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Text To Video Free Demo
by
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
66
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Install in OpenClaw
/install text-to-video-free-demo
Description
Turn a two-sentence product description into 1080p generated video clips just by typing what you need. Whether it's generating videos from written text witho...
Usage Guidance
This skill appears to do what it says (cloud-based text→video) and only asks for one credential (NEMO_TOKEN). Before installing: 1) Confirm you want uploads and final videos sent to the external domain mega-api-prod.nemovideo.ai and are comfortable with that provider's privacy and retention policies. 2) Consider creating a limited/throwaway NEMO_TOKEN or use the anonymous flow rather than a shared long-lived token. 3) Note the skill asks the agent to probe local install paths (~/.clawhub/, ~/.cursor/skills/) to set an attribution header — if you prefer not to expose filesystem layout, ask the skill author to stop that behavior. 4) The frontmatter mentions a config path (~/.config/nemovideo/) even though the registry listed none; verify whether the skill will read or write files there. If you need higher assurance, request source code or an explicit privacy/security statement from the publisher before granting credentials.
Capability Analysis
Type: OpenClaw Skill
Name: text-to-video-free-demo
Version: 1.0.0
The skill is a functional integration for an AI video generation service (nemovideo.ai). It handles session management, file uploads, and credit tracking through standard REST and SSE endpoints. While it requests access to a specific configuration directory (~/.config/nemovideo/) and environment variables (NEMO_TOKEN), these are strictly aligned with its stated purpose of providing a text-to-video interface, and no evidence of data exfiltration or malicious execution was found.
Capability Assessment
Purpose & Capability
The name/description (text-to-video demo) aligns with the network endpoints, upload, export and SSE flows described in SKILL.md and the single required credential (NEMO_TOKEN). However, the skill's frontmatter requests a config path (~/.config/nemovideo/) and asks the agent to detect install path for attribution headers; these filesystem accesses are not strictly necessary to provide text→video functionality and are inconsistent with the registry metadata that lists no required config paths.
Instruction Scope
SKILL.md instructs the agent to make multiple network calls to mega-api-prod.nemovideo.ai (session creation, SSE chat, upload, export polling) and to upload user files to that third-party service — consistent with a cloud render pipeline. It also directs the agent to generate a UUID for anonymous auth if no NEMO_TOKEN is present. The potentially unexpected instruction: detect local install path (~/.clawhub/ or ~/.cursor/skills/) and include that in attribution headers (reads filesystem). This is beyond strictly required video-generation behavior and should be considered privacy-sensitive.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes on-disk code risk; there is nothing downloaded or installed by the skill itself.
Credentials
The skill requests a single primary secret, NEMO_TOKEN, which is proportional to a cloud API integration. It also documents a config path in the YAML frontmatter (~/.config/nemovideo/) that the registry metadata did not list — an inconsistency. The SKILL.md will create and use an anonymous token when NEMO_TOKEN is absent; that behavior is plausible but means the agent will call the external auth endpoint and share a generated client id with the service.
Persistence & Privilege
always:false and disable-model-invocation:false (normal). The skill does not request permanent presence or permissions to modify other skills or system-wide config. It does instruct normal session creation and polling against the external service, but nothing indicates it persists beyond ordinary session tokens.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install text-to-video-free-demo - After installation, invoke the skill by name or use
/text-to-video-free-demo - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Text to Video Free Demo - Initial Release
- Instantly convert product descriptions or short text prompts into 1080p AI-generated video clips—no editing or exporting steps required.
- Automatic backend connection: uses environment token if present, otherwise grants a free starter token (100 credits, 7-day validity).
- Supports quick export, credits checking, status viewing, and uploading, all routed by smart intent recognition.
- Cloud rendering pipeline: generates, edits, and exports videos (MP4 and more) within 30–90 seconds.
- Built-in error handling for authentication, file format/size, export permissions, and credits.
- Easily preview timeline summaries, manage media tracks, and refine videos iteratively in one streamlined chat-driven workflow.
Metadata
Frequently Asked Questions
What is Text To Video Free Demo?
Turn a two-sentence product description into 1080p generated video clips just by typing what you need. Whether it's generating videos from written text witho... It is an AI Agent Skill for Claude Code / OpenClaw, with 66 downloads so far.
How do I install Text To Video Free Demo?
Run "/install text-to-video-free-demo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Text To Video Free Demo free?
Yes, Text To Video Free Demo is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Text To Video Free Demo support?
Text To Video Free Demo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Text To Video Free Demo?
It is built and maintained by francemichaell-15 (@francemichaell-15); the current version is v1.0.0.
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