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Error Debugging Error Trace

Listed
sickn33·vlatest·testing·MIT

Analyzes error traces to pinpoint root causes and suggest fixes, accelerating debugging workflows.

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 error-debugging-error-trace -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/error-debugging-error-trace/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

The error-debugging-error-trace skill enables AI agents to systematically analyze stack traces and error logs to identify the root cause of software failures. It allows agents to parse complex diagnostic data, correlate failure points with code execution paths, and suggest targeted fixes based on the specific error context.

When to use it

  • Diagnosing runtime crashes in production environments where only log files are available.
  • Resolving build failures caused by syntax errors or missing dependencies in CI/CD pipelines.
  • Tracing logic errors that result in unexpected application behavior rather than hard exceptions.
  • Analyzing third-party library errors to determine if the issue lies in configuration or code usage.

Key capabilities

  • Parses raw stack trace data to isolate the specific line of code causing a failure.
  • Identifies variable states and execution flow leading up to the error point.
  • Correlates error messages with known patterns to suggest probable causes.
  • Generates remediation steps tailored to the specific type of exception encountered.

Example prompts

  • "Analyze this stack trace from my Node.js server and explain why the authentication module is failing."
  • "Review the provided Python error log and suggest a fix for the IndexError occurring in the data processing loop."
  • "Trace the source of this database connection timeout error based on the application logs I pasted below."

Tips & gotchas

Ensure you provide the full stack trace context, including surrounding code snippets or relevant configuration files, as partial logs often lack the necessary information for accurate diagnosis. This skill is most effective when combined with other debugging tools that can execute code or inspect runtime state directly.