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Wan Ai Leading Ai Video Generation Model
by
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
101
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0
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0
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1
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Install in OpenClaw
/install wan-ai-leading-ai-video-generation-model
Description
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 (...
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wan-ai-leading-ai-video-generation-model - After installation, invoke the skill by name or use
/wan-ai-leading-ai-video-generation-model - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Wan Ai Leading Ai Video Generation Model?
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 (... It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.
How do I install Wan Ai Leading Ai Video Generation Model?
Run "/install wan-ai-leading-ai-video-generation-model" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Wan Ai Leading Ai Video Generation Model free?
Yes, Wan Ai Leading Ai Video Generation Model is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Wan Ai Leading Ai Video Generation Model support?
Wan Ai Leading Ai Video Generation Model is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Wan Ai Leading Ai Video Generation Model?
It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.
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