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Analyze Frame

Checked
knowlet·vlatest·video-media

Quickly identifies objects, text, and key visual elements within images or video frames.

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 knowlet/pf-skills --skill analyze-frame -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

knowlet

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 knowlet/skills at 38f81eca46.

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

Scanned
13 files, 2,907 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

The analyze-frame skill allows an AI agent to process and understand image frames. It can identify objects within a frame, describe the scene depicted, and potentially extract relevant information based on its analysis. This capability enables agents to interact with visual data more effectively.

When to use it

  • Scene understanding: When you need an agent to describe what's happening in a video or image sequence.
  • Object identification: To have the agent identify specific objects within a frame, such as "find all cars" or "locate the person wearing a hat."
  • Visual inspection: For automated quality control tasks where visual defects need to be identified and reported.
  • Robotics applications: To enable robots to understand their environment through camera input.

Key capabilities

  • Object detection
  • Scene description
  • Frame analysis

Example prompts

  • "Analyze this frame and tell me what objects you see."
  • "Describe the scene in this image frame."
  • "Identify all instances of 'cat' in this frame."

Tips & gotchas

The quality of the analysis depends heavily on the resolution and clarity of the input frame. Ensure the agent has access to a reliable image source for optimal results.