Skip to content
TrustedSkillsbeta
Back to all skills

Systematic Debugging

Checked
herdiansah·vlatest·testing

Systematically identifies and isolates software bugs using Herdiansah's methodical debugging techniques for improved test coverage.

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 herdiansah/antigravity-skills-master --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

herdiansah

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 herdiansah/antigravity-skills-master at f642a05f9c.

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

Commit
f642a05f9c
Manifest
.agent/skills/systematic-debugging/SKILL.md
Scanned
1 file, 291 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, herdiansah-systematic-debugging, helps AI agents systematically identify and resolve errors in code or processes. It facilitates a structured approach to debugging, breaking down complex issues into smaller, manageable steps. The agent can analyze error messages, trace execution paths, and suggest potential fixes based on the identified problem areas.

When to use it

  • Debugging failing automated tests: Use this skill when your AI agent is running automated tests that are consistently failing and you need help pinpointing the root cause.
  • Troubleshooting unexpected application behavior: If an application isn't behaving as expected, leverage this skill to systematically investigate the underlying issues.
  • Analyzing complex error logs: When faced with lengthy or cryptic error logs, use this skill to parse and understand the errors more effectively.
  • Identifying performance bottlenecks: This skill can assist in identifying areas of code or processes that are causing slowdowns or inefficiencies.

Key capabilities

  • Error message analysis
  • Execution path tracing
  • Suggestion of potential fixes
  • Structured debugging approach
  • Problem decomposition

Example prompts

  • "Analyze this error log and suggest possible causes: [error log content]"
  • "Trace the execution flow for this function when input X is provided."
  • "I'm seeing intermittent failures in my automated tests. Can you help me systematically debug them?"

Tips & gotchas

This skill requires access to relevant code, logs, and test results to be effective. Providing clear context and specific error messages will improve the quality of its suggestions.