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Systematic Debugging

Checked
vudovn·vlatest·testing·MIT

Systematically identifies and isolates software bugs using advanced analysis and automated reproduction techniques.

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 vudovn/ag-kit --skill systematic-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

vudovn

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 vudovn/ag-kit at 549ba3dc2e.

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

Commit
549ba3dc2e
Manifest
.agents/skills/systematic-debugging/SKILL.md
Scanned
1 file, 100 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 enables AI agents to perform methodical, step-by-step debugging of code errors. It helps identify root causes by analyzing logs, stack traces, and error messages within a structured framework.

When to use it

  • Your agent encounters runtime exceptions or crashes during execution.
  • You need to isolate logic flaws in complex algorithms without manual intervention.
  • Debugging is required for automated testing pipelines that fail intermittently.
  • The agent must validate fixes by re-running tests after code modifications.

Key capabilities

  • Parses error logs and stack traces to pinpoint failure locations.
  • Executes iterative hypothesis testing to narrow down bug sources.
  • Generates corrected code snippets based on identified issues.
  • Validates solutions by simulating execution flows or running unit tests.

Example prompts

  • "Debug this Python script that throws a KeyError when processing user input."
  • "Analyze the provided stack trace and suggest a fix for the memory leak in the Node.js server."
  • "Systematically troubleshoot why my automated CI/CD pipeline fails at the deployment stage."

Tips & gotchas

Ensure the agent has access to relevant code files, error logs, or stack traces to maximize debugging accuracy. This skill works best when combined with a testing framework that can automatically verify fixes after each iteration.