Detect Python Command

Name: Detect Python Command
Author: drillan

Checked

drillan·vlatest·backend·Apache-2.0

Identifies and extracts Python commands from text to enable automated execution and analysis within 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 drillan/mixseek-plus --skill detect-python-command -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

drillan

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 1 Oct 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
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.
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 drillan/mixseek-plus at 387c745689.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit: 387c745689
Manifest: skills/detect-python-command/SKILL.md
Scanned: 3 files, 252 lines
Copies in repo: 3 — 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

The detect-python-command skill identifies whether a given string is a valid Python command. It can determine if a provided sequence of characters represents a recognized function, module, or other executable element within the Python language. This allows for automated analysis and validation of code snippets or user input.

When to use it

Code Validation: Check if a user-provided string is a valid Python command before executing it in an interactive environment.
Automated Code Analysis: Integrate into tools that need to identify potential Python commands within larger text documents.
Educational Applications: Help users learn about the syntax and structure of the Python language by verifying their input.
Script Generation: Validate partially generated scripts before attempting execution.

Key capabilities

Identifies valid Python commands.
Processes string inputs to determine command validity.

Example prompts

"Is 'print("Hello")' a valid Python command?"
"Can you tell me if 'import os' is a Python command?"
"Validate this: 'def my_function():'"

Tips & gotchas

The skill’s accuracy depends on the completeness of its internal knowledge base of Python commands. Complex or highly specialized code may not be accurately identified.