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Ai Video Producer

Unverified
zysilm-ai·v1.0.0·ai-ml·MIT

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Repository

Install on your platform

Showing OpenClaw.

  1. 1

    Run this in your terminal

    terminal
    $ openclaw skills install ai-video-producer

What we know about this skill

Publisher

zysilm-ai

Taken from the source listing. We haven't verified who controls this account.

Install target

Pinned to 56d760af

Installs fetch a stored snapshot of that commit, so the code can't change after the fact.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: download.pytorch.org.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

    Hosts contacted

    127.0.0.1localgithub.comsource hosthuggingface.comodel providerdownload.pytorch.orgundeclared

    What it found

    • scripts/setup_comfyui.py:253contacts download.pytorch.org
      "--index-url", "https://download.pytorch.org/whl/cu124"

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned zysilm-ai/ai-video-producer-skill at 56d760af86.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
56d760af86
Manifest
SKILL.md
Scanned
27 files, 9,116 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The AI Video Producer skill facilitates complete AI video production workflows locally. It leverages WAN 2.2 for video generation and Qwen Image Edit 2511 via ComfyUI to create keyframes, all running directly on consumer GPUs without relying on cloud APIs. The skill guides you through a structured process, allowing you to define visual style and narrative before generating the video content.

When to use it

  • Creating short animated scenes: Generate fight sequences or lifestyle videos based on prompts like "Create a 15-second anime fight scene" or "Create a video from meme 'I want to save money vs you only live once'."
  • Developing consistent visual styles: Use the “Philosophy-First” approach for projects requiring a cohesive look and feel across multiple scenes.
  • Iterative video creation: Refine your vision through an iterative process, reviewing keyframes and videos at each step before proceeding.
  • Local video generation: When you need complete control over your data and prefer to avoid cloud-based services.

Key capabilities

  • Runs entirely locally on consumer GPUs.
  • Utilizes WAN 2.2 for video generation.
  • Employs Qwen Image Edit 2511 via ComfyUI for keyframe generation.
  • Supports "Video-First" (recommended) and "Keyframe-First" pipeline modes.
  • Offers a philosophy-first approach to ensure visual coherence.
  • Fast generation: ~36 seconds per image, ~2 minutes per 5-second video.
  • Low VRAM requirement: Works on 10GB GPUs using GGUF quantization.

Example prompts

  • "Create a 15-second anime fight scene with two warriors."
  • "Create a video from meme 'I want to save money vs you only live once'."
  • “Generate a short video showcasing a futuristic cityscape.”

Tips & gotchas

  • A GPU with at least 10GB of VRAM is required for operation due to GGUF quantization.
  • The "Video-First" pipeline mode is recommended for maintaining visual continuity between scenes.