Hypothesis is a powerful property-based testing library that automatically generates test cases to find edge cases and validate properties of your code.
Hypothesis Testing is a community-contributed Claude Code skill in the research-methods sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/hypothesis-testing/ and loads when your prompt matches the skill's trigger.
When to invoke it: Use when implementing comprehensive test coverage, testing complex logic with many inputs, or validating mathematical properties and invariants across input domains. Triggered by: hypothesis, property-based testing, @given, strategies, generative testing.
The Hypothesis Testing Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 69,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).
mkdir -p ~/.claude/skills/hypothesis-testing curl -L https://claudskills.com/skills/hypothesis-testing/SKILL.md \ -o ~/.claude/skills/hypothesis-testing/SKILL.md
Or just download SKILL.md directly and drop it into ~/.claude/skills/hypothesis-testing/. Claude Code auto-discovers it on next session.
Skills live at ~/.claude/skills/hypothesis-testing/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\hypothesis-testing\SKILL.md on Windows. See the full install guide for step-by-step instructions.
The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.
For the full experience including quality scoring and one-click install features for each skill — upgrade to Pro.
Browse all Science & Research skills in the ClaudSkills registry, or explore these other picks from the same category:
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SKILL.md files, not affiliated with, endorsed by, or sponsored by Anthropic.