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peand-rover

Text To Video H2h

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
127
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1
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Install in OpenClaw
/install text-to-video-h2h
Description
Get talking head video ready to post, without touching a single slider. Upload your text script (TXT, DOCX, PDF, plain text, up to 500MB), say something like...
Usage Guidance
This skill is internally consistent with its purpose: it talks to the nemo video backend and asks only for NEMO_TOKEN (and can obtain an anonymous short‑lived token if you don't provide one). Before installing, consider: 1) there is no homepage or vendor listed—verify you trust mega-api-prod.nemovideo.ai and that you are comfortable uploading content to that service; 2) the skill will make network calls to mint tokens and to upload/download media — do not provide other unrelated credentials; 3) the SKILL.md frontmatter mentions a local config path (~/.config/nemovideo/) even though registry metadata did not—if you are concerned, check whether the agent will write tokens or files to disk and where; 4) if you have a paid or enterprise account, prefer supplying your own NEMO_TOKEN rather than relying on the anonymous token fallback; and 5) review your data/ privacy policy for the provider before sending sensitive scripts or media. If you want higher assurance, ask for the skill's source or an audited publisher and for details about where (and how long) uploaded media and tokens are stored.
Capability Analysis
Type: OpenClaw Skill Name: text-to-video-h2h Version: 1.0.0 The skill is a legitimate integration for a text-to-video service using the nemovideo.ai API. It handles authentication via a NEMO_TOKEN, manages user sessions, and facilitates file uploads and video rendering as described. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; all network activities and file handlings are consistent with the stated purpose of generating AI presenter videos.
Capability Assessment
Purpose & Capability
Name and description match the runtime instructions: the skill talks to mega-api-prod.nemovideo.ai to create sessions, upload scripts, render videos and return a download URL. Requesting NEMO_TOKEN (the service token) is proportionate to the stated purpose.
Instruction Scope
SKILL.md instructs the agent to: check for NEMO_TOKEN, or else POST to the service's /api/auth/anonymous-token endpoint to acquire a short‑lived anonymous token; create a session, send SSE messages, upload files (multipart or URL), poll render status, and download results. Those actions are within scope for a cloud render client, but they do involve network calls to an external endpoint and processing user-uploaded files. The instructions also say not to expose tokens or raw API output, which is good. One minor note: the SKILL frontmatter includes a config path (~/.config/nemovideo/) even though the registry metadata listed none—this is inconsistent and may imply optional local config usage.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing will be written to disk by an installer. Lowest-risk install mechanism.
Credentials
Only a single service credential (NEMO_TOKEN) is declared as required and used. The skill also implements a fallback to mint an anonymous token via the provider API if no token is present; that behavior is consistent with a service client but means the skill can obtain and use short‑lived credentials on behalf of the agent.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. The skill describes creating and using a session token for the provider but does not attempt to modify other skills or system-wide settings in the provided instructions.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install text-to-video-h2h
  3. After installation, invoke the skill by name or use /text-to-video-h2h
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Text to Video: Human to Human - Instantly turn text scripts (TXT, DOCX, PDF, up to 500MB) into 1080p MP4 talking head videos with a realistic AI presenter. - No manual sliders or video skills required — just upload your script, give a prompt, and download. - Cloud rendering pipeline: automatic session setup, secure anonymous token, and credit system (100 free credits, 7-day expiry for new users). - Clear, step-by-step workflows for uploading, editing, exporting, and tracking project state. - Supports batch processing, iterative refinement, various formats (mp4, mov, avi, webm, etc.), and fast turnaround (typically 1–3 minutes per video). - Helpful error handling, tips, and self-service troubleshooting included.
Metadata
Slug text-to-video-h2h
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 H2h?

Get talking head video ready to post, without touching a single slider. Upload your text script (TXT, DOCX, PDF, plain text, up to 500MB), say something like... It is an AI Agent Skill for Claude Code / OpenClaw, with 127 downloads so far.

How do I install Text To Video H2h?

Run "/install text-to-video-h2h" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Text To Video H2h free?

Yes, Text To Video H2h is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Text To Video H2h support?

Text To Video H2h is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Text To Video H2h?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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