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coverage-analysis

Analyzes code coverage from fuzzing campaigns to identify gaps and bottlenecks.

Updated May 2, 2026
Search Tags:#instrumentation#coverage#fuzzing#llvm-cov#gcovr#corpus analysis#harness debugging
One-click install
npx skills add https://github.com/ayehiaa/my-travel-assistant --skill coverage-analysis-ayehiaa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coverage-analysis
Source: https://github.com/ayehiaa/my-travel-assistant/tree/main/.agents/skills/coverage-analysis
Command: npx skills add https://github.com/ayehiaa/my-travel-assistant --skill coverage-analysis-ayehiaa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coverage analysis helps you determine which code paths your fuzzing harness truly exercises, so you can diagnose why progress stalls and where improvements are needed.

Core Features & Use Cases

  • Assess harness effectiveness: Confirm that your harness reaches the intended parts of the system under test (SUT), not just trivial paths.
  • Track fuzzing progress over time: Compare coverage changes across campaigns to validate harness or target updates.
  • Identify coverage blockers: Detect uncovered regions and common issues like magic value checks that require better seeds or dictionaries.

Use case example: If your fuzzer plateaus after adding new seeds, use coverage analysis to find which functions remain unexecuted and update the harness or corpus accordingly.

Quick Start

Run your fuzzing campaign to generate a corpus, then rebuild with coverage instrumentation and generate a coverage report for the SUT while excluding harness files.

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 validate harness effectiveness?▼

Fuzzing coverage analysis measures code exercised during fuzzing to validate harness effectiveness. By rebuilding with coverage instrumentation and executing the corpus, you generate deterministic reports to confirm the harness reaches intended SUT paths.

Why does my fuzzing campaign plateau and how can I diagnose uncovered code paths?▼

Fuzzing plateaus when the corpus stops triggering new execution paths. Coverage analysis diagnoses uncovered regions, identifying blockers like magic value checks so you can update the harness or add seeds to reach unexecuted functions.

How do I generate a coverage report from a fuzzing corpus using llvm-cov and gcovr?▼

To generate a coverage report, rebuild the target with coverage instrumentation, run the existing fuzzing corpus to generate profile data, and use llvm-profdata, llvm-cov, or gcovr for deterministic report generation while excluding harness files.

Can I use coverage analysis for fuzzing workflows in LLVM, GCC, and Rust environments?▼

Coverage analysis applies to fuzzing workflows across LLVM, GCC, and Rust environments. It requires coverage instrumentation and corpus-based execution with profile data generation to produce reports for the system under test.

What is the best way to track fuzzing progress over time across different harness iterations?▼

Tracking fuzzing progress involves comparing coverage changes across campaigns. This validates whether harness or target updates effectively exercise new code paths rather than repeatedly hitting trivial execution routes.

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