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coverage-analysis

Measure code coverage to reveal untested paths in C/C++ and Rust fuzzing campaigns.

Updated Apr 6, 2026
Search Tags:#reporting#instrumentation#coverage#fuzzing#harness#llvm-cov#gcovr
One-click install
npx skills add https://github.com/dakshrawat298-gif/SOL-ALPHA-GUARDIAN --skill coverage-analysis-dakshrawat298-gif
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coverage-analysis
Source: https://github.com/dakshrawat298-gif/SOL-ALPHA-GUARDIAN/tree/main/packages/skills/skills/testing-handbook-skills/skills/coverage-analysis
Command: npx skills add https://github.com/dakshrawat298-gif/SOL-ALPHA-GUARDIAN --skill coverage-analysis-dakshrawat298-gif

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coverage analysis helps identify which parts of your fuzzing harness and SUT are exercised, revealing gaps and guiding improvements to uncover more code paths.

Core Features & Use Cases

  • Compute and visualize coverage data across fuzz campaigns
  • Detect magic value checks and dead code to refine harnesses and dictionaries
  • Integrate with LLVM/GCOV tooling to generate reports and track trends over time

Quick Start

Run a coverage pass on your fuzz target and generate a report to identify untested regions.

Frequently Asked Questions about coverage-analysis

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

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

Fuzzing coverage analysis measures which parts of your SUT and harness are exercised to reveal untested code paths. It computes and visualizes coverage data across fuzz campaigns to detect gaps and guide harness improvements.

Can I use llvm-cov and gcovr to generate fuzz coverage reports for C/C++ and Rust?▼

Yes, you can use llvm-cov and gcovr to generate fuzz coverage reports for C/C++ and Rust projects. The analysis integrates with LLVM and GCOV tooling to compute coverage data, generate reports, and track trends over time.

How do I track coverage trends during a fuzzing campaign?▼

You track coverage trends during a fuzzing campaign by integrating LLVM/GCOV tooling to generate reports over time. This measures coverage data across fuzz campaigns, helping you assess harness effectiveness and identify untested regions.

Does coverage analysis work with cargo-fuzz or libFuzzer harnesses?▼

Coverage analysis requires integration with cargo-fuzz or libFuzzer to generate and compare reports. It works across C/C++ and Rust projects to assess harness effectiveness and track coverage trends during fuzzing efforts.

Why does my fuzzing harness miss certain code paths and how can coverage help?▼

Your fuzzing harness misses code paths when coverage analysis reveals untested regions or dead code. By detecting magic value checks and dead code, coverage data helps refine harnesses and dictionaries to uncover more paths.

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