coverage-analysis

Measure instrumented code coverage during fuzzing and generate reports.

47|5|Updated Apr 25, 2026

Search Tags:#testing #reports #instrumentation #coverage #code #fuzzing

Ready to run

npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill coverage-analysis-redhatproductsecurity

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: coverage-analysis
Source: https://github.com/RedHatProductSecurity/prodsec-skills/tree/main/module/skills/coverage-analysis
Command: npx skills add https://github.com/RedHatProductSecurity/prodsec-skills --skill coverage-analysis-redhatproductsecurity

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Coverage analysis helps assess which parts of code are exercised during fuzzing, enabling developers to identify gaps and improve test effectiveness.

Core Features & Use Cases

Coverage instrumentation: Set up compiler flags to track executed code paths during fuzzing runs.
Report generation: Create visual and textual reports showing covered versus uncovered code areas.
Use Case: When optimizing fuzzing campaigns, use coverage analysis to determine if new inputs explore previously unreached code segments and improve harness effectiveness.

Quick Start

Build your application with coverage flags, run your fuzzing campaign, then generate coverage reports to visualize which parts of the code were exercised.

Frequently Asked Questions about coverage-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I measure code coverage during fuzzing to find untested paths?▼

Code coverage during fuzzing is measured by building your application with specific compiler instrumentation flags, running the fuzzing campaign, and generating reports to visualize exercised versus unreached code segments.

What is the best way to evaluate fuzzing harness completeness and progress?▼

Evaluating fuzzing harness completeness involves analyzing instrumented code coverage reports to identify gaps where new inputs fail to explore previously unreached code paths, allowing you to refine your testing strategy effectively.

How do I generate coverage reports to visualize covered and uncovered code areas?▼

Coverage reports are generated after running your fuzzing campaign by processing the instrumented code execution data, creating visual and textual outputs that display which specific code areas were covered or left untested.

Do I need specific compiler flags to track executed code paths for fuzzing?▼

Yes, you need specific compiler flags for coverage instrumentation to track executed code paths during fuzzing runs, enabling the system to accurately record which application segments are exercised by test inputs.

Can I use coverage analysis to optimize my fuzzing campaigns and improve test effectiveness?▼

Yes, coverage analysis optimizes fuzzing campaigns by determining if new inputs explore previously unreached code segments, directly identifying testing gaps and improving overall harness effectiveness and test quality.

Why does my fuzzing campaign not explore previously unreached code segments?▼

Fuzzing campaigns fail to explore unreached code segments when harness completeness is insufficient; coverage analysis identifies these untested paths so you can refine inputs and improve overall test effectiveness.