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Video Editing Ai Hugging Face
作者
vynbosserman65
· GitHub ↗
· v1.0.0
· MIT-0
63
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当前安装
1
版本数
在 OpenClaw 中安装
/install video-editing-ai-hugging-face
功能描述
edit raw video footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. developers and content creators use it for...
安全使用建议
This skill appears to implement a cloud video-editing service that uses a 'nemovideo.ai' API, not Hugging Face despite the name — treat the naming as potentially misleading. Before installing or using it: (1) confirm the service owner and domain (mega-api-prod.nemovideo.ai) and whether you trust that provider; (2) avoid setting long-lived or highly privileged tokens globally — prefer temporary/anonymous tokens when possible; (3) be careful about giving the agent paths to local files — only upload files you intend to share and avoid sending sensitive local files; (4) ask the publisher to clarify why the package references Hugging Face when it calls nemovideo endpoints; and (5) if you need stronger assurance, request the skill's source code or an explicit publisher/homepage before use.
功能分析
Type: OpenClaw Skill
Name: video-editing-ai-hugging-face
Version: 1.0.0
The skill is a legitimate integration for a video editing service hosted at nemovideo.ai. It provides detailed instructions for an AI agent to manage authentication, sessions, file uploads, and cloud-based video rendering. While it includes logic for environment fingerprinting (detecting if it's running in Cursor or ClawHub) and requires access to its own configuration directory (~/.config/nemovideo/), all network activity is directed to the service's official API endpoints (mega-api-prod.nemovideo.ai) and aligns with the stated purpose of AI-powered video editing.
能力评估
Purpose & Capability
The skill claims 'Hugging Face' in its name/display but all runtime endpoints and the required credential (NEMO_TOKEN) point to an unrelated domain (mega-api-prod.nemovideo.ai). The declared config path (~/.config/nemovideo/) and required NEMO_TOKEN match the actual API, so functionality is coherent with Nemovideo, but the Hugging Face branding is misleading and could cause users to assume provenance or security properties that do not apply.
Instruction Scope
SKILL.md instructs the agent to obtain or use NEMO_TOKEN, create sessions, upload videos (via multipart file paths or URLs), read SSE streams, poll render status, and 'detect' install path from the filesystem. Asking the agent to read local install paths and accept file paths to upload means the agent might access arbitrary local files if allowed — this is expected for a video upload skill but broad file access is a privacy/risk surface that should be clearly limited and consented by the user.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing is written to disk by an installer. This minimizes supply-chain risk.
Credentials
Only a single credential (NEMO_TOKEN) is required and it maps to the spoken API. The skill also declares a config path (~/.config/nemovideo/). That is proportionate to a cloud-video API, but the presence of a config path means local credential/config files could be read — confirm what the agent will read and avoid supplying more privileged tokens than necessary.
Persistence & Privilege
always:false and default invocation settings are used. The skill does request storing a session_id in the session flow, but it does not request persistent/always-on privileges or modifications to other skills.
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-editing-ai-hugging-face - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-editing-ai-hugging-face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 of Video Editing AI Hugging Face skill.
- Edit raw video footage (MP4, MOV, AVI, WebM up to 500MB) into polished clips using open-source AI models, fully automated in the cloud.
- Simple setup with automatic free token generation and session management.
- Supports editing instructions like trimming silences, adding transitions, and exporting 1080p MP4 files.
- Integrates session-based workflow: upload videos, make edits, track project state, and export results.
- Handles common issues with user-friendly error responses (e.g., file too large, token expired, out of credits).
- All processing is cloud-based with typical exports ready in 1–2 minutes.
元数据
常见问题
Video Editing Ai Hugging Face 是什么？
edit raw video footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. developers and content creators use it for... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 63 次。
如何安装 Video Editing Ai Hugging Face？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-editing-ai-hugging-face」即可一键安装，无需额外配置。
Video Editing Ai Hugging Face 是免费的吗？
是的，Video Editing Ai Hugging Face 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Editing Ai Hugging Face 支持哪些平台？
Video Editing Ai Hugging Face 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 Editing Ai Hugging Face？
由 vynbosserman65（@vynbosserman65）开发并维护，当前版本 v1.0.0。
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