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Computer Vision

Checked
aj-geddes·vlatest·ai-ml·MIT

This skill analyzes images to identify objects and patterns, offering insights for automation, analysis, and understanding visual data.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Computer Vision, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add aj-geddes/useful-ai-prompts --skill "Computer Vision" -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

aj-geddes

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 aj-geddes/useful-ai-prompts at 3f5182cfd7.

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

Commit
3f5182cfd7
Manifest
skills/computer-vision/SKILL.md
Scanned
3 files, 414 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

Computer Vision

What it does

This skill enables AI agents to analyze and interpret visual data, allowing them to identify objects, patterns, and scenes within images or video feeds. It bridges the gap between raw pixels and actionable insights by processing visual inputs directly.

When to use it

  • Automating quality control checks in manufacturing environments by detecting defects on assembly lines.
  • Analyzing satellite imagery to monitor environmental changes or track urban development over time.
  • Enhancing security systems by recognizing specific individuals or suspicious activities in real-time footage.
  • Assisting medical diagnostics by identifying anomalies in X-rays or MRI scans for preliminary review.

Key capabilities

  • Object detection and classification within complex scenes.
  • Real-time video stream analysis and processing.
  • Pattern recognition across static images and dynamic feeds.
  • Visual data interpretation to generate descriptive text or alerts.

Example prompts

  • "Scan this image of the warehouse floor and list any safety hazards you detect."
  • "Analyze the provided satellite photo to estimate the acreage of new forest growth since last year."
  • "Review these security camera frames from the past hour and summarize any unusual movements near the server room."

Tips & gotchas

Ensure high-resolution input images are provided, as low-quality visuals may lead to inaccurate object identification. This skill relies heavily on the clarity and lighting conditions of the source material; poor visibility can significantly reduce detection accuracy.