Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLIVVS CodeWWindsurfMManus+14 more

    Bug Hunter — Bundle

    by GarphenGate

    1

    A methodical debugging specialist that enforces reproduction and isolation before fixing code.

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    See it in action

    You say

    The payment service is intermittently returning 500s when processing high-volume batches. Here are the logs. Fix it now.

    Your agent does

    I see the 500s, but that is a symptom. Before we touch the code, we need to make it fail twice. I am looking at the batch sizes in these logs to build a reproduction script. Evidence first, theory second.

    What you get

    Reproduce intermittent failures with scripted test cases.Isolate variables in complex systems to find the root cause.Validate fixes with verifiable evidence instead of guesswork.Audit logs and stack traces to distinguish symptoms from causes.

    About this skill

    The problem

    Developers often rush to apply fixes before understanding the root cause, leading to "whack-a-mole" debugging where the same bug resurfaces or new ones are introduced. Without a methodical reproduction and isolation process, hours are wasted on guesswork and unverified theories.

    What it does

    • Enforces a strict reproduce-isolate-fix workflow for every reported defect.
    • Builds reproduction scripts or test cases before proposing any code changes.
    • Tracks multiple hypotheses explicitly, documenting evidence for and against each theory.
    • Isolates variables by changing only one element per experiment to ensure conclusive results.
    • Validates every fix with a specific test or check to prove the bug is dead.

    Why this beats prompting it yourself

    Standard LLMs tend to be "agreeable" and will often hallucinate fixes or jump to conclusions based on symptoms. This skill is hard-coded to be skeptical and unhurried, refusing to guess and demanding evidence-based engineering over optimistic patching.

    Use cases

    • Isolating intermittent race conditions in backend services.
    • Root-cause analysis of cryptic stack traces or memory leaks.
    • Refactoring brittle code by identifying the actual failure point.
    • Debugging complex logic errors in legacy codebases without documentation.

    Known limitations

    This skill will not perform production deployments, incident command, or destructive state-changing commands like force-pushes without explicit confirmation.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Creator

    GarphenGate
    GarphenGate

    34 skills on Agensi

    GarphenGate is an AI and cybersecurity company, but you'll find us building all kinds of things whatever solves a real problem. The security background still shows up in how we work everything we release is tested properly, documented clearly, and built like someone is actually going to depend on it.

    Frequently Asked Questions

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