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Python Testing

Checked
athola·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 athola/claude-night-market --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

athola

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 athola/claude-night-market at 9045831255.

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

Commit
9045831255
Manifest
plugins/parseltongue/skills/python-testing/SKILL.md
Scanned
7 files, 928 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 execute Python testing scripts. It can run tests, analyze results, and provide reports on code quality. The agent can be instructed to perform specific test suites or individual tests within a project.

When to use it

  • Automated Regression Testing: Run existing test suites after code changes to ensure no regressions were introduced.
  • Unit Test Execution: Execute unit tests for individual functions or classes in Python projects.
  • Code Quality Assessment: Run linters and static analysis tools as part of a development workflow.
  • Debugging Assistance: Help identify the source of errors by executing specific test cases and reporting failures.

Key capabilities

  • Executes Python testing scripts
  • Runs test suites
  • Analyzes test results
  • Provides reports on code quality

Example prompts

  • "Run all tests in the tests/ directory."
  • "Execute the test_user_authentication.py file and report any failures."
  • "Run the linter against my Python code and highlight potential issues."

Tips & gotchas

The agent requires access to a Python environment with necessary testing libraries installed. Ensure that the test scripts are properly formatted and runnable within the target Python environment for accurate results.