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Modern Python

Listed
trailofbits·vlatest·backend·CC-BY-SA-4.0

Generates clean, efficient, and secure Python code adhering to modern best practices and style guides.

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 trailofbits/skills --skill modern-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

trailofbits

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 2 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 undeclared network calls: failed

    Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: astral.sh, httpbin.org.

    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.

    Hosts contacted

    httpbin.orgundeclaredgithub.comsource hostastral.shundeclared

    What it found

    • plugins/modern-python/skills/modern-python/SKILL.md:283contacts httpbin.org
      uv run --with requests python -c "import requests; print(requests.get('https://httpbin.org/ip').json())"
    • plugins/modern-python/skills/modern-python/references/uv-commands.md:11contacts astral.sh
      curl -LsSf https://astral.sh/uv/install.sh | sh

  • No pipe-to-shell installers: failed

    Runs code fetched at install time in 2 places.

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

    What it found

    • plugins/modern-python/skills/modern-python/references/security-setup.md:19remote script piped into a shell
      curl --proto '=https' --tlsv1.2 -LsSf https://github.com/j178/prek/releases/latest/download/prek-installer.sh | sh
    • plugins/modern-python/skills/modern-python/references/uv-commands.md:11remote script piped into a shell
      curl -LsSf https://astral.sh/uv/install.sh | sh

  • 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 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 trailofbits/skills at 82fe822625.

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

Commit
82fe822625
Manifest
plugins/modern-python/skills/modern-python/SKILL.md
Scanned
13 files, 2,135 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

The modern-python skill provides AI agents with up-to-date knowledge of Python programming, including best practices, libraries, and frameworks commonly used in modern development. It enables agents to write clean, efficient, and maintainable Python code tailored for backend applications.

When to use it

  • Developing REST APIs or microservices using Flask or FastAPI
  • Writing data processing scripts that leverage Pandas or NumPy
  • Implementing machine learning models with scikit-learn or TensorFlow

Key capabilities

  • Familiarity with modern Python syntax and features (e.g., type hints, async/await)
  • Knowledge of popular backend frameworks like Flask and FastAPI
  • Experience with data manipulation using libraries such as Pandas and NumPy
  • Understanding of deployment practices for Python applications

Example prompts

  • "Write a FastAPI endpoint that returns the current time in JSON format."
  • "Create a script to clean and normalize a CSV file using Pandas."
  • "Implement a basic machine learning model with scikit-learn to classify text data."

Tips & gotchas

  • Ensure your environment has the required dependencies installed for any libraries you plan to use.
  • Modern Python features may not be compatible with older versions of Python, so check the version requirements for your project.