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Python Testing Standards

Checked
clostaunau·vlatest·backend

Helps with Python, testing 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 clostaunau/holiday-card --skill python-testing-standards -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

clostaunau

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 clostaunau/holiday-card at d7c92b29e8.

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

Commit
d7c92b29e8
Manifest
.claude/skills/python-testing-standards/SKILL.md
Scanned
8 files, 5,091 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 ensures Python code adheres to established testing standards. It automatically generates test suites based on existing code, and enforces consistent formatting across tests. The goal is to improve the reliability and maintainability of Python projects by promoting best practices in automated testing.

When to use it

  • New Project Setup: When starting a new Python project, use this skill to establish a strong foundation for test-driven development.
  • Legacy Code Refactoring: To systematically introduce tests into an existing codebase and improve its quality.
  • Code Reviews: Integrate the skill into code review processes to automatically check for adherence to testing standards.
  • Continuous Integration (CI): Automate checks within a CI pipeline to ensure all new or modified code meets testing requirements.

Key capabilities

  • Automatic test suite generation
  • Enforcement of consistent test formatting
  • Adherence to established Python testing standards
  • Integration with existing codebases

Example prompts

  • "Generate tests for this Python function: [code snippet]"
  • "Format the tests in this directory to match project standards."
  • "Check if this code adheres to Python testing best practices."

Tips & gotchas

  • This skill requires a basic understanding of Python and automated testing concepts.
  • The effectiveness depends on the clarity and structure of the existing codebase; poorly written code may result in less useful test suites.