Can it help me fix the errors it finds?

While its primary role is extraction and summarization, identifying the exact error and context is the essential first step toward using Claude to generate automated fix suggestions.

How does it categorize different types of errors?

The skill uses pattern matching to distinguish between logic-based assertion failures, execution-based runtime errors (like ValueErrors), and resource-based issues like timeouts.

Can this skill handle logs from any testing framework?

Yes, it is designed to recognize common failure patterns like AssertionError, FAILED markers, and standard runtime errors used across most modern testing frameworks.

Does it work with CI/CD logs?

Absolutely. It is optimized for parsing logs generated by automated CI environments to help developers quickly understand why a build failed without downloading massive log files.

Test Failure Summarizer

Name: Test Failure Summarizer
Author: mvillmow

bymvillmow

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Seguridad y Pruebas

Extracts and summarizes failure data from test logs to identify root causes and patterns quickly.

Acerca de

The Test Failure Summarizer is a specialized skill designed to streamline the debugging process by parsing verbose test logs and distilling them into actionable insights. It identifies specific test failures, categorizes them into types such as assertion errors, runtime issues, or timeouts, and provides a structured summary of the total failure count and most frequent issues. This tool is particularly effective for developers managing large test suites or troubleshooting complex CI/CD pipeline failures where manual log inspection is time-consuming and prone to oversight.

Características Principales

Intelligent categorization of failures into assertion, runtime, and timeout types
Pattern recognition to identify recurring failure causes across multiple tests
Generation of concise failure reports including success percentages and error snippets
12 GitHub stars
Extraction of stack traces and context for rapid root cause analysis
Automated parsing of large-scale test logs to isolate specific error messages

Casos de Uso

Quickly diagnosing failed CI/CD pipeline runs without manual log scrolling
Summarizing regression test results for pull request reviews and team updates
Identifying common patterns and flaky tests within large-scale test suites

Acerca de

Características Principales

Intelligent categorization of failures into assertion, runtime, and timeout types
Pattern recognition to identify recurring failure causes across multiple tests
Generation of concise failure reports including success percentages and error snippets
12 GitHub stars
Extraction of stack traces and context for rapid root cause analysis
Automated parsing of large-scale test logs to isolate specific error messages

Casos de Uso

Quickly diagnosing failed CI/CD pipeline runs without manual log scrolling
Summarizing regression test results for pull request reviews and team updates
Identifying common patterns and flaky tests within large-scale test suites