Skip to content
TrustedSkillsbeta
Back to all skills

Flask

Listed
bobmatnyc·vlatest·backend·MIT

Flask helps you quickly generate Python code snippets for common Flask web development tasks, boosting your productivity and simplifying project setup.

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 bobmatnyc/claude-mpm-skills --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

bobmatnyc

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 1 place.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

    What it found

    • toolchains/python/frameworks/flask/SKILL.md:14tells the user to run: pip install straight from a URL(in the instructions, not code)
      quick_start: "1. pip install flask 2. Create app.py with @app.route decorators 3. flask run 4. Access http://localhost:5000"

  • 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.

  • Pinned to a commit: passed

    Scanned bobmatnyc/claude-mpm-skills at 718070a7d6.

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

Commit
718070a7d6
Manifest
toolchains/python/frameworks/flask/SKILL.md
Scanned
2 files, 1,654 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 enables AI agents to interact with Flask applications, allowing them to execute Python code within a Flask environment. It facilitates direct manipulation of web servers and backend logic for tasks requiring server-side execution.

When to use it

  • Running custom Python scripts that depend on the Flask framework.
  • Testing or debugging Flask endpoints directly through an AI agent interface.
  • Automating backend workflows where Flask manages routing or state.
  • Deploying lightweight web services dynamically without manual setup.

Key capabilities

  • Executes Python code in a Flask context.
  • Manages server lifecycle (start/stop) programmatically.
  • Handles HTTP requests and responses via the Flask app instance.
  • Supports dynamic route creation and view function execution.

Example prompts

  • "Start a Flask server on port 5000 and serve a simple 'Hello World' page."
  • "Create a new endpoint at /api/data that returns JSON with the current timestamp."
  • "Run a Flask script that listens for POST requests and logs them to a file."

Tips & gotchas

Ensure your AI agent has appropriate permissions to execute Python code and manage processes. This skill is best suited for development environments where you control the runtime context.