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Systematic Debugging

Checked
ed3dai·vlatest·testing

Systematically identifies and resolves software bugs using automated analysis and targeted code modifications.

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 ed3dai/ed3d-plugins --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

ed3dai

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 ed3dai/ed3d-plugins at 0c90f4b5f0.

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

Scanned
6 files, 614 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, ed3dai-systematic-debugging, provides a structured approach to identifying and resolving issues within AI agent workflows. It helps pinpoint the root cause of errors by systematically testing different components and isolating problematic areas. The tool facilitates efficient debugging through organized analysis and targeted adjustments.

When to use it

  • Debugging complex agent flows: When an agent is exhibiting unexpected behavior across multiple steps or tools.
  • Reproducing intermittent issues: To isolate the cause of errors that don't consistently occur.
  • Identifying conflicts between tools: When different tools within the agent’s workflow are interacting in undesirable ways.
  • Optimizing performance bottlenecks: To diagnose and resolve slowdowns or inefficiencies in an agent's execution.

Key capabilities

  • Systematic testing of components
  • Root cause analysis
  • Isolation of problematic areas
  • Organized error reporting

Example prompts

  • "Debug the agent workflow for order processing, focusing on the payment gateway integration."
  • "Identify why the agent is failing to extract data from this webpage consistently."
  • "Trace the execution path that leads to the 'file not found' error in the document summarization task."

Tips & gotchas

The skill requires a clear understanding of the agent’s workflow and its components. Providing detailed context about the specific problem being debugged will improve the accuracy and effectiveness of the debugging process.