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Python

Listed
ahgraber·vlatest·backend·CC0-1.0

Executes Python code snippets to retrieve, process, and manipulate data from various APIs and databases.

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 ahgraber/skills --skill 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

ahgraber

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: astral.sh.

    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

    gist.github.comsource hostastral.shundeclared

    What it found

    • skills/python/scripts/test_uv_security_audit.py:21contacts astral.sh
      Ref: https://astral.sh/blog/uv-audit

  • 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 ahgraber/skills at 5fa2be4df6.

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

Commit
5fa2be4df6
Manifest
skills/python/SKILL.md
Scanned
6 files, 1,038 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 provides access to Python execution capabilities within an AI agent. It allows the agent to run Python code, enabling tasks like data manipulation, calculations, and interacting with external APIs through Python libraries. The skill facilitates complex logic and automation that would be difficult or impossible using only natural language processing.

When to use it

  • Data Analysis: When you need an AI agent to perform calculations or extract insights from structured data (e.g., CSV files, JSON responses).
  • API Integration: To interact with external services and APIs that have Python libraries available.
  • Complex Logic: When the required task involves intricate steps or conditional logic best expressed in code.
  • Automated Tasks: For automating repetitive processes that can be scripted using Python.

Key capabilities

  • Python Code Execution
  • Access to standard Python libraries
  • Data manipulation and analysis
  • API integration via Python libraries

Example prompts

  • "Calculate the average of these numbers: 10, 20, 30, 40."
  • "Fetch the current weather data for London using a suitable API."
  • "Read this CSV file and extract the column containing email addresses."

Tips & gotchas

  • The agent requires basic Python knowledge to formulate effective prompts.
  • Be mindful of potential security risks when executing external code; ensure trusted sources are used.