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Text To Video Llm
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
71
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0
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0
Active Installs
1
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Install in OpenClaw
/install text-to-video-llm
Description
generate text prompts into AI generated videos with this skill. Works with TXT, DOCX, PDF, plain text files up to 500MB. marketers, content creators, develop...
Usage Guidance
Before installing, consider that this skill will: automatically contact https://mega-api-prod.nemovideo.ai and may create and store an anonymous auth token and session ID (SKILL.md suggests ~/.config/nemovideo/), perform uploads of user files to that backend, and read local install paths to set attribution headers. If you care about transparency or auditability, prefer to: (1) supply your own NEMO_TOKEN from an account you control rather than allowing automatic anonymous-token creation; (2) confirm where the token/session will be written and inspect the file(s) or refuse storage; (3) review the privacy/terms of nemovideo.ai and whether uploaded inputs (up to 500MB) may be stored or used for training; and (4) be cautious about using the skill with sensitive text or files. Also note the SKILL.md frontmatter lists a config path not declared in the registry metadata — ask the publisher to clarify where persistent data is stored before proceeding.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-llm
Version: 1.0.0
The skill provides a functional interface for a text-to-video generation service hosted at nemovideo.ai. It follows standard API patterns for authentication (using NEMO_TOKEN), session management, and file uploads, with instructions that align closely with its stated purpose. While it includes telemetry-like attribution by checking the installation path (e.g., ~/.clawhub/), there is no evidence of data exfiltration, malicious code execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description and the declared primary credential (NEMO_TOKEN) are consistent with a cloud video-generation backend. However, the skill's YAML frontmatter (in SKILL.md) declares a config path (~/.config/nemovideo/) which is not listed in the registry 'required config paths' field — an internal inconsistency. Requiring NEMO_TOKEN is proportionate to the service's purpose.
Instruction Scope
The SKILL.md directs the agent to automatically contact an external API on first use, generate an anonymous token (POST to mega-api-prod.nemovideo.ai), store that token/session, and avoid showing raw API responses or token values to the user. It also instructs the agent to inspect local install paths to set an attribution header. Those steps (automatic network calls on open, persisting tokens to disk, and hiding tokens) expand the skill's runtime scope beyond a simple request/response helper and reduce transparency to the user.
Install Mechanism
Instruction-only skill with no install spec or code files — minimal surface for arbitrary code execution. This is the lowest-risk install model.
Credentials
Only one environment credential (NEMO_TOKEN) is declared, which is appropriate for an API-backed video service. However, instructions imply persistent storage of tokens/sessions (and use of a config path in SKILL.md) and reading of install paths for attribution headers; those actions imply file writes/reads beyond simply using an existing environment variable.
Persistence & Privilege
The skill does not request always:true and is user-invocable (normal). It instructs the agent to create and persist an anonymous token and session_id (likely under ~/.config/nemovideo/ per SKILL.md frontmatter). Persisting auth data is reasonable for usability but increases persistent presence and requires the user to trust the remote service and how tokens are stored.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-llm - After installation, invoke the skill by name or use
/text-to-video-llm - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of text-to-video-llm skill.
- Generate AI-powered videos from text prompts using TXT, DOCX, PDF, or plain text files (up to 500MB).
- Automated setup and authentication, with 100 free credits for new users.
- Supports export of 1080p MP4 videos after 1–3 minutes of cloud GPU processing.
- Seamless user interactions covering upload, status, credits, and export actions.
- Cloud render pipeline handles compositing, compression, and media output with clear error handling and feedback.
Metadata
Frequently Asked Questions
What is Text To Video Llm?
generate text prompts into AI generated videos with this skill. Works with TXT, DOCX, PDF, plain text files up to 500MB. marketers, content creators, develop... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.
How do I install Text To Video Llm?
Run "/install text-to-video-llm" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Llm free?
Yes, Text To Video Llm is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Llm support?
Text To Video Llm is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Llm?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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