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peand-rover

Text To Video Diffusion Models

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install text-to-video-diffusion-models
Description
Get AI generated clips ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, PNG, up to 10MB), say something like "gener...
Usage Guidance
This skill appears to do what it says (send prompts/files to a cloud render API and return videos), but before installing you should: 1) Note the backend host (mega-api-prod.nemovideo.ai) has no homepage listed here — verify you trust that third party before sending any sensitive or proprietary content. 2) Be aware the skill will automatically create and store an anonymous NEMO_TOKEN if you don't provide one (tokens expire and are rate-limited) — if you prefer more control, supply your own token rather than letting the skill generate one. 3) The SKILL.md frontmatter lists a config path (~/.config/nemovideo/) even though the registry said none — ask the publisher where tokens/sessions are stored and whether anything is written to disk. 4) If privacy is a concern, avoid uploading private data (scripts, confidential images) until you confirm the provider's privacy/retention policy. 5) Consider requesting the publisher's homepage or source repository for more transparency; absence of that information raises the chance the service is experimental or unreviewed.
Capability Analysis
Type: OpenClaw Skill Name: text-to-video-diffusion-models Version: 1.0.0 The skill provides a functional interface for a text-to-video generation service hosted at nemovideo.ai. It includes detailed instructions for the agent to handle authentication (via NEMO_TOKEN or anonymous UUID), session management, file uploads, and video rendering. The code and instructions in SKILL.md are strictly aligned with the stated purpose of generating AI videos and do not exhibit signs of data exfiltration, malicious execution, or unauthorized access to sensitive system files.
Capability Assessment
Purpose & Capability
Name/description (text→video generation) match the runtime instructions: the SKILL.md describes uploading prompts/files and calling a cloud render/API at mega-api-prod.nemovideo.ai. Requiring a NEMO_TOKEN is consistent. However the package metadata is inconsistent: the registry reported no required config paths, but the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) — this mismatch is unexplained.
Instruction Scope
Instructions remain within the stated scope (create session, POST prompts/files, poll render, fetch download URL). They also instruct automatic anonymous-token creation (POST to /api/auth/anonymous-token) and to store session_id/token. The skill will send user prompts and uploaded files to an external service — expected for this feature but privacy-relevant. There are no instructions to read unrelated system files, but auto-detecting X-Skill-Platform from an install path implies the agent may examine its install/runtime path.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by an installer. This is the lowest install risk.
Credentials
Only one credential (NEMO_TOKEN) is required, which fits the service. The skill will auto-obtain an anonymous NEMO_TOKEN if none is provided (POST to the provider) and instruct storing it for subsequent calls — a sometimes-surprising behavior that elevates privacy risk because credentials are created and stored on the user's behalf. No other unrelated secrets are requested.
Persistence & Privilege
always:false and normal autonomous invocation. The skill asks to persist session/token state (expected for an API client) but does not request elevated platform privileges or modify other skills. The persistence of tokens/session info is a normal behavior but worth noting as it stores credentials for later use.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install text-to-video-diffusion-models
  3. After installation, invoke the skill by name or use /text-to-video-diffusion-models
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of text-to-video-diffusion-models v1.0.0. - Generate AI videos from text prompts or uploaded files (TXT, DOCX, PDF, PNG, up to 10MB). - Automatic backend connection and token handling for new users; 100 free credits for 7 days. - Cloud rendering outputs 1080p MP4 and other formats, with simple export and download workflow. - Built-in error handling, timeline state management, and mapping of natural user requests to video actions. - Designed for marketers and creators to produce content quickly, no video editing skills required.
Metadata
Slug text-to-video-diffusion-models
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Text To Video Diffusion Models?

Get AI generated clips ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, PNG, up to 10MB), say something like "gener... It is an AI Agent Skill for Claude Code / OpenClaw, with 66 downloads so far.

How do I install Text To Video Diffusion Models?

Run "/install text-to-video-diffusion-models" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Text To Video Diffusion Models free?

Yes, Text To Video Diffusion Models is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Text To Video Diffusion Models support?

Text To Video Diffusion Models is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Text To Video Diffusion Models?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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