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Python Dev

Listed
tenequm·vlatest·backend·MIT

Generates, debugs, and optimizes Python backend code leveraging industry best practices and tenequm's expertise.

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 tenequm/skills --skill python-dev -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

tenequm

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 undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: peps.python.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

    github.comsource hostpeps.python.orgundeclared

    What it found

    • skills/python-dev/references/uv-reference.md:216contacts peps.python.org
      resp = requests.get("https://peps.python.org/api/peps.json")

  • 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.

  • 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 tenequm/claude-plugins at 6ef6b721ce.

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

Commit
6ef6b721ce
Manifest
skills/python-dev/SKILL.md
Scanned
8 files, 1,858 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 tenequm-python-dev skill allows AI agents to execute Python code. This enables tasks like data manipulation, running scripts, and interacting with external APIs through Python libraries. It provides a secure environment for executing potentially complex or resource-intensive operations.

When to use it

  • Data Transformation: When you need an agent to clean, process, or transform data from various sources into a usable format.
  • Script Execution: To run existing Python scripts that automate tasks or perform specific calculations.
  • API Integration: For interacting with APIs that have Python libraries available for simplified access.
  • Code Generation & Testing: To generate small snippets of code and test their functionality within a controlled environment.

Key capabilities

  • Python Code Execution
  • Secure Environment
  • Integration with external libraries (implicitly supported by Python)

Example prompts

  • "Write a python script to calculate the factorial of 10."
  • "Run this python code: print('Hello, world!')"
  • “Can you extract all email addresses from this text using a regular expression in Python?”

Tips & gotchas

The agent's capabilities are limited by available Python libraries and system resources. Ensure the required dependencies are present or installable within the execution environment for optimal results.