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Python Data Classes

Checked
thebushidocollective·vlatest·backend

Helps with Python, data as part of developing backend services and APIs workflows.

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 thebushidocollective/han --skill python-data-classes -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

thebushidocollective

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 thebushidocollective/han at 19caa51d5f.

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

Commit
19caa51d5f
Manifest
plugins/languages/python/skills/python-data-classes/SKILL.md
Scanned
1 file, 621 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 allows AI agents to leverage Python data classes for structured data handling. It facilitates defining custom data structures with automatic type annotations and default values, simplifying data management within agent workflows. The skill provides a convenient way to create and manipulate objects representing complex information in a clear and concise manner.

When to use it

  • Data Extraction & Transformation: Use this when an agent needs to extract data from unstructured sources (like text or APIs) and organize it into a structured format for further processing.
  • Configuration Management: Ideal for managing configurations where you need to define objects with specific attributes and default values, such as API keys or model parameters.
  • State Representation: When an agent needs to maintain state information across multiple steps in a task, data classes provide a robust way to represent that state.
  • Data Validation: Employ this skill when you need to ensure the integrity of data being processed by your AI agent by enforcing type constraints and default values within defined structures.

Key capabilities

  • Definition of custom data structures with fields and types.
  • Automatic generation of __init__, __repr__, and other methods.
  • Type annotations for improved code clarity and maintainability.
  • Default value assignment to fields.

Example prompts

  • "Create a data class called 'Product' with attributes: name (string), price (float), and quantity (integer)."
  • "Define a data class 'Order' with fields for customer, items (list of Product objects), and total amount."
  • “Generate a data class named ‘ApiResponse’ with fields status_code (int) and response_body (string).”

Tips & gotchas

  • Requires Python 3.7 or higher to utilize the dataclasses module effectively. Ensure your agent's environment meets this requirement.