Temporal Python Testing
CheckedHelps with Python, testing as part of developing backend services and APIs workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add microck/ordinary-claude-skills --skill temporal-python-testing -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
microck
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Install target
Live repository
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Automated safety checks
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.
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SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
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Only contacts known or declared hosts: github.com.
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.
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github.comsource hostNo obfuscated payloads: passed
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Pinned to a commit: passed
Scanned microck/ordinary-claude-skills at 1056d293d4.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 1056d293d4
- Scanned
- 2 files, 157 lines
About this skill
What it does
This skill enables automated testing of Temporal Python workflows. It allows you to execute tests against your Temporal applications, verifying the correctness and reliability of your distributed state management logic. This includes validating workflow execution outcomes and ensuring proper handling of retries and error conditions.
When to use it
- Continuous Integration: Integrate with CI/CD pipelines to automatically run tests whenever code changes are pushed.
- Regression Testing: Ensure new features or bug fixes don't introduce regressions in existing Temporal workflows.
- Workflow Development: Quickly test and debug individual workflow components during development.
- Performance Validation: Verify that your temporal workflows perform as expected under load.
Key capabilities
- Automated execution of Temporal Python tests.
- Verification of workflow outcomes.
- Handling of retry scenarios in testing.
- Error condition validation within workflows.
Example prompts
- "Run the 'payment_processing' workflow test suite."
- "Execute the integration test for the 'order_fulfillment' workflow, simulating a network timeout."
- "Test the 'data_ingestion' workflow with invalid input data and verify error handling."
Tips & gotchas
Requires a Temporal environment to be running and accessible. Ensure your testing framework is compatible with the skill’s execution environment for accurate results.