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Debug

Checked
qwibitai·vlatest·testing·MIT

Automated debugging of QwibitAI models via intelligent error analysis and targeted code 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 nanocoai/nanoclaw --skill 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

qwibitai

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

    Only contacts known or declared hosts: 127.0.0.1.

    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

    127.0.0.1local

  • 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 qwibitai/nanoclaw at d73dfacad7.

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

Commit
d73dfacad7
Manifest
.claude/skills/debug/SKILL.md
Scanned
1 file, 268 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

The qwibitai-debug skill provides debugging capabilities for AI agents. It allows users to inspect the agent's internal state and reasoning process, facilitating troubleshooting and understanding of its behavior. This includes examining variables, tracing function calls, and identifying potential errors within the agent’s execution flow.

When to use it

  • Troubleshooting unexpected behavior: If an agent is producing incorrect or undesirable results, this skill can help pinpoint the source of the problem.
  • Understanding complex reasoning: When you need to understand why an agent made a particular decision, debugging tools offer insight into its thought process.
  • Developing and refining agents: During development, use this skill to step through code execution and identify areas for improvement.
  • Identifying performance bottlenecks: Debugging can help reveal inefficiencies in the agent's logic that are slowing it down.

Key capabilities

  • Inspect internal variables
  • Trace function calls
  • Identify errors within the agent’s execution flow

Example prompts

  • "Show me the values of all variables at this point."
  • "Trace the execution path leading to this decision."
  • "What was the last error message?"

Tips & gotchas

The skill's effectiveness depends on having access to the agent’s internal state, which may be restricted depending on its design and security configurations. Debugging requires a good understanding of the underlying AI agent architecture.