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Text To Video Models
by
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
67
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0
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0
Active Installs
1
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Install in OpenClaw
/install text-to-video-models
Description
Skip the learning curve of professional editing software. Describe what you want — generate a 10-second clip of a sunset over a city skyline with cinematic c...
Usage Guidance
This skill will send your prompts, uploaded files (up to 500MB), and a session token to an external API at mega-api-prod.nemovideo.ai and may create a temporary anonymous token if you don't supply NEMO_TOKEN. Before installing: (1) confirm the skill's source/homepage and privacy/retention policy for uploaded files, (2) avoid uploading sensitive or proprietary files, (3) prefer supplying your own API token if you trust the provider, (4) ask why the skill frontmatter mentions ~/.config/nemovideo/ (the registry metadata did not) — that could indicate it expects local config access, and (5) verify any costs/credits and how tokens are used/expired. If you can't verify the source or data handling, consider not installing or only using dummy/test content.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-models
Version: 1.0.0
The skill bundle provides a legitimate integration for a text-to-video generation service via the nemovideo.ai API. It handles authentication (using NEMO_TOKEN or anonymous tokens), session management, and video rendering workflows as described in SKILL.md. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the requested access to ~/.config/nemovideo/ and environment variables is consistent with the tool's stated purpose.
Capability Assessment
Purpose & Capability
The declared purpose (text-to-video generation) matches the API endpoints and flows described in SKILL.md and the single required credential (NEMO_TOKEN). However the SKILL.md frontmatter lists a required config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — an inconsistency between packaging and runtime instructions that should be clarified.
Instruction Scope
Instructions tell the agent to create or use a bearer token, upload user files (up to 500MB) and send them to https://mega-api-prod.nemovideo.ai, start render jobs, read SSE streams, and poll state. Uploading arbitrary user files and session state to an external service is expected for this kind of skill, but it is sensitive: users' uploads and generated tokens will be sent off-platform. The doc also asks to auto-detect an install path for X-Skill-Platform attribution (vague) and requires specific attribution headers on every request — this is operationally fine but enforces outgoing requests that identify the skill. The instructions do not ask for unrelated local files or secrets, but the file-upload and token-creation behaviors are the primary privacy/risk surface.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only. That minimizes disk/installation risk because nothing will be downloaded or written by an installer.
Credentials
Only one env var (NEMO_TOKEN) is declared as required/primary, which is proportionate for a cloud API client. The SKILL.md also documents a fallback anonymous-token flow (generates a UUID and obtains a temporary token), which means the skill can operate without a user-provided secret. The discrepancy between the registry's 'no config paths' and the frontmatter's configPaths entry (~/.config/nemovideo/) should be resolved — requesting access to a user's config directory would be more sensitive and needs justification.
Persistence & Privilege
always is false and the skill does not request persistent platform-level privileges. Autonomous invocation is allowed (platform default) — combined with outbound network access this increases blast radius but is normal for an API-based generator. The skill does not claim to modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-models - After installation, invoke the skill by name or use
/text-to-video-models - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Text to Video Models — generate AI videos from text prompts.
- Upload text files or describe your video idea to generate 10-second AI video clips in about 1–3 minutes.
- Supports TXT, DOCX, PDF, and CSV uploads up to 500MB.
- Integrated cloud render pipeline with 1080p MP4 output.
- Session-based workflow enables iterative editing and batch processing.
- Handles credits, exports, file upload, and status via easy chat commands.
- Designed for marketers, filmmakers, and content creators seeking simple, camera-free video generation.
Metadata
Frequently Asked Questions
What is Text To Video Models?
Skip the learning curve of professional editing software. Describe what you want — generate a 10-second clip of a sunset over a city skyline with cinematic c... It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.
How do I install Text To Video Models?
Run "/install text-to-video-models" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Models free?
Yes, Text To Video Models is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Models support?
Text To Video Models is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Models?
It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.
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