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Text To Video Deepai
by
whitejohnk-26
· GitHub ↗
· v1.0.0
· MIT-0
73
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Active Installs
1
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Install in OpenClaw
/install text-to-video-deepai
Description
Turn a two-sentence description of a sunset over a mountain lake into 720p AI generated video just by typing what you need. Whether it's generating short vid...
Usage Guidance
This skill mostly behaves like a normal cloud text→video integration (it calls nemovideo.ai endpoints and needs a NEMO_TOKEN). Before installing, ask the publisher to clarify two things: (1) why the skill needs to read YAML frontmatter and probe install/config paths (~/.clawhub, ~/.cursor/skills/, ~/.config/nemovideo/), and exactly which files it will access; and (2) whether any local config data (tokens, other service credentials) might be read or uploaded. If you don't trust those behaviors, do not set NEMO_TOKEN in a long-lived/global environment variable; instead rely on the anonymous-token flow for ephemeral use, or require the publisher to remove filesystem probes. Also confirm the API host (mega-api-prod.nemovideo.ai) is the legitimate service you expect, since the skill source is unknown.
Capability Assessment
Purpose & Capability
The declared purpose (text→video via a cloud API) matches the API endpoints and token use described. However the skill's frontmatter and instructions also reference reading YAML frontmatter at runtime and detecting install paths (~/.clawhub, ~/.cursor/skills/) and a config path (~/.config/nemovideo/). The registry metadata shown earlier listed no required config paths, creating an inconsistency: probing these user home/config locations is not necessary for generating video and increases the scope of access.
Instruction Scope
SKILL.md gives concrete runtime instructions to call mega-api-prod.nemovideo.ai endpoints (session creation, SSE, upload, render polling), which is coherent. But it also instructs the agent to: read this file's YAML frontmatter at runtime, detect the agent's install path by checking specific home directories, and (implicitly) access ~/.config/nemovideo/. Those filesystem probes go beyond normal API integration and could expose unrelated files/configs; the instructions also direct saving session tokens locally which is expected but should be scoped and documented.
Install Mechanism
No install spec or code files — instruction-only skill. This is the lowest install risk because nothing external is downloaded or written by an installer.
Credentials
The skill only requires a single credential (NEMO_TOKEN), which is appropriate for an API-backed video service. However the SKILL.md metadata and instructions imply probing ~/.config/nemovideo/ and other install paths (potentially reading local config files). That broadened filesystem access is disproportionate unless justified (e.g., to pick up an existing nemo config); the top-level registry metadata did not declare these config paths, creating an unexplained mismatch.
Persistence & Privilege
always is false and the skill uses normal autonomous invocation. It asks to store session_id/token for the session which is a typical, limited persistence need for API calls. There is no request for permanent platform-wide privileges or to modify other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-deepai - After installation, invoke the skill by name or use
/text-to-video-deepai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of Text to Video DeepAI — generate 720p AI videos from short text prompts in minutes.
- Automatic setup: supports both NEMO_TOKEN and free token via anonymous registration.
- Simple workflows: send a text prompt, get a download link when ready; no need for manual exports or complex timeline editing.
- Supports credit management, video uploads, real-time session tracking, and batch processing.
- Error handling and tips included for smooth video creation and export.
- Multiple output formats supported: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
Metadata
Frequently Asked Questions
What is Text To Video Deepai?
Turn a two-sentence description of a sunset over a mountain lake into 720p AI generated video just by typing what you need. Whether it's generating short vid... It is an AI Agent Skill for Claude Code / OpenClaw, with 73 downloads so far.
How do I install Text To Video Deepai?
Run "/install text-to-video-deepai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Deepai free?
Yes, Text To Video Deepai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Deepai support?
Text To Video Deepai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Deepai?
It is built and maintained by whitejohnk-26 (@whitejohnk-26); the current version is v1.0.0.
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