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Fullstack Debugger

Listed
erichowens·vlatest·backend·MIT

Diagnose and fix full-stack application errors, identifying root causes across frontend, backend, and database layers.

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 curiositech/some_claude_skills --skill fullstack-debugger -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

erichowens

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.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: api.cloudflare.com.

    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.

    Hosts contacted

    api.cloudflare.comundeclared

    What it found

    • .claude/skills/fullstack-debugger/SKILL.md:302contacts api.cloudflare.com
      curl -X POST "https://api.cloudflare.com/client/v4/zones/ZONE_ID/purge_cache" \

  • 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 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 erichowens/some_claude_skills at 6713fc7a64.

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

Commit
6713fc7a64
Manifest
.claude/skills/fullstack-debugger/SKILL.md
Scanned
1 file, 481 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

The fullstack-debugger skill empowers AI agents to autonomously identify, analyze, and resolve complex software issues across diverse technology stacks. It enables the agent to read error logs, inspect codebases, and execute fixes without requiring manual intervention from a developer.

When to use it

  • Resolving production outages by analyzing server logs and application crashes in real-time.
  • Debugging intricate frontend rendering issues or backend API failures in full-stack applications.
  • Automating the fix of recurring bugs after code deployments or dependency updates.
  • Assisting junior developers by tracing root causes of errors and suggesting specific code corrections.

Key capabilities

  • Analyzes error logs and stack traces to pinpoint failure locations.
  • Inspects source code across multiple languages and frameworks simultaneously.
  • Generates and applies patches to resolve identified bugs autonomously.
  • Validates fixes by re-running tests or checking application behavior post-correction.

Example prompts

  • "Analyze the attached server logs and fix the 500 error occurring in the user authentication service."
  • "Debug why the dashboard isn't loading on mobile devices and provide a code patch."
  • "Review the recent deployment changes, identify the regression causing the API timeout, and correct it."

Tips & gotchas

Ensure the AI agent has read access to the relevant repositories and log files before initiating a debugging session. While effective for syntax and logic errors, complex architectural issues may still require human oversight.