-dlp 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 yt-dlp?
由 nhathuynguyen19(@nhathuynguyen19)开发并维护,当前版本 v1.0.0。
推荐 Skills