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name: property-based-testing description: Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests.

Property-Based Testing Guide

Use this skill proactively during development when you encounter patterns where PBT provides stronger coverage than example-based tests.

When to Invoke (Automatic Detection)

Invoke this skill when you detect:

• Serialization pairs: encode/decode, serialize/deserialize, toJSON/fromJSON, pack/unpack
• Parsers: URL parsing, config parsing, protocol parsing, string-to-structured-data
• Normalization: normalize, sanitize, clean, canonicalize, format
• Validators: is_valid, validate, check_* (especially with normalizers)
• Data structures: Custom collections with add/remove/get operations
• Mathematical/algorithmic: Pure functions, sorting, ordering, comparators
• Smart contracts: Solidity/Vyper contracts, token operations, state invariants, access control

Priority by pattern:

When NOT to Use

Do NOT use this skill for:

• Simple CRUD operations without transformation logic
• One-off scripts or throwaway code
• Code with side effects that cannot be isolated (network calls, database writes)
• Tests where specific example cases are sufficient and edge cases are well-understood
• Integration or end-to-end testing (PBT is best for unit/component testing)

Property Catalog (Quick Reference)

Strength hierarchy (weakest to strongest): No Exception → Type Preservation → Invariant → Idempotence → Roundtrip

Decision Tree

Based on the current task, read the appropriate section:

CopyTASK: Writing new tests
  → Read [{baseDir}/references/generating.md]({baseDir}/references/generating.md) (test generation patterns and examples)
  → Then [{baseDir}/references/strategies.md]({baseDir}/references/strategies.md) if input generation is complex

TASK: Designing a new feature
  → Read [{baseDir}/references/design.md]({baseDir}/references/design.md) (Property-Driven Development approach)

TASK: Code is difficult to test (mixed I/O, missing inverses)
  → Read [{baseDir}/references/refactoring.md]({baseDir}/references/refactoring.md) (refactoring patterns for testability)

TASK: Reviewing existing PBT tests
  → Read [{baseDir}/references/reviewing.md]({baseDir}/references/reviewing.md) (quality checklist and anti-patterns)

TASK: Need library reference
  → Read [{baseDir}/references/libraries.md]({baseDir}/references/libraries.md) (PBT libraries by language, includes smart contract tools)

How to Suggest PBT

When you detect a high-value pattern while writing tests, offer PBT as an option:

"I notice encode_message/decode_message is a serialization pair. Property-based testing with a roundtrip property would provide stronger coverage than example tests. Want me to use that approach?"

If codebase already uses a PBT library (Hypothesis, fast-check, proptest, Echidna), be more direct:

"This codebase uses Hypothesis. I'll write property-based tests for this serialization pair using a roundtrip property."

If user declines, write good example-based tests without further prompting.

When NOT to Use PBT

• Simple CRUD without complex validation
• UI/presentation logic
• Integration tests requiring complex external setup
• Prototyping where requirements are fluid
• User explicitly requests example-based tests only

Red Flags

• Recommending trivial getters/setters
• Missing paired operations (encode without decode)
• Ignoring type hints (well-typed = easier to test)
• Overwhelming user with candidates (limit to top 5-10)
• Being pushy after user declines