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Computer Vision Opencv

Checked
mindrally·vlatest·ai-ml·Apache-2.0

Analyzes images using OpenCV for object detection and analysis, streamlining data collection and insights from visual content.

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 mindrally/skills --skill computer-vision-opencv -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
computer-vision-opencv/SKILL.md
Scanned
1 file, 102 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 leverages OpenCV, a powerful open-source library, to enable AI agents with image and video processing capabilities. It allows agents to perform tasks like object detection within images, analyze video streams in real-time, and manipulate visual data based on defined criteria. The agent can also extract information from images such as edges or contours.

When to use it

  • Security Systems: Analyze camera feeds for suspicious activity (e.g., detecting unauthorized entry).
  • Robotics: Guide robots using vision – identify objects and navigate environments.
  • Quality Control: Inspect manufactured goods for defects by analyzing images of the products.
  • Autonomous Driving: Process visual data from cameras to detect lanes, traffic signals, and other vehicles.

Key capabilities

  • Object Detection
  • Video Stream Analysis
  • Image Manipulation
  • Edge & Contour Extraction

Example prompts

  • "Detect all cars in this image."
  • "Analyze the video feed for people entering the restricted area."
  • "Highlight the edges of objects in this picture."
  • “Can you identify any defects on this product based on its image?”

Tips & gotchas

The skill requires a working OpenCV installation. The accuracy of object detection depends heavily on the quality and resolution of the input images or video.