Individual skill

flaky-test-detector

Identifies non-deterministic or unreliable tests through static code analysis and test result analysis. Use when Claude needs to find flaky tests, analyze test reliability, or investigate intermittent test failures. Supports Python (pytest, unittest) and Java (JUnit, TestNG) test frameworks. Trigger when users mention "flaky tests", "intermittent failures", "non-deterministic tests", "unreliable tests", or ask to "find flaky tests", "analyze test stability", or "why tests fail randomly".

skills/flaky-test-detector/SKILL.md

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Last checked: Nov 6, 2026

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Repository stars (not skill ratings): 259
Repository last updated: Aug 21, 2026
License: Apache-2.0

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claude-skills Repository topic
metaprogramming Repository topic
software-development Repository topic
software-engineering Repository topic
claude Repository topic
claude-code Repository topic
testing Derived category

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SKILL.mdcore · 8,055 bytes
SKILL.mdcore · 8,055 bytes
references/flaky-patterns.mddoc · 6,686 bytes
references/remediation-strategies.mddoc · 9,291 bytes
scripts/analyze_test_results.pyruns · 5,212 bytes

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# Flaky Test Detector

Identify and fix non-deterministic tests that intermittently fail without code changes.

## Quick Start

When a user reports flaky tests or asks for test reliability analysis:

1. **Identify the approach**: Determine if analyzing code patterns or test execution results
2. **Analyze for flakiness**: Look for common flaky patterns in test code or execution history
3. **Report findings**: List identified flaky tests with specific issues
4. **Suggest fixes**: Provide concrete remediation strategies

## What Makes Tests Flaky