atheris
Sets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.
Install
With your agent
Install OMGSkills skill "trailofbits/skills:atheris" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
git clone https://github.com/trailofbits/skills /tmp/skills && ln -s /tmp/skills/plugins/testing-handbook-skills/skills/atheris ~/.claude/skills/atheris
From README
Atheris Atheris is a coverage-guided Python fuzzer built on libFuzzer. It enables fuzzing of both pure Python code and Python C extensions with integrated AddressSanitizer support for detecting memory corruption issues. When to Use | Fuzzer | Best For | Complexity | |--------|----------|------------| | Atheris | Python code and C extensions | Low-Medium | | Hypothesis | Property-based testing | Low | | python-afl | AFL-style fuzzing | Medium | Choose Atheris when: Fuzzing pure Python code with coverage guidance Testing Python C extensions for memory corruption Integration with libFuzzer ecosystem is desired AddressSanitizer support is needed Run: Atheris supports 32-bit and 64-bit Linux, and macOS. We recommend fuzzing on Linux because it's simpler to manage and often faster.
More from this repo
address-sanitizer
Builds and runs code under AddressSanitizer to catch buffer overflows, use-after-free, and other memory errors during...
aflpp
Sets up and runs AFL++ for multi-core fuzzing of C/C++ projects built with afl-clang-fast or afl-gcc-fast.
agentic-actions-auditor
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action,...
