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Temporal Python Testing

Checked
eyh0602·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.

Installs under a different name. Its SKILL.md names it using-skillshub, 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 eyh0602/skillshub --skill using-skillshub -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

eyh0602

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 eyh0602/skillshub at 02bc988c53.

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

Commit
02bc988c53
Manifest
skills/using-skillshub/SKILL.md
Scanned
3 files, 382 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 automated testing of Python code running within Temporal workflows. It facilitates writing and executing unit tests for individual workflow activities, ensuring their correctness and reliability. The skill simplifies the process of verifying complex logic distributed across multiple steps in a Temporal execution.

When to use it

  • Testing new Temporal workflows: Ensure newly developed workflows function as expected before deployment.
  • Refactoring existing workflows: Verify that changes don't introduce regressions or unexpected behavior.
  • Debugging workflow failures: Isolate and pinpoint issues within specific activities contributing to overall workflow errors.
  • Continuous Integration/Continuous Delivery (CI/CD): Integrate automated testing into your deployment pipeline for consistent quality assurance.

Key capabilities

  • Automated test execution for Temporal Python workflows.
  • Unit testing of individual workflow activities.
  • Integration with standard Python testing frameworks.

Example prompts

  • "Run the tests for my 'payment_processing' temporal workflow."
  • "Execute unit tests for the 'send_email' activity in the 'order_fulfillment' workflow."
  • "Show me the test results for the latest changes to the 'inventory_management' workflow."

Tips & gotchas

  • Requires a working Temporal environment and Python testing framework setup.
  • Ensure your activities are designed with testability in mind, allowing for mocking and controlled input.