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Pytest Testing

Checked
pluginagentmarketplace·vlatest·testing

Automates Python test execution using pytest, streamlining development workflows and ensuring code quality.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

Installs under a different name. Its SKILL.md names it Pytest Testing, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add pluginagentmarketplace/custom-plugin-python --skill "Pytest 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

pluginagentmarketplace

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 pluginagentmarketplace/custom-plugin-python at 4415517654.

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

Commit
4415517654
Manifest
skills/pytest-testing/SKILL.md
Scanned
4 files, 353 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 enables AI agents to execute Pytest test suites directly within the Python runtime environment. It allows for automated verification of code logic, regression testing, and validation of software components using the industry-standard Pytest framework.

When to use it

  • Validating new feature implementations before merging code into a production branch.
  • Running regression tests after modifying shared utility functions or libraries.
  • Automating quality assurance pipelines in CI/CD workflows for Python applications.
  • Verifying that recent dependency updates do not break existing functionality.

Key capabilities

  • Executes .py test files containing standard pytest markers and fixtures.
  • Generates detailed output reports showing passed, failed, and skipped tests.
  • Integrates seamlessly with the Python interpreter to run isolated test environments.
  • Supports assertion-based testing for validating expected outputs against actual results.

Example prompts

  • "Run the full test suite in the tests/ directory and summarize any failures."
  • "Execute only the unit tests marked with @pytest.mark.integration."
  • "Generate a report of failed tests after I updated the database connection module."

Tips & gotchas

Ensure your project has Pytest installed via pip install pytest before invoking this skill, as it relies on the framework's command-line interface. Limit execution to specific test files or markers if running the entire suite takes too long for real-time feedback loops.