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Python Configuration

Checked
wshobson·vlatest·backend·MIT

Automates Python environment setup and configuration using scripts, ensuring consistent deployments and reproducible results.

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 wshobson/agents --skill python-configuration -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

wshobson

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 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 wshobson/agents at 46891e7e60.

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

Scanned
2 files, 347 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 Python Configuration skill enables AI agents to manage and modify Python application configurations dynamically. It allows users to read, write, and update configuration files in formats like JSON, YAML, or INI, ensuring that applications can adapt to different environments without requiring code changes.

When to use it

  • Adjusting settings for a web application between development and production environments.
  • Automating the setup of configuration files during deployment pipelines.
  • Generating default configuration templates for new projects based on user input.

Key capabilities

  • Reading and parsing configuration files in multiple formats (JSON, YAML, INI).
  • Writing updated configurations back to disk or memory.
  • Validating configuration data against predefined schemas.
  • Supporting environment-specific overrides for settings.

Example prompts

  • "Generate a default config file for my Flask app using the provided template."
  • "Update the database URL in the production config file with the new connection string."
  • "Validate this YAML configuration against the schema and report any errors."

Tips & gotchas

  • Ensure that the target configuration files are properly backed up before making changes.
  • Some formats (like INI) may have limited support for complex data structures compared to JSON or YAML.