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Video Explainer
作者
mhogan2013-9
· GitHub ↗
· v1.0.0
· MIT-0
61
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-explainer
功能描述
Turn a 2-minute screen recording of a software walkthrough into 1080p narrated explainer video just by typing what you need. Whether it's turning raw recordi...
安全使用建议
This skill appears to be a cloud-based explainer-video frontend and requires a NEMO_TOKEN (it can also obtain a short-lived anonymous token from https://mega-api-prod.nemovideo.ai). Before installing: (1) confirm you are comfortable uploading potentially sensitive video/audio to the external domain mega-api-prod.nemovideo.ai and review that service's privacy/terms; (2) avoid providing long-lived or unrelated credentials — NEMO_TOKEN is the only required credential; (3) ask the publisher why the frontmatter lists a local config path (~/.config/nemovideo/) and why the skill probes install/config directories — if you don't want filesystem probing, decline installation; (4) prefer ephemeral/anonymous tokens rather than putting a persistent NEMO_TOKEN in your environment; (5) if you need stronger assurance, request the service's homepage, privacy policy, and code or host provenance before using with sensitive footage.
功能分析
Type: OpenClaw Skill
Name: video-explainer
Version: 1.0.0
The skill is a functional wrapper for a cloud-based video processing service (nemovideo.ai). It manages authentication via the NEMO_TOKEN environment variable or an anonymous token generation process, and it facilitates video uploads and rendering tasks through a documented API. While it includes telemetry headers (X-Skill-Platform) and sends user data to a third-party backend (mega-api-prod.nemovideo.ai), these behaviors are transparently documented and directly aligned with the stated purpose of providing a cloud-rendered video explainer service.
能力评估
Purpose & Capability
Name and instructions align with a cloud-based video processing service and the single required credential (NEMO_TOKEN) is appropriate. However the SKILL.md frontmatter requests a config path (~/.config/nemovideo/) while the registry metadata above stated no required config paths — this mismatch is incoherent and could indicate the skill expects local config files not declared elsewhere.
Instruction Scope
Runtime instructions tell the agent to upload user-provided video files and to call external API endpoints (session creation, SSE, upload, render, credits, state). That is expected for the stated purpose. Concerns: (1) the skill instructs detecting install paths (~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform header — that requires probing specific filesystem locations; (2) it will POST to an anonymous-token endpoint and treat the returned token as NEMO_TOKEN if none is present. Both behaviors expand what the agent will read/access beyond just in-chat file uploads and should be noted. The SKILL.md also instructs to not expose tokens, but the agent will still handle and transmit them to the external API.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is written to disk by an installer in the skill package itself.
Credentials
Only NEMO_TOKEN is declared as required (primaryEnv). That fits the cloud API workflow. The skill will also obtain an anonymous token from the remote API if NEMO_TOKEN is absent. No other unrelated secrets are requested. Still, a token grants the backend permission to process uploaded media, so the privacy/credential impact is real and should be considered.
Persistence & Privilege
always:false and no install hooks — good. But the skill instructs probing common install/config paths (~/.clawhub/, ~/.cursor/skills/, and a possible ~/.config/nemovideo/) to determine X-Skill-Platform and possibly read local config. Probing these paths is more intrusive than strictly necessary for a single-use cloud upload and could leak information about local environment layout.
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 video-explainer - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-explainer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: Effortless AI-driven video explainers from raw footage or slides.
- Instantly turn a 2-minute screen recording or slides into a narrated 1080p explainer video in 1–2 minutes.
- No manual editing — just upload your footage and describe what you want; AI handles the rest.
- Seamless setup with automatic cloud connection and free anonymous access (100 credits, 7-day expiry).
- Supports key workflows: quick edits, batch sessions, and iterative refinement with timeline state.
- Broad format support (video: mp4, mov, avi, webm, mkv; image/audio: jpg, png, gif, webp, mp3, wav, etc.).
- Built-in error handling and export management for a smooth user experience.
元数据
常见问题
Video Explainer 是什么？
Turn a 2-minute screen recording of a software walkthrough into 1080p narrated explainer video just by typing what you need. Whether it's turning raw recordi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 61 次。
如何安装 Video Explainer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-explainer」即可一键安装，无需额外配置。
Video Explainer 是免费的吗？
是的，Video Explainer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Explainer 支持哪些平台？
Video Explainer 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 Explainer？
由 mhogan2013-9（@mhogan2013-9）开发并维护，当前版本 v1.0.0。
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