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Temporal Python Testing

Checked
hermeticormus·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 ormus-solutions/libreuiux-claude-code --skill temporal-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

hermeticormus

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 hermeticormus/libreuiux-claude-code at 2a69cbbc46.

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

Commit
2a69cbbc46
Manifest
plugins/backend-development/skills/temporal-python-testing/SKILL.md
Scanned
5 files, 1,808 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.
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About this skill

What it does

This skill enables AI agents to write and execute Python tests within a Temporal workflow. It facilitates the creation of robust, distributed systems by allowing for automated verification of code behavior across time and multiple executions. The skill supports defining test cases that interact with Temporal activities and workflows, ensuring their reliability.

When to use it

  • Testing asynchronous tasks: Verify the correct execution order and data consistency of long-running background jobs managed by Temporal.
  • Distributed system validation: Ensure components within a distributed architecture function correctly when interacting through Temporal workflows.
  • Workflow idempotency checks: Confirm that repeating a workflow or activity produces the expected results, even with potential retries.
  • Integration testing of Temporal applications: Automate the process of testing entire Temporal application stacks.

Key capabilities

  • Temporal Python SDK integration
  • Test case definition within workflows
  • Automated test execution and reporting
  • Support for defining assertions against workflow state

Example prompts

  • "Write a Temporal workflow that tests if activity 'process_order' completes successfully after 3 retries."
  • "Create a test to verify the idempotency of my Temporal saga."
  • "Generate Python code for testing the data consistency between two activities in a Temporal workflow."

Tips & gotchas

  • Requires familiarity with both Python and the Temporal SDK.
  • Test cases should be designed to cover various failure scenarios and edge cases within your Temporal workflows.