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linmillsd7

Text To Video Free

by linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
102
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install text-to-video-free
Description
Get ready-to-share videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, copied text, up to 500MB), say something...
Usage Guidance
This skill appears to do what it says: it will send your text/files to an external API (mega-api-prod.nemovideo.ai) to render videos and return download URLs. Before installing/using: (1) be comfortable that your content (up to 500MB) will be transmitted to that external service; avoid uploading sensitive data or secrets; (2) the skill will read an environment variable named NEMO_TOKEN if present — do not put unrelated credentials in that variable; (3) if no NEMO_TOKEN is present the skill will request an anonymous token from the service (7-day starter credits) — this is normal but still results in network activity; (4) the instructions may check common install/config paths to set attribution headers (this requires filesystem access) — if you prefer, run the skill in an environment where those paths are not present or where the agent is sandboxed; (5) there is a small metadata/documentation inconsistency (registry metadata vs SKILL.md configPaths) — if that matters to you, ask the publisher to clarify the intended config path access. If you need higher assurance, verify the service domain and privacy policy or limit uploads to non-sensitive content.
Capability Analysis
Type: OpenClaw Skill Name: text-to-video-free Version: 1.0.0 The skill bundle provides instructions for an AI agent to interface with the NemoVideo API (mega-api-prod.nemovideo.ai) for text-to-video generation. It outlines standard API workflows including authentication via environment variables or anonymous tokens, session management, and file uploads. The instructions in SKILL.md are consistent with the stated purpose and do not contain evidence of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
The name/description (text→video) aligns with the actions in SKILL.md: creating sessions, uploading text/files, streaming SSE updates, rendering and returning download URLs. Required credential (NEMO_TOKEN) is appropriate for an API-backed service. Minor inconsistency: the registry metadata supplied to you lists no required config paths, but the SKILL.md frontmatter includes metadata that references a config path (~/.config/nemovideo/) and install-path detection for attribution headers. That difference is a documentation mismatch but does not by itself break purpose–capability alignment.
Instruction Scope
All instructions stay within the video-rendering workflow (auth, session creation, SSE messaging, uploads, polling render status, download). The skill explicitly instructs how to obtain an anonymous token if NEMO_TOKEN is missing, and how to upload local files (multipart -F 'files=@/path') which legitimately requires access to user-provided files. Two items to note: (1) the SKILL.md says to detect an install path (e.g., ~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform — that requires checking filesystem locations; (2) it instructs the agent to keep technical details out of chat, which can obscure network activity from user-visible messages. These are scope/visibility issues rather than outright abuse.
Install Mechanism
No install spec and no code files — the skill is instruction-only. That minimizes disk-writing/execution risk.
Credentials
Only NEMO_TOKEN is declared as required (primaryEnv). That is proportionate for an API-backed service. The SKILL.md also supports generating an anonymous token if no NEMO_TOKEN is present (network call to the service), which is reasonable. Again, the SKILL.md frontmatter references a config path (~/.config/nemovideo/) while the registry metadata did not — a minor inconsistency to clarify.
Persistence & Privilege
always:false (default) and no install-time persistence requested. The skill can be invoked autonomously per platform defaults, which is normal; nothing in the manifest attempts to force permanent inclusion or modify other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install text-to-video-free
  3. After installation, invoke the skill by name or use /text-to-video-free
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Text to Video Free 1.0.0 — Initial Release - Instantly convert text prompts (TXT, DOCX, PDF, or pasted text up to 500MB) into ready-to-share 1080p MP4 videos. - No camera or editing skills needed — just upload your content and describe how you'd like it transformed. - Supports background music, aspect ratio, text overlays, and visual customization via guided prompts. - All processing happens on remote GPU nodes; no local install required. - Includes session management, free token on first use, job status updates, and easy download links for finished videos. - Error handling and workflow tips for a smooth editing experience.
Metadata
Slug text-to-video-free
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 Free?

Get ready-to-share videos ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, copied text, up to 500MB), say something... It is an AI Agent Skill for Claude Code / OpenClaw, with 102 downloads so far.

How do I install Text To Video Free?

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

Is Text To Video Free free?

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

Which platforms does Text To Video Free support?

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

Who created Text To Video Free?

It is built and maintained by linmillsd7 (@linmillsd7); the current version is v1.0.0.

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