Momentic Result Classification is a skill for classifying failures in Momentic test runs by analyzing results data. It's designed for testers and developers using the Momentic end-to-end testing framework.
$ npx skills add https://github.com/momentic-ai/skills --skill momentic-result-classificationMomentic Result Classification helps developers and testers understand why their end-to-end tests fail by analyzing test results data and identifying likely failure causes. The skill automatically separates genuine bugs from test noise, improving the signal-to-noise ratio of your Momentic test suite. It works by processing Momentic test run results and categorizing failures to help teams focus on real issues. This is particularly useful for teams running large test suites across browser, Android, and iOS platforms who need to quickly triage failures. By integrating with Claude Code, it enables natural-language analysis of test results.
Install using the provided npm command and follow the instructions to classify test failures.
Analyze test run failures
Classify failure categories
Review past test runs for context
Utilize Momentic tools for metadata
$ npx skills add https://github.com/momentic-ai/skills --skill momentic-result-classificationgit clone https://github.com/momentic-ai/skillsCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Check the GitHub repository or documentation for usage examples.
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan