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Parallel Debugging

Checked
wshobson·vlatest·testing·MIT

Simultaneously debug multiple code branches or test environments to rapidly identify and resolve complex issues.

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 wshobson/agents --skill parallel-debugging -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

wshobson

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 wshobson/agents at 46891e7e60.

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

Commit
46891e7e60
Manifest
plugins/agent-teams/skills/parallel-debugging/SKILL.md
Scanned
2 files, 247 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 parallel-debugging skill enables AI agents to debug multiple processes or threads simultaneously, improving efficiency in identifying and resolving issues across complex systems. It supports real-time monitoring of concurrent operations and provides insights into interdependencies between parallel tasks.

When to use it

  • Debugging multi-threaded applications where race conditions are suspected
  • Identifying bottlenecks in distributed systems with parallel execution
  • Troubleshooting asynchronous workflows or event-driven architectures

Key capabilities

  • Simultaneous debugging of multiple processes or threads
  • Real-time monitoring and logging for concurrent operations
  • Identification of interdependencies between parallel tasks

Example prompts

  • "Debug the race condition in my multi-threaded Java application."
  • "Monitor all parallel API calls to identify performance bottlenecks."
  • "Trace the execution flow across multiple processes running concurrently."

Tips & gotchas

  • Ensure your environment supports concurrent debugging tools and frameworks.
  • Be mindful of resource limits when debugging large-scale parallel systems.