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Java

Checked
g1joshi·vlatest·backend·MIT

Generates, debugs, and optimizes Java code snippets and applications based on detailed specifications and requirements.

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 g1joshi/agent-skills --skill java -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

g1joshi

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 g1joshi/agent-skills at 6a74cf03a8.

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

Commit
6a74cf03a8
Manifest
skills/languages/java/SKILL.md
Scanned
1 file, 153 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 an AI agent to generate and understand Java code. It can be used to create simple programs, debug existing code snippets, or explain the functionality of Java code. The skill leverages a large language model's understanding of programming concepts to assist with various development tasks.

When to use it

  • Code Generation: Quickly prototype small Java applications based on natural language descriptions.
  • Debugging Assistance: Provide Java code and ask for explanations or potential error fixes.
  • Code Explanation: Request a breakdown of what a specific Java code block does, suitable for learning or understanding unfamiliar code.
  • Simple Program Creation: Generate basic command-line tools or utility scripts in Java.

Key capabilities

  • Java Code Generation
  • Java Code Debugging
  • Java Code Explanation

Example prompts

  • "Write a simple Java program to calculate the factorial of a number."
  • "Explain what this Java code snippet does: System.out.println("Hello, world!");"
  • "I'm getting an error in my Java code 'NullPointerException'. Can you help me find the issue?"

Tips & gotchas

The skill’s effectiveness depends on providing clear and concise instructions. Complex or ambiguous requests may lead to less accurate results.