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Crop Tool

Checked
jdluther2020·vlatest·ai-ml

The Crop Tool lets you precisely select and isolate areas of an image for editing or extraction – boosting workflow efficiency.

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 jdluther2020/ai-claude-code-talk --skill crop-tool -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

jdluther2020

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 jdluther2020/ai-claude-code-talk at df2d316309.

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

Commit
df2d316309
Manifest
skills/crop-tool/SKILL.md
Scanned
16 files, 2,349 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 perform image cropping operations. It can precisely define regions of interest within an image, enabling focused analysis or editing. The tool supports specifying coordinates and dimensions to extract specific portions of images.

When to use it

  • Creating thumbnails: Automatically generate smaller versions of larger images for previews or display in galleries.
  • Focusing on details: Extract a specific area from a complex image, such as highlighting a person's face in a group photo.
  • Preparing data for machine learning: Crop images to isolate objects or features for training computer vision models.
  • Removing unwanted elements: Eliminate distracting backgrounds or surrounding areas from an image.

Key capabilities

  • Coordinate-based cropping (x, y coordinates)
  • Dimension-based cropping (width, height)
  • Region of Interest (ROI) extraction

Example prompts

  • "Crop the image to a region starting at x=100, y=50 with a width of 200 and a height of 150."
  • “Extract the area from the top-left corner of the image that is 300 pixels wide and 200 pixels high.”
  • "Crop the image to focus on the central region."

Tips & gotchas

The skill requires precise numerical input for coordinates and dimensions. Ensure your AI agent understands the coordinate system being used (e.g., top-left corner origin).