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Debug With Ai

Checked
latestaiagents·vlatest·testing·MIT

Helps with debugging, AI as part of testing, debugging, and quality assurance 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 latestaiagents/agent-skills --skill debug-with-ai -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

latestaiagents

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 latestaiagents/agent-skills at 6120c5539d.

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

Commit
6120c5539d
Manifest
skills/developer/code-intelligence/debug-with-ai/SKILL.md
Scanned
2 files, 604 lines
Copies in repo
2 — 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

This skill allows AI agents to assist in debugging code. It can analyze error messages, suggest potential fixes based on common coding mistakes, and help identify logical errors within a codebase. The agent leverages its knowledge of programming concepts and patterns to provide targeted debugging support.

When to use it

  • When encountering unfamiliar error messages and needing assistance understanding the root cause.
  • During development when seeking suggestions for improving code quality and preventing future bugs.
  • To quickly identify potential logical errors in a complex function or algorithm.
  • While refactoring existing code to ensure no regressions are introduced.

Key capabilities

  • Error message analysis
  • Suggestion of potential fixes
  • Identification of logical errors
  • Code quality improvement suggestions

Example prompts

  • "I'm getting this error: TypeError: 'int' object is not iterable. Can you help me understand why?"
  • "Here’s my code snippet: [code]. I think there might be a logic error, can you review it?"
  • "How can I improve the efficiency of this function? [code]"

Tips & gotchas

The skill's effectiveness depends on providing clear and concise code snippets or error messages. It is best used as an assistant to human developers rather than a replacement for thorough testing and debugging practices.