Huashu Video Check
CheckedAnalyzes 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
Run this in your project
terminal$ npx skills add alchaincyf/huashu-skills --skill huashu-video-check -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- 2efea35738
- Manifest
- huashu-video-check/SKILL.md
- Scanned
- 1 file, 394 lines
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.