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在 OpenClaw 中安装
/install youtube-scheduler
功能描述
Phân tích lịch đăng video của kênh YouTube để tìm "khung giờ vàng" — thời điểm đăng có nhiều view và engagement nhất. Dùng khi user yêu cầu "Tìm giờ vàng đăn...
安全使用建议
This skill is largely consistent with its description, but proceed carefully: 1) The Python script calls the external tool 'yt-dlp' (not declared in the metadata). Ensure you have yt-dlp installed and from a trusted source before running. 2) SKILL.md advises downloading raw scripts from GitHub — review the script contents (provided) yourself before executing. 3) The script will make network requests to YouTube (through yt-dlp) and will write a plaintext report to a local folder (Youtube_Schedule). If you are unsure, run it in an isolated environment (VM/container) or inspect/transfer to a trusted package manager that declares dependencies. If the missing yt-dlp declaration concerns you, ask the author to update metadata to list required binaries and to provide a vetted install mechanism.
功能分析
Type: OpenClaw Skill
Name: youtube-scheduler
Version: 1.0.0
The skill is a legitimate tool for analyzing YouTube channel upload schedules using the 'yt-dlp' utility. The Python script (analyze_schedule.py) securely handles subprocess calls using argument lists and includes filename sanitization to prevent path traversal. While the SKILL.md provides installation commands that fetch scripts from GitHub, this is a standard distribution method for such tools and no malicious behavior or data exfiltration logic was found.
能力评估
Purpose & Capability
The skill's stated purpose (analyze YouTube upload schedule) matches the code: the Python script fetches video metadata and computes best days/hours. However the registry metadata lists no required binaries while the script invokes the external tool 'yt-dlp' via subprocess — that binary is necessary for the skill to function but isn't declared. This is an incoherence (likely an oversight) but impacts usability and trust.
Instruction Scope
SKILL.md instructs the agent/user to run a local Python script with a channel URL and optionally set timezone/limit. The script spawns an external process (yt-dlp) to fetch data from YouTube, parses outputs, and writes a plaintext report under Youtube_Schedule/. The instructions do not request unrelated files, credentials, or other system data. Note: the script will perform network calls (via yt-dlp) and writes output to disk — expected for the task.
Install Mechanism
There is no formal install spec; SKILL.md shows optional install methods that download raw files from raw.githubusercontent.com or clone a GitHub repo. Downloading raw scripts from GitHub is common but has moderate risk if you don't review the code first. The skill does not fetch code from obscure/personal servers or use archive extraction, which reduces risk.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code does not attempt to read secrets or other environment values. This is proportionate to its stated purpose.
Persistence & Privilege
Skill does not request always:true, does not modify other skills or system-wide agent settings, and only writes its own report file to a local directory. It has normal, limited persistence (output file creation).
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 youtube-scheduler - 安装完成后,直接呼叫该 Skill 的名称或使用
/youtube-scheduler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
Initial release - MCB AI YouTube skills suite
元数据
常见问题
YouTube Scheduler 是什么?
Phân tích lịch đăng video của kênh YouTube để tìm "khung giờ vàng" — thời điểm đăng có nhiều view và engagement nhất. Dùng khi user yêu cầu "Tìm giờ vàng đăn... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 127 次。
如何安装 YouTube Scheduler?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install youtube-scheduler」即可一键安装,无需额外配置。
YouTube Scheduler 是免费的吗?
是的,YouTube Scheduler 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
YouTube Scheduler 支持哪些平台?
YouTube Scheduler 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 YouTube Scheduler?
由 MCB AI(@mcbaivn)开发并维护,当前版本 v1.0.0。
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