Analyze Video
CheckedHelps with analysis, video as part of video production and media processing workflows.
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 barefootford/buttercut --skill analyze-video -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
barefootford
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 barefootford/buttercut at 352c1e0314.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 352c1e0314
- Manifest
- skills/analyze-video/SKILL.md
- Scanned
- 2 files, 215 lines
About this skill
What it does
The analyze-video skill allows AI agents to extract key information and insights from video files. It can identify objects, scenes, and activities within a video, providing summaries or answering specific questions about the content. This capability enables automated analysis of video data for various applications.
When to use it
- Content Summarization: Quickly understand the main topics covered in a long lecture recording or presentation.
- Event Monitoring: Automatically detect and flag specific events occurring within security camera footage (e.g., a person entering a restricted area).
- Video Indexing: Create searchable indexes for video libraries based on visual content, making it easier to find relevant clips.
- Scene Detection: Identify scene changes in a movie or documentary for editing purposes.
Key capabilities
- Object detection within video frames
- Scene identification and categorization
- Activity recognition (e.g., walking, running, talking)
- Video summarization based on detected content
Example prompts
- "Summarize the key points discussed in this lecture video."
- "Identify all instances of a red car appearing in this security footage."
- "Describe the scene changes within this movie clip."
Tips & gotchas
The quality of analysis depends heavily on the video resolution and clarity. Poor lighting or obstructed views may impact accuracy.