Analyze Clip
CheckedAnalyzes video clips, identifying key objects, actions, and potential sentiment within the content.
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 teekay-fourtwentyone/video-generator --skill analyze-clip -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
teekay-fourtwentyone
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 teekay-fourtwentyone/video-generator at 78d27806e4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 78d27806e4
- Scanned
- 1 file, 58 lines
About this skill
What it does
The analyze-clip skill analyzes video clips and provides detailed information about their contents. It can identify objects, scenes, and actions within a clip. This allows for automated content understanding and categorization of video data.
When to use it
- Content Moderation: Automatically flag inappropriate or policy-violating content in user-uploaded videos.
- Video Tagging & SEO: Generate relevant tags for videos based on their visual content, improving searchability.
- Automated Video Summarization: Extract key scenes and actions to create concise summaries of longer video files.
- Training Data Generation: Label video frames with object detections for training computer vision models.
Key capabilities
- Object detection within video clips
- Scene recognition
- Action identification
Example prompts
- "Analyze this video clip and tell me what objects are present."
- "Describe the main actions happening in this video segment."
- "What is the overall scene depicted in this clip?"
Tips & gotchas
The accuracy of analysis depends on the quality and resolution of the input video clip. Ensure sufficient lighting and clear visuals for optimal results.