Sora2 AI Video Generator (aiznt-sora2) for Openclaw

An AI-powered text-to-video generation skill that leverages Sora2 models via secure proxy interfaces for seamless video creation.

wangshengli0421
v1.0.0
Mar 21, 2026
0
809
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install aiznt-sora2

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install aiznt-sora2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Sora2 AI Video Generator (aiznt-sora2)?

The Sora2 AI Video Generator is a powerful extension for the Openclaw Skills ecosystem, designed to facilitate high-quality video production through simple text prompts. By utilizing the aiznt-sora2 skill, developers can programmatically submit video generation tasks and monitor their progress until completion. This skill acts as a bridge between your local environment and advanced Sora2 models like sora-2-pro, ensuring a smooth, asynchronous workflow for media creation.

At its core, this skill simplifies the complex process of interacting with high-end video AI models. It handles authentication via Tiantree tokens and manages API proxies, allowing you to focus on the creative aspects of video generation rather than the underlying network infrastructure. It is an essential tool for developers building agentic workflows that require dynamic video content within the Openclaw Skills framework.

Sora2 AI Video Generator (aiznt-sora2) Use Cases

  • Automating short video content creation for social media marketing.
  • Generating visual prototypes and cinematic placeholders for game development.
  • Integrating AI-driven video synthesis into automated creative pipelines.
  • Testing different Sora2 model versions (e.g., sora_video2 vs. sora-2-pro) for specific visual styles.

How Sora2 AI Video Generator (aiznt-sora2) Works

  1. The user provides a text prompt and selects a specific Sora2 model (e.g., sora_video2).
  2. The skill executes a submit command which sends a POST request to the configured generation proxy.
  3. The system returns a unique task ID, confirming that the video generation has been queued.
  4. The user or an automated script polls the fetch endpoint using the task ID to check the generation status.
  5. Once the process is complete, the skill retrieves the final video URL or artifact metadata.

Sora2 AI Video Generator (aiznt-sora2) Setup

To begin using this skill within the Openclaw Skills framework, ensure you have Node.js 18 or higher installed.

  1. Synchronize your Tiantree credentials or manually set the TS_TOKEN environment variable.
  2. Configure the AIZNT_PROXY_URLS JSON string to include the necessary endpoints:
export TS_TOKEN="your_tiantree_token"
export AIZNT_PROXY_URLS='{"v2_videos_generations": "...", "v2_videos_generations_fetch": "..."}'
  1. Submit a video generation task:
node scripts/sora2.js submit --body '{"prompt":"A coffee cup on a wooden table, slow pan","model":"sora_video2"}'
  1. Monitor the task status:
node scripts/sora2.js fetch --task-id <your_task_id>

Sora2 AI Video Generator (aiznt-sora2) Data Schema & Taxonomy

The skill organizes interaction data based on task IDs and proxy configurations as part of the Openclaw Skills environment.

Component Description
TS_TOKEN Primary Bearer token for authentication.
AIZNT_PROXY_URLS A JSON map containing generation and polling URLs.
Task ID A unique identifier used to track the lifecycle of a video generation request.
Response Body JSON containing task status (pending, processing, success, fail) and asset links.

Sora2 AI Video Generator (aiznt-sora2) Advanced Features

  • Asynchronous task management allowing for non-blocking video generation workflows.
  • Dynamic URL template matching where {task_id} is automatically injected into polling requests.
  • Multi-model support compatible with various Sora2 iterations and specialized video architectures.
  • Zero-dependency architecture leveraging native Node.js global fetch for high performance.
  • Seamless integration with the broader suite of Openclaw Skills for complex agentic workflows.

SKILL.md


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