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coverage-analysis

Analyze fuzzing coverage to reveal unexecuted code paths.

Updated Mar 17, 2026
Search Tags:#testing#instrumentation#coverage#fuzzing#harness#llvm-cov
One-click install
npx skills add https://github.com/Avi977/ace-claude-toolkit --skill coverage-analysis-avi977
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coverage-analysis
Source: https://github.com/Avi977/ace-claude-toolkit/tree/main/skills/testing-handbook-skills/coverage-analysis
Command: npx skills add https://github.com/Avi977/ace-claude-toolkit --skill coverage-analysis-avi977

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coverage analysis measures code exercised during fuzzing. It helps identify fuzzing blockers like magic value checks and tracks the effectiveness of harness improvements over time.

Core Features & Use Cases

  • Instrumentation-aware coverage collection to reveal which code paths are executed by fuzzing harnesses
  • Baseline and compare campaigns to quantify improvements and regressions in coverage
  • Practical workflow guidance for integrating coverage metrics into fuzzing campaigns

Quick Start

Run coverage analysis on your fuzzing project to identify uncovered code paths and optimize harnesses.

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 unexecuted code paths?▼

Fuzzing coverage analysis measures code exercised during fuzzing to reveal unexecuted code paths. It identifies blockers like magic value checks and tracks harness effectiveness by collecting instrumentation-aware metrics.

What is the best way to baseline and compare fuzzing campaign effectiveness?▼

Baseline and compare fuzzing campaigns by quantifying coverage improvements and regressions over time. Instrumentation-aware coverage collection reveals which code paths are executed by harnesses, driving measurable improvements.

Does coverage analysis require LLVM or Clang instrumentation to report per-target coverage?▼

Yes, coverage analysis requires LLVM/Clang or equivalent coverage tooling using -fprofile-instr-generate and -fcoverage-mapping flags, along with a functioning fuzzing harness to report per-target coverage.

How do I use coverage metrics to improve my fuzzing harness?▼

Use coverage metrics to identify uncovered code paths and optimize harnesses accordingly. Analyzing coverage during fuzzing reveals blockers like magic value checks, enabling targeted harness improvements.

Can I apply fuzzing coverage analysis across different programming languages and platforms?▼

Yes, coverage analysis is applicable to fuzzing campaigns across languages and platforms. It requires equivalent coverage tooling like LLVM/Clang and a functioning fuzzing harness to collect per-target coverage metrics.

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