Individual skill
fuzz-testing-designer
Creates property-based and mutation fuzz testing harnesses (AFL, Atheris, fast-check) to discover unexpected panics and crashes.
skills/testing/fuzz-testing-designer/SKILL.md
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README.mddoc · 649 bytesSKILL.mdcore · 1,861 bytesexamples/example.mddoc · 897 bytes
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## Purpose
Design coverage-guided fuzz testing harnesses and property-based tests (AFL, libFuzzer, Atheris, Go native `testing.F`, fast-check) that generate millions of pseudo-random, adversarial inputs to discover buffer overflows, unhandled panics, assertion failures, and infinite loops.
## When to Use
- Testing data parsers (JSON, XML, YAML, binary protocols, image decoders).
- Validating cryptographic algorithms, compilers, and serialization engines.
- Securing untrusted user input handlers against malicious exploit payloads.
## What to Analyze
1. **Fuzz Target Entry Point**: Minimal, deterministic function signature accepting byte slices or structured objects.
2. **Seed Corpus**: High-quality initial valid samples to guide mutation algorithms toward deeper code paths.