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在 OpenClaw 中安装
/install video-maker
功能描述
Get polished MP4 videos ready to post, without touching a single slider. Upload your video clips or images (MP4, MOV, AVI, WebM, up to 500MB), say something...
安全使用建议
This skill appears to be a straightforward cloud video-renderer, but before installing or using it:
- Verify the skill's source/owner and prefer skills with a homepage or repo. This one has unknown source and no homepage.
- Only provide a NEMO_TOKEN if you trust the nemovideo.ai service; if unsure, let the skill generate an anonymous token (short-lived, limited credits) rather than entering a long-lived token.
- Expect your uploaded video/audio files to be transmitted to https://mega-api-prod.nemovideo.ai — do not upload private/sensitive footage unless you trust that endpoint and its data-retention policy.
- The SKILL.md implies the agent will probe common install paths (~/.clawhub, ~/.cursor/skills) to set an attribution header; confirm you are comfortable with that filesystem probing or ask for explicit permission.
- Ask the skill author to reconcile the registry metadata vs. SKILL.md (configPaths mismatch) and to provide a homepage or source so you can review privacy and security details.
If the author publishes a trusted homepage/repo and clarifies that filesystem reads are limited to the skill's own files (or provides explicit consent prompts), my confidence in this being coherent would rise.
功能分析
Type: OpenClaw Skill
Name: video-maker
Version: 1.0.0
The video-maker skill bundle provides a functional integration for a cloud-based video editing service (nemovideo.ai). It includes detailed instructions for the agent to manage authentication tokens, handle file uploads, and process video rendering tasks via SSE. While it performs minor environment fingerprinting to identify the host platform (e.g., Cursor or Clawhub) for API attribution headers, its operations are transparent and strictly aligned with its stated purpose without evidence of malicious intent or data exfiltration.
能力评估
Purpose & Capability
Name/description align with a cloud video rendering service and the SKILL.md describes appropriate API calls (session, upload, render, export). Requesting a service token (NEMO_TOKEN) is expected for this purpose. However the SKILL.md embeds extra metadata (a configPaths entry) that does not match the registry metadata (which listed no config paths), creating a mismatch about what filesystem access the skill expects.
Instruction Scope
Instructions direct the agent to: read this file's frontmatter for attribution headers (reasonable), detect the agent install path pattern (e.g., ~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform (this requires probing the filesystem or agent environment), generate and store an anonymous token if NEMO_TOKEN is absent, save session_id, upload user-provided video/audio files to an external domain, and send bearer auth headers on every API call. Most of these actions are within the stated purpose, but the filesystem probing and implicit persistence of session state are not declared in the registry metadata and should be explicit.
Install Mechanism
Instruction-only skill with no install spec or code files — low installation risk. Nothing is downloaded or written by an install step according to the registry.
Credentials
Only one credential (NEMO_TOKEN) is declared as required and is appropriate for accessing the remote rendering API. The SKILL.md also suggests a config path (~/.config/nemovideo/) in its internal metadata; the registry lists no required config paths. This mismatch should be resolved. Also, the agent is instructed to POST an anonymous-token endpoint to create a short-lived NEMO_TOKEN if none exists — that is a reasonable fallback but means the skill can obtain a token on behalf of the user if they don't supply one.
Persistence & Privilege
always:false and no install steps. The skill instructs saving a session_id for ongoing renders (expected) but does not request permanent always-on privileges or modification of other skills. The autonomy default (model invocation allowed) is normal and not flagged on its own.
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-maker - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-maker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
Video Maker 1.0.0 — Create and export finished videos easily
- Launches a new skill for assembling and exporting MP4 videos from clips or images, with text, audio, and transitions.
- Designed for content creators and marketers needing fast, polished videos without using complex editors.
- Handles all video rendering in the cloud (supports MP4, MOV, AVI, WebM, up to 500MB uploads).
- Simple setup: free session token generated automatically for new users.
- Includes commands for uploading, editing, checking credits, and exporting final videos at 1080p.
- Provides error handling for common issues (file type, size, credits, and rate limits).
元数据
常见问题
Video Maker 是什么？
Get polished MP4 videos ready to post, without touching a single slider. Upload your video clips or images (MP4, MOV, AVI, WebM, up to 500MB), say something... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 89 次。
如何安装 Video Maker？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-maker」即可一键安装，无需额外配置。
Video Maker 是免费的吗？
是的，Video Maker 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Maker 支持哪些平台？
Video Maker 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 Maker？
由 mory128（@mory128）开发并维护，当前版本 v1.0.0。
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