cyberneticlibrary

Audit cross-language method parity

rpy-parity-auditworkflowsetup L330
RobsonTigre/everyday-causal-skills
What it does

Audit cross-language feature parity and equivalence

Best for

High-stakes architectural or strategic decisions requiring adversarial pressure-testing.

Inputs
  • · methods: array
Outputs
  • · report: markdown string
  • · findings: array
  • · synthesis: object
Requires
  • · YAML parsing
  • · bash/CLI
  • · Python 3
  • · R
Preconditions
  • · Baseline/reference available
  • · Git repo available
  • · Test fixtures/seeding available
Failure modes
  • · Verification step catches regression, halts pipeline
  • · Non-deterministic output fails bit-identity gate
  • · Agent output fails schema validation
Trust signals
  • · Structured agent output via JSON schema validation
  • · Independent verification phase before acceptance
  • · Determinism/reproducibility gates
  • · Reproducible test fixtures as reference
  • · Frozen reference for regression detection