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Python Testing

Checked
peopleforrester·vlatest·backend·MIT

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 peopleforrester/claude-dotfiles --skill python-testing -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

peopleforrester

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 peopleforrester/claude-dotfiles at db7caa0374.

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

Commit
db7caa0374
Manifest
skills/development/python-testing/SKILL.md
Scanned
1 file, 151 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 an AI agent to execute Python testing scripts. It can run tests using standard Python testing frameworks, providing feedback on code quality and identifying potential errors. The skill is designed for automated testing workflows within a development environment.

When to use it

  • Automated Code Quality Checks: Integrate into CI/CD pipelines to automatically assess the quality of newly written or modified Python code.
  • Regression Testing: Run existing test suites after code changes to ensure no new bugs have been introduced.
  • Debugging Assistance: Execute specific tests to isolate and diagnose issues within a Python application.
  • Test-Driven Development (TDD): Quickly execute tests as you write your Python code, ensuring it meets the defined requirements.

Key capabilities

  • Executes Python testing scripts
  • Supports standard Python testing frameworks
  • Provides feedback on test results

Example prompts

  • "Run all tests in the tests/ directory."
  • "Execute the test_user_authentication.py file."
  • "Can you run the unit tests for the payment_processing module?"

Tips & gotchas

  • The AI agent requires access to a Python environment with necessary testing libraries installed.
  • Ensure the test scripts are properly formatted and follow standard Python testing conventions.