Individual skill
directed-test-input-generator
Generate targeted test inputs to reach specific code paths and hard-to-reach behaviors in Python code. Use when: (1) Targeting uncovered branches or specific execution paths, (2) Need coverage-guided test generation, (3) Want to leverage LLM understanding of code semantics for meaningful test inputs, (4) Testing boundary conditions and edge cases systematically, (5) Combining symbolic reasoning with fuzzing. Provides path analysis, constraint solving, coverage-guided strategies, and LLM-driven semantic generation for comprehensive test input creation.
skills/directed-test-input-generator/SKILL.md
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- 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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# Directed Test Input Generator
Generate test inputs that target specific code paths and hard-to-reach behaviors using program analysis, coverage feedback, and LLM-driven semantic understanding.
## Overview
Directed test input generation combines multiple techniques to create test inputs that explore specific execution paths:
1. **Path Analysis**: Extract control flow paths and their constraints
2. **Constraint Solving**: Generate inputs satisfying path conditions
3. **Coverage Guidance**: Use coverage feedback to iteratively reach new paths
4. **LLM Semantic Understanding**: Leverage code understanding for meaningful inputs
## Quick Start