← 返回 Skills 市场
francemichaell-15

Wan Ai Leading Ai Video Generation Model

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
101
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install wan-ai-leading-ai-video-generation-model
功能描述
Cloud-based wan-ai-leading-ai-video-generation-model tool that handles generating short videos from text or image prompts. Upload MP4, PNG, JPG, WebM files (...
安全使用建议
This skill appears coherent for a cloud-based video-generation service, but consider these practical points before installing: (1) The skill will make network calls automatically on first use and may obtain an anonymous token if you don't provide NEMO_TOKEN—if you prefer to control credentials, set NEMO_TOKEN yourself rather than relying on anonymous issuance. (2) It will upload files you give it; avoid sending private or sensitive files. (3) The skill will store session IDs/tokens for ongoing calls but doesn't specify secure storage—treat those tokens as sensitive. (4) Confirm you trust the endpoint (mega-api-prod.nemovideo.ai) and the service's privacy policies before using. If you want tighter control, provide your own NEMO_TOKEN and avoid opening the skill until ready to upload content.
功能分析
Type: OpenClaw Skill Name: wan-ai-leading-ai-video-generation-model Version: 1.0.0 The skill bundle provides a legitimate integration for the Wan AI video generation service via the nemovideo.ai API. It includes detailed instructions for the agent to handle authentication (including anonymous token generation), session management, file uploads, and video rendering workflows. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found; the behavior is entirely consistent with the stated purpose of generating AI videos.
能力评估
Purpose & Capability
Name/description, required env var (NEMO_TOKEN), and the API endpoints referenced all align with a cloud video-generation service. No unrelated credentials, binaries, or install steps are requested.
Instruction Scope
Runtime instructions are focused on authenticating, creating a session, streaming SSE messages, uploading files, polling render status, and returning download URLs—all expected for this purpose. Two items to note: (1) the skill instructs the agent to connect automatically the first time the skill is opened (it will call remote APIs without an extra explicit prompt), and (2) it says to store the returned session_id (and will obtain an anonymous token if NEMO_TOKEN is not present) but does not specify secure storage rules. The skill will access local files only when uploading them (multipart file path or URL) which is necessary for the feature.
Install Mechanism
No install spec and no code files are present (instruction-only). This is the lowest-risk model from an install perspective — nothing is downloaded or written by an installer step.
Credentials
Only one environment variable is required (NEMO_TOKEN) and it is the expected credential for the described API. The metadata also references a config path (~/.config/nemovideo/) and uses install-path detection for an attribution header; these are plausible for this service. Tokens and session IDs are sensitive and the instructions' use of them is proportional to the service.
Persistence & Privilege
The skill asks the agent to store session_id and to use/obtain a token if none is present. always:false and no other elevated privileges are requested. Storing tokens/session IDs is normal for a remote-service integration, but the SKILL.md is vague about where/how to store them securely.
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 wan-ai-leading-ai-video-generation-model
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /wan-ai-leading-ai-video-generation-model 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
Wan AI Leading AI Video Generation Model — Initial Release - Generate 1080p MP4 videos from text or image prompts via a cloud-based pipeline. - Supports file uploads (MP4, PNG, JPG, WebM up to 200MB) and returns processed video within 1-3 minutes. - Provides session-based workflow with automatic backend connection and authentication handling (including free trial credits). - User prompts are auto-classified for actions like video generation, export, checking credits, and uploading files. - Includes robust handling for API response translation, draft timelines, status tracking, error codes, and export attribution. - Designed for content creators, marketers, and filmmakers seeking fast and simple text-to-video creation.
元数据
Slug wan-ai-leading-ai-video-generation-model
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

Wan Ai Leading Ai Video Generation Model 是什么?

Cloud-based wan-ai-leading-ai-video-generation-model tool that handles generating short videos from text or image prompts. Upload MP4, PNG, JPG, WebM files (... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 101 次。

如何安装 Wan Ai Leading Ai Video Generation Model?

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

Wan Ai Leading Ai Video Generation Model 是免费的吗?

是的,Wan Ai Leading Ai Video Generation Model 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Wan Ai Leading Ai Video Generation Model 支持哪些平台?

Wan Ai Leading Ai Video Generation Model 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 Wan Ai Leading Ai Video Generation Model?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

💬 留言讨论