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Jdb Debugger

Checked
brunoborges·vlatest·testing·MIT

The JDB Debugger helps developers quickly diagnose and fix issues in Java code by allowing interactive debugging sessions within their applications.

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 brunoborges/jdb-agentic-debugger --skill jdb-debugger -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

brunoborges

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 brunoborges/jdb-agentic-debugger at ba747cf6c1.

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

Scanned
8 files, 1,535 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

The jdb-debugger skill provides debugging capabilities for AI agents. It allows agents to step through code execution, inspect variables at runtime, and identify errors within their operational processes. This facilitates a deeper understanding of agent behavior and enables more targeted improvements.

When to use it

  • Troubleshooting Agent Errors: When an agent consistently fails to achieve its goals or produces unexpected results.
  • Understanding Complex Logic: To dissect the flow of execution in agents with intricate decision-making processes.
  • Debugging Custom Tools/Functions: When developing custom tools or functions for agents, this skill helps pinpoint issues during development and testing.
  • Analyzing Performance Bottlenecks: Identify slow operations within an agent's workflow to optimize efficiency.

Key capabilities

  • Step-through code execution
  • Runtime variable inspection
  • Error identification

Example prompts

  • "Debug the last action I took."
  • "Show me the value of 'user_input' during step 3."
  • "What caused the error in my previous attempt?"

Tips & gotchas

The skill requires access to the agent’s code and execution environment. It is most effective when used with agents that have well-defined, modular code structures.