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Testing Python Libraries

Checked
wdm0006·vlatest·backend·MIT

Helps with testing, Python 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 wdm0006/python-skills --skill testing-python-libraries -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

wdm0006

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 wdm0006/python-skills at 954796b7fc.

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

Commit
954796b7fc
Manifest
skills/python/testing-strategy/SKILL.md
Scanned
3 files, 642 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 and analyze tests written for Python libraries. It can run existing test suites, identify failing tests, and report results in a structured format. This enables automated verification of code changes and ensures library stability.

When to use it

  • Automated Code Verification: After making changes to a Python library, automatically run the associated tests to confirm functionality hasn't been broken.
  • Continuous Integration Pipelines: Integrate this skill into CI/CD pipelines to ensure that every commit passes all relevant tests.
  • Debugging and Troubleshooting: Use it to isolate failing test cases when investigating issues within a Python library.
  • Regression Testing: Run existing test suites after updates or dependency changes to identify potential regressions.

Key capabilities

  • Execution of Python unit tests
  • Test result reporting
  • Identification of failed tests

Example prompts

  • "Run the tests for the 'requests' library."
  • "Execute all tests in the 'my_project/tests' directory and report any failures."
  • "Can you run the test suite and tell me which tests failed?"

Tips & gotchas

This skill requires a Python environment with the necessary testing framework (e.g., pytest, unittest) installed for the target library. Ensure that the agent has access to the relevant project files and dependencies.