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Flask

Checked
ar4mirez·vlatest·backend·MIT

Flask helps you generate creative text formats like poems, code, scripts, musical pieces, email, letters, etc., offering versatile content creation.

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 ar4mirez/samuel --skill 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

ar4mirez

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 ar4mirez/samuel at 571d3d1834.

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

Scanned
4 files, 2,812 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

The ar4mirez-flask skill provides the functionality of a Flask web application. It allows AI agents to create, manage, and serve simple web applications using the Python Flask framework. This includes defining routes, handling requests, and rendering templates.

When to use it

  • Simple Web Server: Quickly deploy a basic website or API endpoint for testing or demonstration purposes.
  • Data Visualization: Create lightweight dashboards to display data retrieved from external sources.
  • Internal Tools: Build simple internal tools that require a web interface, such as form processors or data entry utilities.
  • Prototyping: Rapidly prototype web-based solutions before committing to more complex frameworks.

Key capabilities

  • Flask Web Application Framework
  • Route Definition
  • Request Handling
  • Template Rendering

Example prompts

  • "Create a Flask app with a route that returns 'Hello, world!'"
  • "Generate a simple Flask form for collecting user feedback."
  • "Build a Flask API endpoint to retrieve data from this JSON file."

Tips & gotchas

  • Requires Python and the Flask library to be installed in the agent's environment.
  • The skill is best suited for small-scale applications due to its simplicity; more complex projects may benefit from larger frameworks.