What problem does it solve? Test suites often pass while verifying very little: tests with no assertions, only trivial null checks, or tautological round-trip comparisons give false confidence. This Skill audits test code to measure how varied and meaningful the assertions actually are, exposing shallow testing before bugs slip through. ## Core Features & Use Cases - Assertion Classification: Categorizes every assertion into 12 language-neutral categories (equality, exception, negative, state/side-effect, structural/deep, and more) across frameworks like MSTest, xUnit, pytest, Jest, JUnit, Go testing, RSpec, and GoogleTest. - Diversity Metrics: Computes suite-wide metrics including average assertions per test, assertion type spread, zero-assertion tests, trivial-only tests, and self-referential assertion detection. - Calibrated Reporting: Applies calibration rules so exception tests, guard null checks, and mock verifications are not misflagged, then produces a summary dashboard, gap analysis, and prioritized recommendations. - Use Case: Point the Skill at a pytest or Jest test directory and ask whether the tests verify anything meaningful; it returns a metrics dashboard listing assertion-free tests, missing negative assertions, and concrete suggestions per test method. ## Quick Start Analyze the assertion quality of the tests in my project's test directory and report which tests are shallow or missing meaningful assertions.
