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qm-wavefunction-coverage

Domain: qm · Model class: strong

Use this skill when you need to compute non-linear Born-rule coverage probability between test embeddings and bug patterns. Trigger phrases include: “which bugs are covered by tests”, “Born-rule test coverage”, “wavefunction overlap between tests and bugs”, “risk-weighted uncovered bugs”, “which bugs have no test coverage”, “quantum coverage probability”. This skill computes P(covers bug)=|⟨ψ_test|ψ_bug⟩|² to give non-linear coverage probabilities. Do NOT use when test and bug vectors are not comparable in the same embedding space.

Compute Born-rule squared-overlap coverage probability between test embeddings and bug pattern embeddings. Each test is a quantum state |ψ_test⟩ and each bug is a target state |ψ_bug⟩. The probability that a test “covers” a bug is |⟨ψ_test|ψ_bug⟩|², following the Born rule. Summing across all tests gives total coverage. Bugs with low total coverage and high risk scores are surfaced first via weighted risk = bug.risk × (1 − coverage_probability).

  • “qm-wavefunction-coverage”

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  1. Apply the qm-wavefunction-coverage skill to the user request.
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