Fuzzing Operations Skill
Comprehensive fuzzing operations with AFL++, libFuzzer, and OSS-Fuzz integration
npx skills add a5c-ai/babysitter --skill fuzzing-ops --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Fuzzing Operations Skill ## Overview This skill provides comprehensive fuzzing capabilities for automated vulnerability discovery using industry-standard fuzzing frameworks. ## Capabilities - Configure and launch AFL++ campaigns - Build instrumented binaries with coverage - Create and manage seed corpora - Triage and deduplicate crash files - Run afl-tmin and afl-cmin for minimization - Monitor fuzzing progress and coverage - Generate crash reproduction scripts - Support libFuzzer and honggfuzz ## Target Processes - fuzzing-campaign.js - security-tool-development.js - vulnerability-research-workflow.js ## Dependencies - AFL++ (afl-fuzz, afl-gcc, afl-clang-fast) - LLVM (for instrumentation) - Sanitizers (ASAN, MSAN, UBSAN) - libFuzzer (LLVM) - honggfuzz (optional) - Python for crash analysis scripts ## Usage Context This skill is essential for: - Automated vulnerability discovery - Coverage-guided fuzzing campaigns - Crash triage and root cause analysis - Harness development for fuzzing - Integration with CI/CD security testing ## Integration Notes - Supports parallel fuzzing across multiple cores - Can integrate with corpus management systems - Generates reproducible crash test c
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Integration Notes
What does the Fuzzing Operations Skill skill do?
Comprehensive fuzzing operations with AFL++, libFuzzer, and OSS-Fuzz integration
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill fuzzing-ops --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.