coverage-analysis
Measures and interprets what a fuzzing campaign actually reaches, using llvm-cov, lcov, or a fuzzer's own coverage output.
About
Measures and interprets what a fuzzing campaign actually reaches, using llvm-cov, lcov, or a fuzzer's own coverage output. Covers baselining a new campaign, reading coverage reports, and turning uncovered regions into harness, seed, or dictionary work. Use when a fuzzer plateaus, when judging whether a harness is effective, after changing a harness, or when asking why some code is never reached.
What it can do
- Measures and interprets what a fuzzing campaign actually reaches, using llvm-cov, lcov, or a fuzzer's own coverage output. Covers baselining a new campaign, reading coverage reports, and turning uncovered regions into harness, seed, or dictionary work. Use when a fuzzer plateaus, when judging whether a harness is effective, after changing a harness, or when asking why some code is never reached.
Setup
- Install:
npx skills add trailofbits/skills --all - The skill auto-loads when relevant, or invoke it by name in your agent.
Prerequisites
A compatible AI coding agent (Claude Code, Cursor, etc.).
Use cases
Works with
Trust score — 9/10
Trail of Bits is a top-tier security research firm; their skills are professional-grade auditing and fuzzing playbooks used by their own engineers. Open source.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.