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Debug Mode Production Anti Pattern

Checked
igbuend·vlatest·testing·MIT

Identifies and flags production code exhibiting debug mode anti-patterns like excessive logging or conditional debugging statements.

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 igbuend/grimbard --skill debug-mode-production-anti-pattern -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

igbuend

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 igbuend/grimbard at cde088f5d7.

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

Commit
cde088f5d7
Manifest
skills/debug-mode-production-anti-pattern/SKILL.md
Scanned
1 file, 294 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

This skill identifies and explains the critical anti-pattern of running an AI agent in debug mode within a production environment. It highlights the significant risks associated with this practice, including data exposure, performance degradation, and potential security vulnerabilities. The skill aims to educate users on why debug mode should never be enabled in live systems.

When to use it

  • When reviewing deployment configurations of AI agents to ensure best practices are followed.
  • During incident response when investigating unexpected agent behavior or data breaches.
  • As part of a security audit to identify potential vulnerabilities related to improper agent configuration.
  • For onboarding new team members responsible for managing and deploying AI agents.

Key capabilities

  • Identifies debug mode configurations in production environments.
  • Explains the risks associated with running an agent in debug mode.
  • Provides guidance on how to properly configure and deploy AI agents.

Example prompts

  • "Check my AI agent deployment for any signs of debug mode being enabled."
  • "What are the security implications of running an AI agent in debug mode?"
  • "Explain why using debug mode in production is a bad practice."

Tips & gotchas

This skill assumes you have access to the relevant configuration files or logs of your AI agent deployment. It's primarily educational; it doesn’t directly remediate the issue – you will need to manually disable debug mode based on its guidance.