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Flask Python

Checked
mindrally·vlatest·backend·Apache-2.0

Generates, debugs, and optimizes Python Flask web applications and APIs based on provided requirements.

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 mindrally/skills --skill flask-python -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

mindrally

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 mindrally/skills at 7682ca7771.

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

Commit
7682ca7771
Manifest
flask-python/SKILL.md
Scanned
1 file, 108 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 Flask-Python skill enables AI agents to build, deploy, and manage lightweight Python web applications using the Flask framework. It provides direct access to server-side logic, allowing agents to create RESTful APIs, handle HTTP requests, and serve dynamic content without complex infrastructure setup.

When to use it

  • Deploying a simple backend API for an AI agent to interact with external databases or services.
  • Creating custom webhooks that trigger specific actions when the agent receives certain events.
  • Building internal tools where the agent needs to serve static files or generate dynamic HTML responses.
  • Prototyping server-side logic quickly before migrating to a more robust framework like Django.

Key capabilities

  • Installation of the Flask microframework within the agent's environment.
  • Definition of route handlers for incoming HTTP requests (GET, POST, PUT, DELETE).
  • Management of application configuration and context variables.
  • Integration with standard Python libraries for data processing and external API calls.

Example prompts

  • "Create a Flask app that accepts a JSON payload containing user data and returns a confirmation message."
  • "Set up a local development server using Flask to serve a simple dashboard page."
  • "Write a route handler that queries an external weather API and displays the results in JSON format."

Tips & gotchas

Flask is designed for small to medium applications; avoid using it for high-concurrency production systems without significant scaling measures. Ensure your AI agent has write permissions to install dependencies like flask and requests before attempting to run server code.