Skip to content
TrustedSkillsbeta
Back to all skills

Systematic Debugging

Checked
amrhas82·vlatest·testing·Apache-2.0

Systematically identifies and resolves software bugs through automated analysis, reproduction, and targeted fix suggestions.

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 hamr0/agentic-toolkit --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

amrhas82

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 amrhas82/agentic-toolkit at 01043430ff.

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

Commit
01043430ff
Manifest
ai/customize/skill-to-command/skills/systematic-debugging/SKILL.md
Scanned
6 files, 619 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 helps AI agents systematically debug code or processes. It provides a structured approach to identifying and resolving issues, including isolating problems, formulating hypotheses about root causes, and testing potential solutions. The agent can use this skill to analyze error messages, trace execution paths, and propose fixes based on the observed behavior.

When to use it

  • When an AI agent encounters unexpected errors or failures in a code execution environment.
  • To troubleshoot complex workflows where pinpointing the source of failure is difficult.
  • For debugging automated processes that are exhibiting inconsistent results.
  • When needing to understand why a specific function or module isn't behaving as expected.

Key capabilities

  • Error analysis and interpretation
  • Hypothesis generation for root cause identification
  • Execution path tracing
  • Solution testing and validation

Example prompts

  • "Debug this Python script: [script content]. It’s failing with a TypeError."
  • "I'm getting an unexpected result from my data processing pipeline. Can you systematically debug it?"
  • "Trace the execution of this function to identify why it is returning incorrect values."

Tips & gotchas

The skill requires access to relevant code or process logs for effective debugging. Providing clear error messages and context will significantly improve the agent's ability to diagnose and resolve issues.