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wells1137

Video Upscaler

by Wells Wu · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
300
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install video-upscaler
Description
Intelligently upscale and enhance videos to cinematic quality using a multi-model backend (Topaz, SeedVR2).
Usage Guidance
This skill delegates all processing to an external backend but provides no information about who runs that backend, how authentication is performed, or how uploaded videos are stored/processed. Before installing or using it: (1) confirm where <your_backend_url> should point and who operates that service; (2) require a clear authentication method (API key, OAuth) and never send private videos to an unauthenticated/public endpoint; (3) ask the skill author for a privacy/data-retention statement and whether fal.ai (or any third party) will receive or keep video content; (4) if you must test, use non-sensitive sample videos first; and (5) prefer skills that explicitly declare required credentials and provide configuration guidance. If these questions are unanswered, treat the skill as risky for private or confidential content.
Capability Analysis
Type: OpenClaw Skill Name: video-upscaler Version: 1.0.0 The skill bundle contains only metadata and documentation (`SKILL.md`). The `SKILL.md` file transparently describes the skill's purpose (video upscaling), its features, and how it interacts with a backend service and `fal.ai` via HTTP requests. There is no evidence of prompt injection attempts against the agent, no instructions for malicious execution, data exfiltration, persistence, or any other harmful behavior. The described functionality is aligned with the stated purpose, and the `curl` examples are illustrative of API interaction, not commands for the agent to execute arbitrarily.
Capability Assessment
Purpose & Capability
Name, description, and the SKILL.md all describe a simple agent->backend workflow for video upscaling; requiring an external backend to perform the work is consistent with the stated purpose. However, the skill assumes a <your_backend_url> exists and that it will forward jobs to 'fal.ai' without documenting who operates that service or how authentication is handled.
Instruction Scope
Runtime instructions tell the agent to accept a video URL from the user and POST it to /upscale on an external backend, then poll /status. That implies the agent will transmit user-supplied URLs (and possibly video data) to a third-party backend. The SKILL.md does not specify authentication, access controls, or data retention/processing rules; this omission can result in inadvertent leakage of private or sensitive videos.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, so it doesn't write files or run installers. This minimizes install-time risk.
Credentials
The skill declares no required environment variables or credentials, yet the documented workflow depends on a backend that likely requires credentials (either for the user's backend or for fal.ai). The absence of any auth/credential fields or guidance is a gap: either the backend is expected to be fully public (risky) or the skill omits required secrets, which is inconsistent.
Persistence & Privilege
The skill is not always-enabled and allows user invocation only; it does not request persistent system privileges or claim to modify other skills. Autonomous invocation is enabled (default), which is normal, but combined with the missing auth/data controls this increases potential exposure.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-upscaler
  3. After installation, invoke the skill by name or use /video-upscaler
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Upscaler. - Intelligently upscales videos to cinematic quality using a multi-model backend (Topaz, SeedVR2). - Selects the best AI model based on user profile with a simple interface requiring only a video URL and profile name. - Supports asynchronous job submission and status polling for efficient handling of long-running tasks. - Provides multiple enhancement profiles, including 2x upscale, 4K conversion, frame interpolation to 60 FPS, and web-optimized output.
Metadata
Slug video-upscaler
Version 1.0.0
License
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Upscaler?

Intelligently upscale and enhance videos to cinematic quality using a multi-model backend (Topaz, SeedVR2). It is an AI Agent Skill for Claude Code / OpenClaw, with 300 downloads so far.

How do I install Video Upscaler?

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

Is Video Upscaler free?

Yes, Video Upscaler is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Video Upscaler support?

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

Who created Video Upscaler?

It is built and maintained by Wells Wu (@wells1137); the current version is v1.0.0.

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