Python

Name: Python
Author: lanej

Checked

lanej·vlatest·backend

Automates Python script execution, data processing, and API interactions within your backend systems.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Run this in your project

terminal

$ npx skills add lanej/dotfiles --skill python -a claude-code

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

lanej

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 29 Sept 2026

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
Only contacts known or declared hosts: api.github.com.
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
api.github.comsource host
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 lanej/dotfiles at c7455c0154.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: c7455c0154
Manifest: claude/skills/python/SKILL.md
Scanned: 2 files, 776 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

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 is authored by lanej and falls under the backend category.

When to use it

Data Processing: When you need to clean, transform, or analyze structured data that's too complex for simple text-based operations.
API Interactions: To interact with APIs requiring Python libraries like requests or specialized authentication methods.
Calculations & Logic: For performing complex mathematical calculations or implementing intricate logic beyond basic reasoning.
Script Execution: When you need to execute existing Python scripts as part of a larger workflow.

Key capabilities

Python code execution
Access to standard Python libraries (implicitly)
Backend functionality

Example prompts

"Calculate the factorial of 10 using Python."
"Fetch data from this API endpoint: https://example.com/data and return the JSON response in Python format."
"Run this Python script: print('Hello, world!')"

Tips & gotchas

This skill requires a working Python environment to be available for the AI agent. The specific versions of libraries accessible might depend on the underlying environment configuration.