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Debug:Flask

Checked
snakeo·vlatest·backend

Identifies and suggests fixes for errors in Flask Python web application code.

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 snakeo/claude-debug-and-refactor-skills-plugin --skill debug:flask -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

snakeo

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 snakeo/claude-debug-and-refactor-skills-plugin at e2e79df88e.

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

Scanned
1 file, 584 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 helps debug Flask applications. It can analyze error messages, identify potential causes of issues within your Flask code, and suggest corrections or improvements to resolve those problems. The skill aims to streamline the debugging process for developers working with Python's Flask framework.

When to use it

  • You’re encountering an unexpected error in your Flask application and need help understanding the root cause.
  • You have a traceback you don't understand, and want a clear explanation of what went wrong.
  • Your Flask app is behaving unexpectedly during testing or deployment.
  • You are new to Flask development and require assistance with common debugging scenarios.

Key capabilities

  • Error message analysis
  • Traceback interpretation
  • Code suggestion for error resolution
  • Identification of potential causes of issues

Example prompts

  • "I'm getting a 500 Internal Server Error in my Flask app. Here’s the traceback: [paste traceback here]"
  • "My Flask route isn't returning any data. Can you help me debug it? My code is: [paste code here]"
  • “Explain this error message from my flask application: 'TypeError: unsupported operand type(s) for +: 'int' and 'str''”

Tips & gotchas

  • Provide the full traceback or relevant code snippets for best results. The more context you give, the better the skill can assist with debugging.