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Video Clip Maker Ai

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
53
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当前安装
1
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在 OpenClaw 中安装
/install video-clip-maker-ai
功能描述
create raw footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok creators use it for generating short cli...
安全使用建议
Before installing or using this skill, consider the following: - The skill will upload your videos and related metadata to an external service at mega-api-prod.nemovideo.ai. If your footage contains sensitive or private content, do not upload it unless you trust that service and have reviewed its privacy/retention policy. - The skill auto-creates an anonymous NEMO_TOKEN if one is not provided. That token is a bearer credential valid for 7 days — ask where tokens and session IDs are stored (in memory vs written to disk) and how to revoke them. - The package has no source/homepage listed and the registry owner is unknown; lack of provenance increases risk. Prefer skills with a verifiable homepage or source repository. - There is a minor inconsistency: SKILL.md metadata references a config path (~/.config/nemovideo/) and the skill reads install paths/YAML frontmatter. Confirm what local files the skill will read and why. - If you decide to proceed: (a) use a throwaway/bound account or token, (b) avoid uploading sensitive material until you confirm retention policies, (c) monitor and revoke tokens after use, and (d) request the maintainer/source code or a privacy/terms link before wide adoption. If you want higher confidence, ask the publisher for source code or a homepage, and ask where tokens/session IDs are stored and how uploaded media are retained/deleted.
功能分析
Type: OpenClaw Skill Name: video-clip-maker-ai Version: 1.0.0 The skill is a functional integration for the NemoVideo AI service, designed to process and edit video files via a cloud API (mega-api-prod.nemovideo.ai). It handles authentication, file uploads, and session management as described in its documentation. While it performs network requests and accesses the local filesystem to upload user-provided videos, these actions are strictly aligned with its stated purpose, and there is no evidence of malicious intent, credential theft, or unauthorized data exfiltration.
能力评估
Purpose & Capability
The skill's name/description (AI video clip creation) aligns with the runtime instructions (uploading video, creating render jobs, returning download URLs). Requesting a single service token (NEMO_TOKEN) is appropriate. However, the metadata in SKILL.md lists a config path (~/.config/nemovideo/) and instructs reading install paths/YAML frontmatter, while the registry entry shows no required config paths — this inconsistency is unexplained but plausibly related to attribution; it should be clarified.
Instruction Scope
Instructions direct the agent to obtain or use a bearer token, create sessions, upload user video files (multipart upload or via URL), send/receive SSE streams, poll render endpoints, and include attribution headers. Those are expected for a cloud render service. Concerns: (1) the skill will upload user content to an external domain (mega-api-prod.nemovideo.ai) — privacy/PII risk; (2) it instructs automatically generating an anonymous token when NEMO_TOKEN is not present and persisting a session_id, but does not say where/how long tokens/session IDs are stored; (3) it instructs reading the skill's YAML frontmatter and probing install paths (~/.clawhub, ~/.cursor/skills/), which involves reading local filesystem state and may expose environment context.
Install Mechanism
This is an instruction-only skill with no install spec or code files; nothing is written to disk or downloaded by the skill bundle itself, which is the lowest-risk install pattern.
Credentials
Only one required environment variable (NEMO_TOKEN) is declared and is directly used for API authorization, which is appropriate. The SKILL.md metadata also references a config path (~/.config/nemovideo/) even though the registry lists none — that mismatch should be explained. The automatic anonymous-token flow will create a bearer token for the service; storing and refreshing that token could persist secrets if not handled carefully.
Persistence & Privilege
The skill is not marked always:true and does not request elevated agent-wide privileges. It does instruct the agent to store a session_id and reuse the token for subsequent API calls; this is typical for service integrations but you should confirm where/how long those values are persisted and whether they are written to disk.
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-clip-maker-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-clip-maker-ai 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
Video Clip Maker AI 1.0.0 - Initial Release - Create and export short video clips from raw footage (supports MP4, MOV, AVI, WebM up to 500MB) - Automatic setup and authentication with free, time-limited tokens (no prior config needed) - Upload videos, edit with AI (via prompts), and export high-quality 1080p MP4 files - Real-time cloud GPU processing for fast turnaround (typically 30-60 seconds for a short clip) - Full support for timelines, text/audio overlays, credits/balance queries, and iterative editing - Detailed error handling and user guidance for setup, uploading, export, and troubleshooting
元数据
Slug video-clip-maker-ai
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 Clip Maker Ai 是什么?

create raw footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. TikTok creators use it for generating short cli... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 53 次。

如何安装 Video Clip Maker Ai?

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

Video Clip Maker Ai 是免费的吗?

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

Video Clip Maker Ai 支持哪些平台?

Video Clip Maker Ai 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 Clip Maker Ai?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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