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Systematic Debugging

Checked
heymynameisrob·vlatest·testing

Systematically identifies and reports software bugs using automated analysis and detailed error 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 heymynameisrob/agent-config --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

heymynameisrob

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 heymynameisrob/agent-config at 2528dc8801.

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

Commit
2528dc8801
Manifest
skills/systematic-debugging/SKILL.md
Scanned
1 file, 151 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 provides a structured approach to debugging AI agent behavior. It helps identify the root cause of issues by systematically testing different components and inputs, rather than relying on guesswork. The tool facilitates creating test cases based on observed errors and then executing them to isolate problems within the agent's logic or dependencies.

When to use it

  • Unexpected Agent Behavior: When an AI agent produces incorrect or undesirable outputs despite clear instructions.
  • Reproducible Errors: When a specific sequence of actions consistently leads to failure, requiring targeted investigation.
  • Complex Workflows: Debugging agents handling intricate tasks with multiple steps and dependencies where pinpointing the error source is difficult.
  • Regression Testing: Ensuring that changes or updates don't introduce new bugs into existing agent functionality.

Key capabilities

  • Test case generation based on observed errors
  • Systematic execution of test cases to isolate issues
  • Identification of root causes within agent logic and dependencies
  • Structured debugging workflow

Example prompts

  • "Debug the agent's response when I ask it to summarize this article."
  • "Create a test case for the error 'ValueError: invalid literal for int() with base 10'."
  • "Run all test cases related to the email sending functionality."

Tips & gotchas

The skill is most effective when combined with clear logging and monitoring of the AI agent's internal state. It assumes a basic understanding of the agent’s architecture and code for interpreting debugging results.