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dsewell-583h0

Text To Video For Studying

by dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
71
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Install in OpenClaw
/install text-to-video-for-studying
Description
Get study explainer videos ready to post, without touching a single slider. Upload your text notes (TXT, DOCX, PDF, MD, up to 50MB), say something like "turn...
Usage Guidance
This skill looks coherent with its stated purpose — it uploads your notes/media to a third-party video-rendering service (mega-api-prod.nemovideo.ai) and requires a service token (NEMO_TOKEN). Before installing, consider: 1) Privacy: any files you upload will be sent to that external service; do not upload sensitive or private data unless you trust the provider and their policies. 2) Tokens: if you don't set NEMO_TOKEN the skill will request an anonymous token automatically — understand what data that anonymous session can access and how long credits/tokens last. 3) Config path: the metadata lists ~/.config/nemovideo/ — ask the publisher what the skill reads/writes there (caching tokens, logs, etc.). 4) Attribution headers: the skill embeds X-Skill-Source/Version in requests; that is expected but means network calls include identifying metadata. 5) Verify the service domain (mega-api-prod.nemovideo.ai) and its privacy/terms before sending course materials. If you can, request from the publisher a brief explanation of why ~/.config/nemovideo/ is required and whether any user files beyond the uploaded notes will be accessed. If the skill later includes code files, installers, or additional required environment variables, re-evaluate — that would increase risk.
Capability Analysis
Type: OpenClaw Skill Name: text-to-video-for-studying Version: 1.0.0 The skill 'text-to-video-for-studying' is a legitimate integration for the NemoVideo AI service, allowing users to convert text notes into videos. It provides the AI agent with detailed instructions for managing authentication (via NEMO_TOKEN or an anonymous token endpoint), session handling, and interacting with the service's API (mega-api-prod.nemovideo.ai) for uploading content and rendering video. While it includes logic for the agent to determine its installation environment for telemetry headers (X-Skill-Platform), its behaviors are transparently aligned with its stated purpose and lack indicators of malicious intent or unauthorized data access.
Capability Assessment
Purpose & Capability
Name/description align with behavior: the skill talks to a remote video-rendering API and requires a single service token (NEMO_TOKEN). However the registry metadata declares a config path (~/.config/nemovideo/) that is not clearly referenced in the SKILL.md runtime flow — this is plausibly for caching or local config but is not explained.
Instruction Scope
The SKILL.md stays within the claimed domain: it instructs uploading user text/files, creating a session, streaming SSE responses, starting renders, and polling state. It also instructs reading the skill's YAML frontmatter (for attribution headers) and checking the agent's install path. The skill will send user content to an external domain (mega-api-prod.nemovideo.ai) and will auto-acquire an anonymous token if NEMO_TOKEN is absent — this is expected but important for privacy.
Install Mechanism
No install spec and no code files (instruction-only) — lowest-risk installation footprint. Nothing is downloaded or written by an installer.
Credentials
Only one credential is declared (NEMO_TOKEN) — appropriate for a single-backend skill. The skill will also obtain an anonymous token from the backend if no token is present (network call). The declared config path (~/.config/nemovideo/) may imply reading or writing local config; the SKILL.md does not justify this, so confirm whether local config access is required and what is stored there.
Persistence & Privilege
always is false and the skill does not request system-wide changes. It does not ask to modify other skills or global agent settings in the instructions provided.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install text-to-video-for-studying
  3. After installation, invoke the skill by name or use /text-to-video-for-studying
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — convert study notes into explainer videos effortlessly. - Upload text notes (TXT, DOCX, PDF, MD, up to 50MB) and generate 1080p MP4 videos with narration and visuals - Automatic cloud session setup: handles token generation, session management, and file uploads - Supports user prompts for editing, exporting, checking credits, and managing timeline state - Fast video rendering (1–2 minutes) with downloadable results - Clear file type and size support, helpful error guidance, and seamless workflows for study content creation
Metadata
Slug text-to-video-for-studying
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Text To Video For Studying?

Get study explainer videos ready to post, without touching a single slider. Upload your text notes (TXT, DOCX, PDF, MD, up to 50MB), say something like "turn... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.

How do I install Text To Video For Studying?

Run "/install text-to-video-for-studying" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Text To Video For Studying free?

Yes, Text To Video For Studying is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Text To Video For Studying support?

Text To Video For Studying is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Text To Video For Studying?

It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.

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