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Systematic Debugging

Checked
as4584·vlatest·testing·MIT

Systematically identifies and isolates software bugs using automated analysis and targeted test case generation.

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 as4584/antigravity-skills --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

as4584

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 as4584/antigravity-skills at bc4ff118cf.

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

Commit
bc4ff118cf
Manifest
skills/systematic-debugging/SKILL.md
Scanned
11 files, 1,218 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 systematically debug code or processes. It facilitates identifying root causes of errors through structured investigation, isolating problematic areas, and suggesting potential fixes. The agent can analyze error messages, trace execution paths, and propose solutions based on identified patterns.

When to use it

  • When an AI agent encounters unexpected behavior or errors in a script or workflow.
  • To troubleshoot complex issues where the source of the problem is not immediately obvious.
  • During development and testing phases to proactively identify and resolve bugs.
  • For debugging automated processes that are failing intermittently.

Key capabilities

  • Error message analysis
  • Execution path tracing
  • Root cause identification
  • Suggestion of potential fixes
  • Pattern recognition for recurring errors

Example prompts

  • "Debug this Python script and explain the error."
  • "I'm getting a 'TypeError: unsupported operand type(s)' - can you help me find the source?"
  • "Trace the execution flow of this process to identify why it’s failing at step 3.”

Tips & gotchas

The skill is most effective when provided with clear error messages and access to relevant code or process documentation. It may require some context about the system being debugged for optimal results.