IoT Fuzz Skill

This skill is designed for IoT devices such as Cisco IOS XE devices. It guides threat-model-first attack-surface selection, reverse analysis, dynamic Rust LibAFL fuzzer generation, live-device replay, crash triage, and vulnerability reporting.

Install

Install for Codex by default:

python3 scripts/install_skill.py --force

Install for Claude Code instead:

python3 scripts/install_skill.py --manager claude --force

Preview what will be copied without writing:

python3 scripts/install_skill.py --dry-run

The installer copies only portable skill files and reusable scaffolds. It does not copy LibAFL/, Fuzzing101/, validation/, targets/, skills/, or campaign outputs.

Quick Start

LibAFL and a Rust toolchain are needed:

git clone https://github.com/AFLplusplus/LibAFL
cargo build --release

IDA Pro MCP, Ghidra, or equivalent reverse-engineering tooling is recommended for binary and shared-library target selection.