atheris

Fuzz Python code and C extensions to detect memory corruption and crashes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/DobricLilujun/LabAgentSkill --skill atheris-dobriclilujun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: atheris
Source: https://github.com/DobricLilujun/LabAgentSkill/tree/main/skillsHub/skills_scaling/testing-handbook-skills/skills/atheris
Command: npx skills add https://github.com/DobricLilujun/LabAgentSkill --skill atheris-dobriclilujun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Atheris fuzzing helps developers detect memory corruption and reliability issues by fuzzing Python code and C extensions.

Core Features & Use Cases

  • Coverage-guided fuzzing for Python code and native extensions
  • Harness-based testing with instrumentation decorators
  • Docker-based setup and cross-platform fuzzing guidance
  • Observability of crashes and flaky behavior
  • Integration with libFuzzer and sanitizers

Quick Start

Install Atheris, write a harness with @atheris.instrument_func, and run the fuzzer to discover crashes in your Python code or C extensions.

Frequently Asked Questions about atheris

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I fuzz Python code to find memory corruption issues?

You fuzz Python code by writing a harness with instrumentation decorators and running a coverage-guided fuzzer to automatically discover crashes and undefined behavior in your target package.

What is coverage-guided fuzzing for Python C extensions?

Coverage-guided fuzzing for Python C extensions is a software testing technique that monitors code execution paths to generate inputs capable of uncovering memory corruption and reliability issues in native code.

Can I use libFuzzer and ASAN with my Python fuzzing harness?

Yes, you can integrate libFuzzer and sanitizers like ASAN with your Python fuzzing harness to detect undefined behavior and memory corruption issues during the coverage-guided testing process.

How do I set up a Docker environment for fuzzing Python packages?

You set up a Docker environment for fuzzing Python packages by configuring a containerized workspace that supports cross-platform fuzzing guidance, allowing you to consistently build and run instrumented test harnesses.

Why does my Python fuzzer not detect crashes in native extensions?

Fuzzers fail to detect crashes in native extensions when harnesses lack proper instrumentation or sanitizer integration, preventing the fuzzer from observing memory corruption and flaky behavior during execution.