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Huashu Video Check

Checked
alchaincyf·vlatest·video-media·MIT

Analyzes videos for Huashi content, identifying potential copyright infringements based on alchaincyf's defined criteria.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add alchaincyf/huashu-skills --skill huashu-video-check -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

alchaincyf

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

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • 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 undeclared network calls: passed

    Makes no network calls.

    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.

  • 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 alchaincyf/huashu-skills at 2efea35738.

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

Scanned
1 file, 394 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

This skill analyzes video files to identify potential issues or inconsistencies. It can check for things like frame rate variations, audio dropouts, and visual artifacts that might indicate problems with the original recording or editing process. The tool aims to provide a quick assessment of video quality before distribution or further processing.

When to use it

  • Pre-publication review: Before uploading videos to platforms like YouTube or Vimeo, quickly check for common errors.
  • Video Editing Workflow: Integrate into your editing pipeline to catch issues early on and avoid rework later.
  • Archiving & Preservation: Assess the quality of older video files before archiving them digitally.
  • Troubleshooting Video Issues: When a viewer reports problems with a video, use this skill to diagnose the root cause.

Key capabilities

  • Frame rate analysis
  • Audio dropout detection
  • Visual artifact identification

Example prompts

  • "Analyze this video for frame rate inconsistencies: [video URL]"
  • "Check this file for audio dropouts and visual artifacts: [file path]"
  • "Can you assess the overall quality of this video? [video URL]"

Tips & gotchas

The skill’s accuracy depends on the clarity and resolution of the input video. Very low-resolution or heavily compressed videos may yield less reliable results.