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Text To Video Kaggle
by
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
64
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1
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Install in OpenClaw
/install text-to-video-kaggle
Description
Skip the learning curve of professional editing software. Describe what you want — generate a video from this text description: 'a dog running through a sunn...
Usage Guidance
This skill appears to do what it says (call a remote NemoVideo API to render text→video) and only asks for a single token. Before installing, consider: 1) Where would you get NEMO_TOKEN? Only provide tokens from trusted sources. 2) The skill will upload user files and may store session data in ~/.config/nemovideo/ — avoid sending sensitive files. 3) The SKILL.md asks the agent to detect local install paths and to 'keep technical details out of the chat' — if you want transparency about network calls, ask the skill to show logs or deny filesystem probing. 4) The skill has no homepage and its source is unknown; prefer skills backed by a known project or provider. If you need lower exposure, use the anonymous-token fallback (limited-time credits) or test with non-sensitive data first.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-kaggle
Version: 1.0.0
The skill is a functional wrapper for the NemoVideo AI text-to-video service, designed to facilitate video generation from text prompts. It manages API sessions, handles file uploads to 'mega-api-prod.nemovideo.ai', and automates the rendering and export of MP4 videos. The instructions in SKILL.md provide clear guidance for the AI agent on handling authentication (including a fallback for anonymous tokens), session state, and error codes. No evidence of malicious intent, unauthorized data exfiltration, or harmful prompt injection was found.
Capability Assessment
Purpose & Capability
Name/description (generate videos from text) align with the single requested credential (NEMO_TOKEN) and the API endpoints described. No unrelated cloud credentials or unrelated binaries are requested.
Instruction Scope
Instructions instruct the agent to obtain/use NEMO_TOKEN (or fetch an anonymous token), create sessions, upload files, run SSE endpoints, and poll render jobs — all consistent with a remote render service. However the SKILL.md also instructs the agent to detect install paths (~/.clawhub/, ~/.cursor/skills/) and to keep technical details out of the chat. Detecting filesystem paths is not strictly necessary for basic text→video functionality and could expose local state; 'keep technical details out of the chat' may obscure network/activity details from users. These are scope/privacy concerns.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. Nothing is downloaded or written by an installer.
Credentials
Only one credential is required (NEMO_TOKEN), which is proportionate to a hosted video-rendering API. The registry metadata also declares a config path (~/.config/nemovideo/) which could be used to store tokens or session state; this is plausible but not strictly justified in the documentation and may grant the skill access to local config files.
Persistence & Privilege
Skill is not always-on and does not request system-wide privileges. It does instruct the agent to create sessions and poll remote jobs, which is normal for this use-case. It does not request modifying other skills or system settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-kaggle - After installation, invoke the skill by name or use
/text-to-video-kaggle - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — generate AI videos from text prompts, built for data scientists and ML researchers.
- Accepts text prompts and related uploads (TXT, CSV, JSON, MP4 up to 200MB) to generate AI videos in 1–3 minutes.
- Automated connection: obtains API token and session before any request.
- Supports video generation, asset upload, credit checks, export (MP4 and more), and timeline state fetch.
- Cloud rendering with real-time feedback; jobs handled on remote GPU nodes.
- Summarizes timeline state and handles API errors (e.g., token expiry, file size, credits).
Metadata
Frequently Asked Questions
What is Text To Video Kaggle?
Skip the learning curve of professional editing software. Describe what you want — generate a video from this text description: 'a dog running through a sunn... It is an AI Agent Skill for Claude Code / OpenClaw, with 64 downloads so far.
How do I install Text To Video Kaggle?
Run "/install text-to-video-kaggle" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Kaggle free?
Yes, Text To Video Kaggle is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Kaggle support?
Text To Video Kaggle is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Kaggle?
It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.
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