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dsewell-583h0

Video Lesson

作者 dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
117
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-lesson
功能描述
convert raw video footage into structured lesson videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. educators and course creators use...
安全使用建议
This skill largely does what it says: upload video, request server-side processing, and return a processed MP4. Before installing, consider: 1) The skill will try to contact https://mega-api-prod.nemovideo.ai automatically on first use to obtain an anonymous token if you don't provide NEMO_TOKEN yourself — decide whether you prefer to supply your own token rather than allowing automatic token creation. 2) Confirm you trust the API domain and review its privacy/terms (your uploaded videos and metadata will be sent to that backend). 3) The SKILL.md mentions reading the skill file frontmatter and checking common install paths (~/.clawhub, ~/.cursor/skills/) to set an attribution header; if you have sensitive filesystem layout you may want to restrict or inspect this behavior. 4) There is a metadata inconsistency: the skill's frontmatter references a config path (~/.config/nemovideo/) not declared elsewhere — ask the publisher to clarify why that path is needed. If you decide to proceed, prefer providing a token you control (NEMO_TOKEN) and test with non-sensitive sample videos first.
功能分析
Type: OpenClaw Skill Name: video-lesson Version: 1.0.0 The video-lesson skill is a standard integration for a cloud-based video editing service (nemovideo.ai). It includes instructions for the agent to handle authentication via anonymous tokens, manage sessions, and process video uploads/exports. While it performs basic environment detection by checking for the existence of specific local paths (e.g., ~/.clawhub/) to set attribution headers, its behavior is consistent with its stated purpose and lacks indicators of malicious intent or data exfiltration.
能力评估
Purpose & Capability
The skill claims to convert/structure video and its runtime instructions cover uploads, rendering, progress, and downloads — which aligns with the stated purpose. However the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata shows no required config paths; this mismatch is unexplained and should be confirmed.
Instruction Scope
Instructions are detailed and mostly within scope (uploading files, SSE for edits, polling export status). Two behaviors to be aware of: the skill instructs an automatic first-time connection that POSTs to an external API to obtain an anonymous token (network activity without an explicit user upload step), and it instructs detecting install-path/platform by reading host paths (~/.clawhub, ~/.cursor/skills/) and the skill's own YAML frontmatter at runtime. Those are plausible for attribution, but they extend filesystem/network access beyond only 'upload-on-demand' and should be acceptable to you before enabling.
Install Mechanism
No install spec or code files — instruction-only skill. This is low-risk from an installation perspective because nothing is downloaded or written by an installer.
Credentials
The only declared required environment variable is NEMO_TOKEN (primaryEnv), which is appropriate for a third‑party API. But the SKILL.md describes generating an anonymous token automatically when NEMO_TOKEN is missing and implies storing/using that token; that automatic creation could result in outbound network requests and temporary credentials being created without the user explicitly providing a token. Also the frontmatter's configPaths (~/.config/nemovideo/) appears in the skill but was not declared elsewhere — inconsistency to clarify.
Persistence & Privilege
always is false and the skill is user invocable; it does not request permanent/force-inclusion privileges. It does suggest keeping a session_id for the session lifetime, which is normal for a remote-rendering workflow.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install video-lesson
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-lesson 触发
  4. 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 of the video-lesson skill: turn raw video recordings into structured, chaptered, captioned lesson videos. - Supports MP4, MOV, AVI, WebM files up to 500MB; produces 1080p MP4 output. - Includes automatic backend setup, free authentication flow, and streamlined video processing (1–2 minutes per job). - Features prompt-driven editing (chapters, captions, overlays), session state management, and export/sse routing based on user intent. - Handles common errors and communicates progress/status clearly during processing.
元数据
Slug video-lesson
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Video Lesson 是什么?

convert raw video footage into structured lesson videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. educators and course creators use... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 117 次。

如何安装 Video Lesson?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-lesson」即可一键安装,无需额外配置。

Video Lesson 是免费的吗?

是的,Video Lesson 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Video Lesson 支持哪些平台?

Video Lesson 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 Video Lesson?

由 dsewell-583h0(@dsewell-583h0)开发并维护,当前版本 v1.0.0。

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