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alialavia/pbt-skills

Claude Code skills for genuine property-based testing: discovery workflow, anti-patterns, Hypothesis & beyond.

Python MIT GitHub ↗
★ 0
stars
70
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

pbt-skills is a set of Claude Code skills that help generate real property-based tests (PBT) instead of tautologies or self-oracles. It enforces a discovery workflow: write the contract in English, name the oracle, reject obvious traps, then design generators. Who uses it: developers and testers using Claude Code to produce PBT, and Python users who want Hypothesis-specific guidance. Key features: - property-based-testing (language-agnostic): three-pass discovery workflow (contract → properties → implementation), property-driven design and failure-diagnosis modes, annotated anti-patterns, and an eight-category property taxonomy with examples in Python, TypeScript, Rust, and Haskell. - pbt-hypothesis (Python): Hypothesis strategies, RuleBasedStateMachine support, settings/profiles, and Hypothesis-specific traps. - Auto-activates on PBT-related prompts; simple install in Claude Code; MIT license; extensible for other libraries.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🤖 LLM models (1)
Claude
💾 Databases (1)
Oracle

GitHub Topics

#agent-skills #claude-code #claude-skills #hypothesis #pbt #property-based-testing #testing

Language breakdown (by bytes)

Shell
4.6%
Python
95.4%

Owner

Account
alialavia
Type
User
Followers
9
Company
GenerativeModels.ai

Dates

Created on GitHub 2026-05-20
Last push 2026-05-20
First seen here 2026-05-20
Last fetched 2026-05-20 16:10

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