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Ffmpeg Patterns

Checked
mindmorass·vlatest·video-media

Extracts key metadata, patterns, and insights from video files using ffmpeg commands for analysis and automation.

Repository

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 mindmorass/reflex --skill ffmpeg-patterns -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

mindmorass

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 mindmorass/reflex at b87139cce6.

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

Commit
b87139cce6
Manifest
plugins/reflex/skills/ffmpeg-patterns/SKILL.md
Scanned
1 file, 270 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 allows AI agents to extract patterns from video files using FFmpeg. It can identify and categorize visual elements, such as scene changes, object appearances, or specific actions within a video sequence. The extracted data can be used for tasks like automated video analysis, content moderation, or creating interactive experiences.

When to use it

  • Automated Video Summarization: Generate concise summaries of long videos by identifying key scenes and events.
  • Content Moderation: Automatically flag inappropriate content based on visual patterns (e.g., nudity, violence).
  • Video Indexing & Search: Create searchable indexes for video libraries based on detected objects or actions.
  • Interactive Video Experiences: Trigger specific responses or effects in a video player based on recognized visual cues.

Key capabilities

  • Scene detection and analysis
  • Object recognition (limited by FFmpeg's capabilities)
  • Action identification within video frames
  • Pattern extraction from video sequences
  • Integration with FFmpeg command-line tools

Example prompts

  • "Analyze this video for scene changes and provide a list of timestamps."
  • "Identify any instances of [specific object] appearing in this video clip."
  • "Extract patterns related to [specific action] from the provided video file."

Tips & gotchas

  • Requires FFmpeg to be installed and accessible within the AI agent's environment.
  • The accuracy of pattern recognition depends heavily on the quality of the video and the complexity of the desired analysis.