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Video Editor Ai Kissing
作者
vynbosserman65
· GitHub ↗
· v1.0.0
· MIT-0
54
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-editor-ai-kissing
功能描述
create video clips into edited romantic clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for adding AI-genera...
安全使用建议
This skill will upload your video files to an external service (mega-api-prod.nemovideo.ai) and will create/use an authorization token (it can generate an anonymous token if you haven't provided one). Before installing or using it: (1) confirm you trust the remote service and review its privacy/terms (especially because video content can be sensitive or depict people); (2) ask the publisher for a source repository or homepage — none is listed, which reduces transparency; (3) be aware the skill may persist session tokens/config under ~/.config/nemovideo/ (the frontmatter mentions this even though the registry summary did not); (4) avoid sending private/sensitive footage until you verify where data is stored, how long it is retained, and how they handle consent for generated/altered content; (5) if you need to proceed, prefer providing your own NEMO_TOKEN (so the skill doesn't create an anonymous token itself) and request details about token lifecycle and storage. If the publisher can supply source code or a privacy policy and reconcile the configPath metadata, that would reduce uncertainty.
功能分析
Type: OpenClaw Skill
Name: video-editor-ai-kissing
Version: 1.0.0
The skill is a functional wrapper for an AI video editing service hosted at nemovideo.ai. It handles authentication via environment variables or anonymous token generation and manages video processing through standard REST and SSE API calls. The instructions in SKILL.md are strictly aligned with the stated purpose of editing videos and include security best practices, such as instructing the agent not to display raw tokens or API responses to the user.
能力评估
Purpose & Capability
The skill's name and instructions clearly describe a cloud video-editing service that uploads user video, creates sessions, and returns edited MP4s — that matches the claimed purpose. However, registry metadata earlier said no required config paths while the SKILL.md frontmatter declares a configPaths value (~/.config/nemovideo/). The package has no source/homepage listed which reduces transparency.
Instruction Scope
The SKILL.md instructs the agent to obtain/use an authorization token, create sessions, upload user files (multipart file uploads or URL-based uploads), stream SSE responses, poll render status, and return download URLs. Those network calls and file uploads are coherent with video processing, but they also mean user videos (potentially sensitive) will be sent to a third-party domain (mega-api-prod.nemovideo.ai). The skill also instructs the agent to automatically obtain an anonymous token if NEMO_TOKEN is not present — this enables the skill to contact the external service without an explicit pre-provided credential. The doc tells the agent not to display raw API responses or tokens, which could hide backend responses from users. The instructions don't specify where session_id/token are stored (persistence location), and rely on an 'install path' to auto-detect platform even though there is no installer.
Install Mechanism
There is no install spec and no code files — this is instruction-only. That minimizes local disk footprint and installer risk.
Credentials
The skill declares a single required env var (NEMO_TOKEN), which is appropriate for a remote service. However, the SKILL.md frontmatter also lists a configPaths entry (~/.config/nemovideo/) that was not reflected in the registry summary — that inconsistency suggests the skill expects access to local config files or will create them. The agent is also instructed to generate/store an anonymous token at runtime, which effectively creates credentials on behalf of the user and may persist them; that persistence and the unlisted config path are disproportionate unless you intend to allow local config/token storage.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does instruct the agent to automatically connect on first use and to store session_id and tokens for subsequent requests, so it will establish ongoing sessions with the remote backend. That persistent session behavior is expected for a cloud render service but worth noting because it allows continued interaction with the external API until tokens expire or are revoked.
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-editor-ai-kissing - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-editor-ai-kissing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 Editor AI Kissing – Add AI-generated kissing scenes or transitions to your videos.
- Supports MP4, MOV, AVI, WebM uploads up to 500MB and exports 1080p MP4 files.
- Easy onboarding: automatic authentication and setup with a free token for first-time users.
- Cloud GPU processing delivers results in 1–2 minutes; queue and track jobs in your session.
- User commands for uploading, editing, checking credits, status, and exporting videos.
- Error handling covers file types, size limits, credits, and authentication issues.
- Designed for content creators seeking fast, natural-looking AI scene blends.
元数据
常见问题
Video Editor Ai Kissing 是什么？
create video clips into edited romantic clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for adding AI-genera... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 54 次。
如何安装 Video Editor Ai Kissing？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-editor-ai-kissing」即可一键安装，无需额外配置。
Video Editor Ai Kissing 是免费的吗？
是的，Video Editor Ai Kissing 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Editor Ai Kissing 支持哪些平台？
Video Editor Ai Kissing 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 Editor Ai Kissing？
由 vynbosserman65（@vynbosserman65）开发并维护，当前版本 v1.0.0。
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