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Text To Video Open Source
by
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
89
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Install in OpenClaw
/install text-to-video-open-source
Description
Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video clip from this scene description: a fox running...
Usage Guidance
This skill appears to be what it claims: it will send your text and any uploaded files (up to 500MB) to the nemovideo API and needs a NEMO_TOKEN to authenticate. Before installing, consider: 1) any files you upload will be transmitted to an external service — do not upload sensitive/private data unless you trust the provider; 2) if you don't set NEMO_TOKEN, the skill will request an anonymous token from the nemovideo endpoint automatically (i.e., it will make outbound network calls); 3) the skill may store session/token data under ~/.config/nemovideo/ per its metadata — review or clear that directory if you later uninstall; and 4) prefer providing your own NEMO_TOKEN (and verify the nemo domain) rather than relying on anonymous tokens. If you need higher assurance, ask the skill author for a privacy/data-retention policy or test with non-sensitive content first.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-open-source
Version: 1.0.0
The skill bundle is a functional integration for a video generation service hosted at nemovideo.ai. The SKILL.md file provides instructions for the agent to manage authentication via an anonymous token flow, handle session state, and interact with specific API endpoints for video processing and export. There is no evidence of data exfiltration, unauthorized system access, or malicious prompt injection; the behavior is consistent with the stated purpose of providing a text-to-video interface.
Capability Assessment
Purpose & Capability
Name/description promise (generate short videos from text) matches the declared requirement (NEMO_TOKEN) and the SKILL.md lists API endpoints for session creation, SSE chat, upload, and export which are all appropriate for a cloud render/video service.
Instruction Scope
Instructions direct the agent to create sessions, use SSE for generation, upload user files up to 500MB, and poll export endpoints — all expected. The SKILL.md also instructs creating an anonymous token (POST to the nemovideo anonymous-token endpoint) when NEMO_TOKEN is absent; this is a legitimate fallback but means the skill will call an external API autonomously if no token is provided. The doc also uses install-path detection to set attribution headers, which requires access to the agent's install path.
Install Mechanism
No install spec or code files are provided (instruction-only), so there is no package download or arbitrary code install risk from this skill itself.
Credentials
The single required env var (NEMO_TOKEN) is appropriate for an API-backed video service. Minor inconsistency: requires.env lists NEMO_TOKEN but the runtime instructions include an explicit fallback that fetches an anonymous token if NEMO_TOKEN is missing. Metadata also declares a config path (~/.config/nemovideo/) which may be used to store session/token data — plausible but worth noting.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and does not require elevated system privileges. It may store or read its own config (implied) but nothing in the manifest indicates system-wide changes.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-open-source - After installation, invoke the skill by name or use
/text-to-video-open-source - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Generate 15-second AI videos from text prompts with open-source cloud rendering.
- Upload TXT, DOCX, PDF, SRT files up to 500MB and generate videos automatically.
- No editing software needed — describe your scene and receive a 1080p MP4 in 1–3 minutes.
- Cloud-based backend manages sessions, credits, and job tracking for seamless user experience.
- Supports multi-track video (visuals, audio, text overlays); handles updates and exports.
- Built-in error handling guides you if you hit file size, format, or export limitations.
Metadata
Frequently Asked Questions
What is Text To Video Open Source?
Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video clip from this scene description: a fox running... It is an AI Agent Skill for Claude Code / OpenClaw, with 89 downloads so far.
How do I install Text To Video Open Source?
Run "/install text-to-video-open-source" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Open Source free?
Yes, Text To Video Open Source is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Open Source support?
Text To Video Open Source is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Open Source?
It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.
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