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Debugging Toolkit Smart Debug

Listed
sickn33·vlatest·testing·MIT

Automatically identifies and suggests fixes for code errors using advanced analysis and contextual understanding.

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 sickn33/agentic-awesome-skills --skill debugging-toolkit-smart-debug -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Commit
5a4cdd9df8
Manifest
skills/debugging-toolkit-smart-debug/SKILL.md
Scanned
0 files
Copies in repo
3 — all of them scanned
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

The Debugging Toolkit Smart Debug skill assists AI agents in debugging software issues by providing expert-level guidance and automated analysis. It leverages advanced techniques like error pattern recognition, stack trace analysis, and component dependency mapping to generate ranked hypotheses about the root cause of problems. The skill also recommends appropriate debugging strategies based on issue characteristics and suggests optimal instrumentation points for further investigation.

When to use it

  • When working on tasks or workflows specifically related to debugging toolkit smart debug.
  • When needing guidance, best practices, or checklists for debugging toolkit smart debug.
  • For triage of issues requiring root cause analysis, especially those involving complex interactions between components and services.

Key capabilities

  • Error Pattern Recognition: Identifies common error patterns in code and logs.
  • Stack Trace Analysis: Analyzes stack traces to determine probable causes of errors.
  • Component Dependency Analysis: Maps dependencies between software components to understand the impact of failures.
  • Hypothesis Generation: Generates ranked hypotheses (3-5) for potential root causes, including probability scores and falsification criteria.
  • Debugging Strategy Recommendation: Suggests appropriate debugging strategies like interactive debugging, observability-driven analysis, time-travel debugging, chaos engineering, or statistical methods.
  • Intelligent Instrumentation Suggestions: Recommends optimal locations for breakpoints and log points.

Example prompts

  • "Analyze this error message: [paste error message here]"
  • "I'm seeing intermittent failures in production; what are some possible causes?"
  • "What debugging strategy would you recommend for a race condition?"

Tips & gotchas

  • The skill is specifically designed for tasks related to "debugging toolkit smart debug." It’s not suitable for unrelated development or domain-specific problems.
  • For detailed implementation guidance, consult the resources/implementation-playbook.md file.
  • To get the most accurate results, provide clear goals, constraints, and all relevant inputs (error messages, reproduction steps, affected components).