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Java

Checked
suzumiyaaoba·vlatest·backend·MIT

Generates, debugs, and explains Java code snippets based on provided requirements and context.

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 suzumiyaaoba/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

suzumiyaaoba

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 suzumiyaaoba/skills at 6faca19878.

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

Commit
6faca19878
Manifest
skills/java/SKILL.md
Scanned
3 files, 99 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 understand and generate Java code. It can be used to create, modify, or debug existing Java programs, as well as explain the functionality of given Java snippets. The agent can also assist in tasks like generating boilerplate code for common Java structures.

When to use it

  • Automated Code Generation: Generate basic Java classes and methods based on a description of their purpose.
  • Debugging Assistance: Provide existing Java code to the agent and ask it to identify potential errors or suggest improvements.
  • Code Explanation: Ask the agent to explain what a specific block of Java code does, line by line.
  • Refactoring Support: Request the agent to refactor existing Java code for improved readability or efficiency.

Key capabilities

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

Example prompts

  • "Write a Java class that represents a 'Dog' with attributes for name and breed."
  • "Explain what this Java code does: System.out.println("Hello, world!");"
  • "Refactor this Java method to use streams instead of a traditional loop."

Tips & gotchas

The agent’s effectiveness depends on the clarity and specificity of your prompts. Providing context or examples can significantly improve the quality of generated code.